#Fundamental Analysis of Tata Power

[themoneyart]

Fundamental Analysis of Tata Power || Tata Power Ka Fundamental Analysis

Efficiency की बात करे तो कंपनी अपनी परिसंपत्तियों और रोजगार में सुधार कर रही है और Financials की बात करे तो कंपनी के पास Stable Growth History And Manageable Debt है। अब Growth की बात हुई है तो आपको बता दू पिछले 3 वर्षों में Sales Growth : 31.89% और Profit Growth : 180.47% रही है। Tata Power जिसके पास बहुत सारे Future Proof Plans है।

भारत की Tata Power ने 8 मई 2024 को चौथी तिमाही में ₹895 करोड़ ($107.2 मिलियन) का समेकित शुद्ध लाभ दर्ज किया जो पिछले वर्ष से लगभग 15% अधिक है।जिसे देश में गर्मी और बढ़ती आर्थिक गतिविधियों के बीच मजबूत ऊर्जा मांग से मदद मिली। विश्लेषकों ने कहा था कि टाटा पावर, एनटीपीसी और पावर ग्रिड जैसी ऊर्जा कंपनियां लगातार चौथी तिमाही की आय की घोषणा करेंगी क्योंकि इस क्षेत्र को थर्मल और नवीकरणीय ऊर्जा क्षमता बढ़ने से लाभ होगा।

Full Details Here : Fundamental Analysis of Tata Power

[krstseo]

The Astonishing Scope of Mechanical Engineering in 2024

https://krct.ac.in/blog/2024/06/06/the-astonishing-scope-of-mechanical-engineering-in-2024/

The Astonishing Scope of Mechanical Engineering in 2024

Mechanical engineering stands as an essential field in the realm of engineering, celebrated for its broad applicability across numerous industries. In India, this field remains robust, offering a wealth of opportunities for graduates. From crafting cutting-edge automobiles and developing sustainable energy solutions to advancing the field of robotics, mechanical engineers drive technological progress. KRCT graduates are particularly well-prepared to seize these opportunities due to their rigorous education and training.

Understanding Mechanical Engineering

Mechanical engineering is a fundamental branch of engineering focused on the design, production, and maintenance of machinery. Also, it integrates the principles of engineering, physics, and materials science to analyse, design, manufacture, and maintain mechanical systems. Further, utilizing mathematical and scientific principles, mechanical engineers create and evaluate devices, engines, and other mechanical structures. In addition, their expertise extends to understanding how these systems interact with forces and environments. Moreover, the field covers a wide range of areas including thermodynamics, fluid mechanics, materials science, robotics, and control systems.

Career Prospects in Mechanical Engineering in India

Indeed, mechanical engineering is one of the most time-honoured and esteemed engineering disciplines in India. It offers abundant opportunities across sectors such as automotive, aerospace, energy, and construction. The Indian government’s significant investment in infrastructure and technology further fuels the demand for skilled mechanical engineers. Also, Graduates with a B.E / B. Tech or M.E / M. Tech in mechanical engineering can look forward to competitive salaries, strong job prospects, and ongoing professional development.

Career Paths and Job Opportunities for KRCT Graduates

For KRCT graduates, mechanical engineering offers a diverse and promising career landscape. Here are some detailed career paths and job opportunities:

Design Engineer

Design engineers use computer-aided design (CAD) software to create and develop new products and systems. They work on the conceptualization, development, and testing of product designs. Opportunities abound in sectors such as automotive, aerospace, consumer electronics, and industrial machinery, with employers like Tata Motors, Mahindra & Mahindra, and HAL (Hindustan Aeronautics Limited).

Manufacturing Engineer

Manufacturing engineers focus on designing and implementing production systems, managing production schedules, and ensuring cost-effective manufacturing processes. Roles in this field are available in industries such as automotive, electronics, heavy machinery, and consumer goods, with companies like Bosch, Godrej, and Larsen & Toubro.

Quality Control Engineer

Quality control engineers ensure that products meet required quality standards through rigorous testing and analysis. Further, they develop quality control processes, conduct inspections, and ensure compliance with industry standards, working in industries like pharmaceuticals, automotive, aerospace, and manufacturing. Employers include Bharat Heavy Electricals Limited (BHEL), Siemens, and Maruti Suzuki.

Maintenance Engineer

Maintenance engineers are tasked with maintaining and repairing mechanical systems and equipment to ensure optimal performance. They plan maintenance schedules, troubleshoot issues, and ensure minimal downtime in industries such as power generation, manufacturing, transportation, and oil and gas. Key employers include Reliance Industries, Indian Oil Corporation, and NTPC Limited.

Research and Development Engineer

Research and development engineers innovate new technologies and products through research and experimentation. They collaborate with scientists and other engineers in industries like technology, pharmaceuticals, automotive, and aerospace, with organizations such as DRDO (Defence Research and Development Organisation), ISRO (Indian Space Research Organisation), and Tata Consultancy Services.

Automotive Engineer

Automotive engineers design and develop vehicles such as cars, trucks, and motorcycles, focusing on engines, aerodynamics, and safety features. Employers in this field include Tata Motors, Ashok Leyland, and Maruti Suzuki.

Aerospace Engineer

Aerospace engineers work on the design and development of aircraft, spacecraft, and satellites, concentrating on aerodynamics, propulsion systems, and structural design. Industries like HAL, ISRO, Airbus, and Boeing provide career opportunities in this field.

Energy Engineer

Energy engineers specialize in developing renewable energy systems such as wind turbines and solar panels, aiming for efficient and sustainable designs. They find roles in companies like Suzlon Energy, Tata Power Solar, and Adani Green Energy.

Robotics Engineer

Robotics engineers design and build robots for industrial and personal use, developing robotic systems and automation solutions. This field offers opportunities with employers such as ABB, Kuka Robotics, and Tata Robotics.

Biomechanical Engineer

Biomechanical engineers develop medical devices, prosthetics, and implants, blending mechanical engineering with biomedical sciences. Opportunities exist in companies like Stryker, Medtronic, and GE Healthcare.

Materials Engineer

Materials engineers innovate new materials for various applications, including aerospace and medical fields, focusing on materials with specific properties. Employers include Tata Steel, Hindalco, and Jindal Steel & Power.

HVAC Engineer

HVAC engineers design heating, ventilation, and air conditioning systems, ensuring they are efficient, sustainable, and compliant with regulatory standards. Companies like Voltas, Blue Star, and Johnson Controls offer opportunities in this field.

Average Salary

Salaries for mechanical engineers in India vary based on qualifications and experience. However, Aerospace Engineers typically start at around INR 6 LPA, Maintenance Engineers at INR 2.5 LPA, and Automotive Engineers at INR 4 LPA. Control and Instrumentation Engineers, as well as Mechanical Engineers, generally begin with a salary of about INR 3 LPA. Furthermore, these figures reflect the diverse earning potential within the field.

To Conclude

The future of mechanical engineering in India is bright, with continuous advancements and growing demand for skilled professionals. So, if you are considering pursuing a Mechanical Engineering course, KRCT provides exceptional educa

tion, placement opportunities, and internships to give students a competitive edge in the industry. Thus, with a distinguished faculty and high-quality education, KRCT is the perfect choice for aspiring mechanical engineers.

Tags:

10 mechanical engineering scope in futureadmissionBest autonomous College of Technology in Trichybest companies for mechanical engineersbest Mech collegebtech mechanical engineering jobsclub activitiescollege hostal facilitydemand of mechanical engineeringEngineering counselling result tamilnaduengineering cutoff tamilnaduerp krct loginfuture of mechanical engineering in indiahighest paying mechanical engineering jobsis mechanical engineering a good career for girlsk. ramakrishnan college of engineeringKRCTlow engineering fees collegesmechanical designer jobsmechanical engineering job opportunitiesmechanical engineering jobs abroadmechanical engineering positionsmechanical maintenance engineermy camumy camu loginremote jobs for mechanical engineersscope after mechanical engineeringscope of mechanical engineering in india after 4 yearssenior mechanical engineerTop 10 engineering college in indiauniversity college of engineering trichy fees structurework from home mechanical e

[divyaramu874]

Unlocking the Secrets of Advanced Python Programming

As a Python Developer at Tata Consultancy Services, I understand the importance of advancing your Python skills to tackle more complex challenges. Mastering advanced Python requires a strategic approach that combines core principles, exploration of advanced topics, practical projects, and community engagement. If you're ready to take your Python expertise to the next level, enrolling in a Python Course in Hyderabad can provide the guidance and resources you need to succeed. Here's a detailed roadmap to help you embark on this enriching journey.

1. Master Core Concepts: Build a solid foundation by reinforcing your understanding of Python basics, including variables, data types, control structures, functions, and object-oriented programming (OOP). A strong grasp of these fundamentals is essential for tackling advanced topics effectively.

2. Explore Advanced Topics: Dive deeper into complex Python features such as decorators, generators, context managers, and metaclasses. These advanced concepts offer powerful ways to enhance the functionality and flexibility of your Python code.

3. Data Structures and Algorithms: Delve into the realm of data structures (heaps, graphs, trees) and algorithms (sorting, searching, dynamic programming) to write efficient and optimized code. Understanding these principles is crucial for solving complex problems with elegance and precision.

4. Third-Party Libraries: Familiarize yourself with popular Python libraries like NumPy, pandas, Matplotlib, Seaborn, Django, and Flask. These libraries empower you to perform advanced tasks in areas such as data analysis, visualization, web development, and more.

5. Concurrency: Learn about concurrency mechanisms such as threading, multiprocessing, and asynchronous programming (asyncio) to handle multiple tasks simultaneously and optimize performance in Python applications.

6. Design Patterns: Study common design patterns like Singleton, Factory, Observer, and Strategy to architect scalable and maintainable Python code. These patterns provide proven solutions to recurring design challenges in software development.

7. Project Work: Apply your knowledge by undertaking challenging projects that push the boundaries of your skills. Whether it's building web applications, data analysis pipelines, machine learning models, or automation scripts, hands-on projects provide invaluable real-world experience.

8. Source Code Review: Analyze Python code from open-source projects on platforms like GitHub to gain insights into different coding styles and best practices. Contributing to open-source projects also allows you to collaborate with other developers and contribute to the Python community.

9. Advanced Tutorials and Courses: Enroll in specialized Python online course and tutorials that focus on advanced topics. Platforms like ACTE Technologies offer comprehensive courses designed to deepen your expertise and broaden your skill set.

10. Community Engagement: Join Python communities, participate in webinars, and engage with forums like Stack Overflow and Reddit's r/learnpython. Interacting with fellow developers allows you to seek guidance, share knowledge, and stay updated on the latest trends and developments in the Python ecosystem.

By following this roadmap, you can progressively enhance your proficiency in advanced Python programming, equipping yourself with the skills and knowledge needed to tackle complex challenges with confidence and creativity.

[homoeoamigovj1]

Is Homeopathic treatment real or a placebo?

An age-old debate on homeopathic treatment 

Homeopathic treatment is an age-old therapy, and over the years it has received recognition throughout the world. Research identifies that homeopathy enthusiasts are less likely to indulge in traditional pharma medicines.This has come with several years of association and belief and they seldom want to associate themselves with any other treatment. The reason behind this is varied but some of the prominent ones are:-

Very economical

Less chances of side effects

The medication deals with the overall well being of the patients

Very less chances of surgery or any other surgical procedure

But have we ever thought of the fact that homeopathic treatment exists for real or is it a simple placebo effect?

 Inventor of placebo-effect

Henry K. Beecher was an American researcher and anesthesiologist. He was the first person who introduced us with the very term ‘placebo’, through his published classic work entitled ‘The Powerful Placebo’.Since 1935, he had suggested that placebo effects occurred in around 35% people and that indeed the white globules play a great psychological role to their users. He demanded that, it has been observed  that in homeopathic treatment, patients are given only globules which are devoid of any medicinal value and patients get cured due to their over reliance. But post this era, several other research, surveys and analysis were done, which are in stark contrast to what Henry K. Beecher had stated way back in the late 30’s.

Research and Development

Recent studies in the medical fraternity have stated a completely different picture to what has till now been reinstated.The Global Homeopathic Foundation better known as the GHA has held seminars a few weeks ago in Mumbai. There scientists from Bhabha Atomic Research Centre (BARC) in Chembur, IIT-B in Powai and Tata Institute of Fundamental Research had shared their opinion on the debated concept which has attracted the interest of the scientists from Italy, Austria and Brazil. 

Myth busted

One of the most prominent myths,defaming homeopathic treatment, is that since it is highly diluted it doesn't have any medicinal value other than placebo effect. However, Professor Jayesh Bhallare, Head of the Department of Chemistry at IIT-B has claimed that  their research indeed had found that homeopathy has nano micro particles of medicinal molecules. Claims have also been made that the presence of energy particles have been found in homeopathy using laser beams.

Case Study

 Eminent physicians around the world had been working closely on a bleeding disorder called ‘hemophilia’.They had demanded that 500 cases of this kind of patients had been treated through homeotherapy and that the bleeding disorder had been stalled by administering homeopathic treatments. The patients were long undergoing allopathic treatments but the medicines made no changes in their condition.

Celebrities Relying on Homeopathy

When there is a significant section of people debating on the usefulness of homeopathy, celebrities are also not lagging behind.Names as high as Prince Charles and his wife Camila are homeopathy reliants. It is known how the late queen and princess Diana all had homeopathic doctors. The prince and his wife are to be believed to visit the holistic health retreat Soukya in India frequently and seek homeopathic treatment. Additionally soccer star David Beckham, actors-Jennifer Aniston, Jude Law and Paul MCartney all are firm advocates of homeopathic treatments.

Homeopathy in India

While the scenario around the globe is quite promising, India is also not much way behind.Survey suggests that India is one of the core markets, where 62% of the population are advocates of homeopathy. We have several cities in India where homeopathic treatments are in vogue.

Best Homeopathic clinics in Delhi

 Several homeopathic brands are there who are providing holistic treatments and the brand topping the list is Homoeo Amigo. It is a prominent healthcare provider and is providing seamless healing treatments by treating through root cause.They are operational through homeopathic clinics in Delhi,Noida and Kolkata.The best homeopathic doctors in Delhi treat the patients and provide affordable treatment, devoid of any side effects. The brand headed by Mr. Karan Bhargava, aims to become the one stop solution provider to various ailments, by treating the underlying issue.The clinics are of the highest standards with proper hygiene, individual care and commitment for well-being. Experience the highest standard of homeopathic treatment for diseases like-skin, asthma, hair, stress anxiety and many more. To receive the best treatment, consult your nearby Homoeo Amigo clinic today.

[dataanalystcourses]

Data Science Training in Bangalore Unlocking the Power of Regression Analysis

Introduction

Data science has emerged as a transformative force across industries, and Bangalore, often referred to as the "Silicon Valley of India," stands at the forefront of this data-driven revolution. In a city brimming with tech innovation, startups, and global IT giants, the role of data science is indispensable. One of the fundamental and versatile techniques in data science is regression analysis. This blog delves into the significance of mastering regression analysis in the context of data science training in Bangalore. We will explore the importance of regression analysis, its wide-ranging applications, and how institutions like 360digiTMG, a leading data science training institute, equip aspiring data scientists with this powerful tool.

The Data Science Landscape in Bangalore

Bangalore's data science ecosystem is vibrant and dynamic, driven by various factors:

1. Tech Hub: Bangalore is home to numerous technology giants such as Infosys, Wipro, IBM, and Tata Consultancy Services (TCS). These companies generate massive volumes of data that require cutting-edge analytics.

2. Startup Ecosystem: The city has a thriving startup culture, with companies exploring data science to gain a competitive edge, whether in e-commerce, healthcare, or fintech.

3. Academic Excellence: Bangalore boasts premier educational institutions, including the Indian Institute of Science (IISc) and several Indian Institutes of Technology (IITs). These institutions foster research and innovation in data science and machine learning.

4. Diverse Industries: Data analytics has permeated various sectors in Bangalore, from e-commerce and healthcare to finance and manufacturing, making it a hub for data-driven decision-making.

5. Networking Opportunities: The city provides ample opportunities for data enthusiasts to network, collaborate, and learn from industry experts and peers.

Given this rich data landscape, the demand for data scientists skilled in regression analysis is on the rise.

 The Significance of Regression Analysis

Regression analysis is a statistical method used in data science for various crucial reasons:

1. Pattern Recognition: It helps data scientists recognize and understand relationships between variables, paving the way for pattern discovery.

2. Prediction: Regression analysis is instrumental in making predictions, whether it's forecasting sales, estimating stock prices, or predicting customer behaviour.

3. Inferential Insights: Data scientists employ regression to draw inferences about the impact of one or more independent variables on a dependent variable.

4. Model Interpretation: It enables data scientists to interpret models and understand the significance and influence of different variables on outcomes.

5. Customization: Regression includes diverse types such as linear, logistic, and polynomial regression, allowing tailoring to different data types and problem scenarios.

6. Decision-Making Support: The insights derived from regression models support data-driven decision-making, which is paramount in the business world.

Understanding Regression Analysis

Regression analysis encompasses a range of techniques, including:

1. Linear Regression: This method models the relationship between a dependent variable and one or more independent variables using a linear equation. Linear regression is widely used for predicting numerical outcomes.

2. Logistic Regression: Logistic regression is suited for binary classification problems, such as predicting whether a customer will churn (yes/no).

3. Polynomial Regression: This extension of linear regression accommodates nonlinear relationships between variables.

4. Ridge and Lasso Regression: Regularization techniques like ridge and lasso prevent overfitting in regression models by adding penalty terms to coefficients.

5. Time Series Regression: Specialized techniques are used for time series data, where observations occur at successive time points.

6. Elastic Net Regression: Elastic Net combines ridge and lasso regression to balance between feature selection and model complexity.

7. Multivariate Regression: Multivariate regression handles multiple dependent and independent variables, making it useful for complex relationships in data.

Data scientists in Bangalore often need to choose the most appropriate regression technique for the specific problem they are tackling, emphasizing the importance of a solid understanding of these methods.

 Applications in Bangalore's Data Landscape

Regression analysis finds diverse applications in Bangalore's data landscape:

1. E-commerce: It is used for demand forecasting, pricing optimization, and customer segmentation in the competitive e-commerce sector.

2. Healthcare: Healthcare organizations leverage regression to predict patient outcomes, disease risk, and resource allocation.

3. Finance: Regression supports predicting stock prices, credit risk assessment, and fraud detection in the financial sector.

4. Manufacturing: It helps optimize production processes, quality control, and equipment maintenance.

5. Marketing: Marketers apply regression to analyze the impact of advertising campaigns, customer behavior, and market trends.

6. Telecommunications: Regression techniques are used for network performance analysis, customer churn prediction, and resource allocation.

7. Agriculture: Regression aids in predicting crop yields, pest control, and resource optimization in the agricultural sector.

Mastering regression analysis is essential for data professionals in Bangalore to address real-world challenges and make informed decisions in diverse industries.

 Data Science Training in Bangalore

data science course fees in bangalore play a pivotal role in equipping aspiring data professionals with the knowledge and skills in regression analysis:

1. Comprehensive Curriculum: These institutes offer a comprehensive curriculum that covers various regression techniques, their applications, and hands-on practice.

2. Practical Experience: Students gain practical experience by working on real datasets, implementing regression models, and interpreting results.

3. Expert Faculty: The faculty at these institutes comprises experienced data professionals who provide insights and guidance based on their industry expertise.

4. Customized Learning Paths: Students can choose learning paths that align with their career goals, whether it's business analytics, data engineering, or machine learning.

5. Career Support: Many institutes offer job placement assistance, interview preparation, and career support to help graduates secure data science positions in Bangalore's competitive job market.

 Conclusion

Mastering regression analysis is indispensable in the data science landscape of Bangalore

 These techniques empower data professionals to make informed decisions, develop predictive models, and address the evolving challenges in the dynamic world of data analytics.

Data science training institutes, like 360digiTMG, are instrumental in preparing data professionals to apply regression analysis effectively. Their education and practical experience enable graduates to contribute significantly to data-driven decision-making and innovation in Bangalore's competitive business environment. Regression analysis is not just a tool; it is the cornerstone of data science excellence in this technology hub of India.

Navigate To:

360DigiTMG - Data Science,Data Scientist Course Training in Bangalore

No 23, 2nd Floor, 9th Main Rd, 22nd Cross Rd,7th Sector, HSR Layout, Bangalore, Karnataka-560102.

Phone: 1800-212-654321

Email: enquiry@360digitmg.com

[stockmarketanalysis]

Top 20 Dividend Stocks to Trade in India for Steady Income

Introduction: Investing in dividend stocks is a popular strategy for generating passive income while participating in the growth potential of the stock market. In India, where the stock market offers a plethora of options, identifying the best dividend stocks can be a daunting task. However, with careful research and analysis, investors can uncover opportunities that provide both capital appreciation and regular dividend payments. In this article, we'll explore 20 of the best dividend stocks to trade in India, offering a blend of stability, growth potential, and attractive dividend yields.

Hindustan Unilever Limited (HUL):

HUL is a household name in India, known for its wide range of consumer goods.

The company has a consistent track record of delivering strong dividends to its shareholders.

With its stable revenue streams and market dominance, HUL remains a top choice for dividend investors.

Reliance Industries Limited (RIL):

RIL is one of India's largest conglomerates, with interests in various sectors including petrochemicals, refining, and telecommunications.

The company has a history of rewarding its shareholders with generous dividends.

RIL's diversified business model and strong cash flows make it an attractive pick for dividend-seeking investors.

Infosys Limited:

Infosys is a leading global provider of information technology services and consulting.

The company has consistently maintained a healthy dividend payout ratio and has a strong balance sheet.

With the growing demand for digital services, Infosys is well-positioned to continue its dividend growth trajectory.

Tata Consultancy Services (TCS):

TCS is another IT giant in India known for its software development and IT services.

The company has a commendable dividend track record and a robust business model.

TCS's global presence and focus on innovation make it a reliable dividend stock for investors.

HDFC Bank:

HDFC Bank is one of India's largest private sector banks, offering a wide range of financial products and services.

The bank has a history of consistent dividend payments and strong asset quality.

With its solid fundamentals and leading market position, HDFC Bank is a preferred choice for dividend investors in the banking sector.

ICICI Bank:

ICICI Bank is another prominent player in India's banking sector, providing banking and financial services to millions of customers.

The bank has been steadily increasing its dividend payouts over the years.

Despite the challenges in the banking industry, ICICI Bank's prudent risk management practices make it a reliable dividend stock.

Coal India Limited:

Coal India is the world's largest coal mining company, catering to the energy needs of various industries.

The company offers an attractive dividend yield backed by its dominant market position.

With the government's focus on boosting coal production, Coal India presents a compelling opportunity for dividend investors.

ITC Limited:

ITC is a diversified conglomerate with business interests in FMCG, hotels, paperboards, and packaging.

The company has a long history of rewarding its shareholders with consistent dividends.

Despite facing challenges in certain segments, ITC's strong brand portfolio and distribution network make it a reliable dividend stock.

Power Grid Corporation of India:

Power Grid Corp is India's largest electric utilities company, engaged in transmission and distribution of electricity.

The company offers a stable dividend yield supported by its essential role in India's power sector.

With ongoing investments in infrastructure development, Power Grid Corp presents an attractive opportunity for dividend investors.

ONGC (Oil and Natural Gas Corporation):

ONGC is India's largest oil and gas exploration company, contributing significantly to the country's energy security.

The company offers an attractive dividend yield backed by its strong cash flows and low production costs.

Despite fluctuations in global oil prices, ONGC's diversified operations and focus on cost efficiency make it a reliable dividend stock.

NTPC Limited:

NTPC is India's largest power utility company, engaged in the generation and sale of electricity.

The company has a consistent track record of paying dividends and has a strong presence in the power generation sector.

With its focus on renewable energy and capacity expansion, NTPC is well-positioned to sustain its dividend payouts in the long run.

Bharat Petroleum Corporation Limited (BPCL):

BPCL is one of India's leading oil marketing companies, involved in refining, marketing, and distribution of petroleum products.

The company offers an attractive dividend yield and benefits from the government's policies to boost the energy sector.

Despite regulatory challenges, BPCL's strong market presence and efficient operations make it a promising dividend stock.

Tata Power Company Limited:

Tata Power is one of India's largest integrated power companies, with a significant presence in generation, transmission, and distribution of electricity.

The company offers a stable dividend yield supported by its diversified business model and long-term power purchase agreements.

With its focus on renewable energy and sustainable practices, Tata Power presents an appealing opportunity for dividend investors.

Infosys Limited:

Infosys is a leading global provider of information technology services and consulting.

The company has consistently maintained a healthy dividend payout ratio and has a strong balance sheet.

With the growing demand for digital services, Infosys is well-positioned to continue its dividend growth trajectory.

Bajaj Auto Limited:

Bajaj Auto is one of India's largest two-wheeler manufacturers, known for its high-quality products and strong distribution network.

The company offers an attractive dividend yield and benefits from the resilience of the Indian automobile market.

Despite challenges posed by regulatory changes and competition, Bajaj Auto's strong brand presence and export capabilities make it a promising dividend stock.

Hindustan Petroleum Corporation Limited (HPCL):

HPCL is another major player in India's oil and gas sector, engaged in refining and marketing of petroleum products.

The company offers a stable dividend yield and benefits from the government's initiatives to promote clean energy.

Despite volatility in global oil markets, HPCL's integrated business model and focus on efficiency make it an attractive dividend stock.

Asian Paints Limited:

Asian Paints is India's largest and Asia's third-largest paint company, with a strong presence in decorative and industrial coatings.

The company has a consistent track record of delivering strong dividends to its shareholders.

With its robust distribution network and focus on innovation, Asian Paints is well-positioned to capitalize on the growing demand for paints and coatings.

Hero MotoCorp Limited:

Hero MotoCorp is the world's largest manufacturer of motorcycles and scooters, catering to the diverse needs of Indian consumers.

The company offers an attractive dividend yield and benefits from its dominant market position in the two-wheeler segment.

Despite challenges in the automotive industry, Hero MotoCorp's strong brand equity and extensive dealership network make it a preferred choice for dividend investors.

Larsen & Toubro Limited (L&T):

L&T

[tatatechnologies]

In today’s fast-evolving automotive landscape, both automotive enthusiasts and automakers share a common goal: delivering exceptional customer experiences across every touchpoint of the customer journey.

At Tata Technologies’ Experience Centre, we are leveraging cutting-edge tools and technologies to design customer-centric solutions that enable a virtual, end-to-end customer journey.

Augmented Reality (AR), Virtual Reality (VR), Artificial Intelligence (AI), and Machine Learning (ML) are the cornerstones of our approach, enabling us to understand customer emotions, fine-tune product configurations through AI-aided lead scoring, execute real-time campaigns, and offer recommendations for post-sales needs. These solutions empower automakers to maintain a competitive edge in the dynamic business world.

As we traverse this era of unprecedented transformation, customer expectations have undergone a significant metamorphosis. Today’s customers demand real-time or near-real-time interactions with OEMs, retailers, or product vendors. This change in dynamics has prompted OEMs to proactively engage with customers, understand their sentiments, and adapt rapidly, especially in the face of unforeseen events like the pandemic.

We now exist in a world that revolves around the customer, where the shape of the customer journey remains unaltered but the reach and influence have expanded exponentially. While the dynamics of purchasing power and service channels have morphed, OEMs are at the forefront of offering the right solutions for customer-centricity. Recognising the shifts in consumer behavior is the key to success, allowing OEMs to engage customers in meaningful conversations and arm them with digital tools and solutions.

Customers today have a multitude of channels at their disposal, and the advent of social media has empowered them with information about the services and products they desire. Hence, a digitally enabled and integrated IT landscape has become imperative, facilitating the analysis of data-driven insights, ensuring customer interest, supporting purchases, and offering after-sales services that stay ahead of the curve.

In the past, the automotive customer experience primarily revolved around showroom visits, allowing customers to explore products and understand the associated offers and features. However, the present and future states of this journey are undergoing a fundamental transformation, evolving from a predominantly physical journey to a “Phygital” one, characterized by seamless integration of virtual and dynamic touchpoints.

The automotive industry is undergoing a seismic shift, driven by advancements in Connectivity, Electrification, Autonomous vehicles, and Sustainability, largely in response to environmental concerns. With the advent of technologies like connected vehicles and the progress made by automakers in autonomous vehicles, customer expectations are crystal clear: they want to interact with their cars from anywhere, at any time.

To provide an immersive customer experience and to remain competitive, a digital ecosystem that offers a seamless omnichannel experience across the entire customer lifecycle journey is essential. This ecosystem spans research, purchase, ownership, and post-sales services. While some automakers may choose to stick with traditional approaches due to the rigidity of their IT systems, the successful ones will be those that embrace next-generation experiences, underpinned by technological advancements and innovative solutions, enabled by AI and ML.

Various solutions have been implemented by automakers to remain competitive. Some of these include:

• Personalization: Personalization is not merely a buzzword but a pivotal element in today’s automotive landscape. With the assistance of Artificial Intelligence (AI) and Machine Learning (ML) algorithms, the depth of personalization extends far beyond traditional approaches. These advanced technologies empower automakers to delve into user data, comprehending usage patterns, customer preferences, and even intricate demographic information.

Through this in-depth analysis, automakers can offer personalized campaigns that truly resonate with each individual customer. Recommendations during both the sales and post-sales journeys are fine-tuned to match specific needs and preferences. AI-powered Chatbots further enhance the customer experience by providing real-time, customer-centric responses. This level of real-time assistance results in seamless communication across all customer touchpoints, leaving a lasting, positive impression.

Vehicle 360 and Customer 360 are the cornerstones for offering a truly personalized experience. AI and ML plugins, coupled with Generative AI algorithms, shed light on the KPIs of stakeholders, making their objectives clearer and the actions to achieve them more transparent. This has the added benefit of not only enhancing customer experiences but also improving Employee Experience (EX) and Dealer Experience (DX). The result is a more productive team with increased focus on business, ensuring better conversations and outcomes.

• Mobile Ready & NextGen platform: The modern automotive landscape necessitates an agile, mobile-ready IT infrastructure that can seamlessly integrate a multitude of customer touchpoints. As we step into the future, customer reach and interaction have evolved significantly. This evolution has given rise to the concept of “Phygital Channels.” Augmented Reality (AR) and Virtual Reality (VR) are now central to the customer experience, allowing them to explore and interact with vehicles in a virtual realm. Customers can engage in digital consultations with experts, creating a transformative experience.

This shift has transformed traditional showrooms into what can be described as “Digital Dealerships.” The customers’ journey from online to offline is smooth, ensuring no loss of information and a consistently unique experience. Furthermore, this approach has empowered customers to engage in ‘Direct to Customer’ interactions, establishing a direct connection between automakers and customers. This direct communication channel facilitates the exchange of vital information, promoting a more personalized and tailored experience.

With these technological advancements and the seamless integration of mobile-ready platforms, customers have more control over their purchase journey. They can configure products with ease, handle financial transactions, reimbursements, online payments, and renew annual contracts from the comfort of their chosen online channel. As a result, customers have become more empowered and influential throughout the purchase journey.

• 2C (Convenient and Connected): Automakers offer flexible engagement options, such as subscription-based services, online retail channels, and shared mobility. Vehicles have evolved from mere products to data-driven assets connected to a robust IT ecosystem, which tracks, monitors, and provides valuable insights. This continuous connection enhances the customer experience, fostering loyalty through ongoing value.

Every facet of the customer experience is increasingly interconnected with the digital ecosystem. By integrating various channels and securing customer consent, every customer need can be automated, creating a seamless experience.

Automakers that embrace a “N-E-X-T Gen” approach — focusing on Customer Centricity, Connectedness, Digital Supply Chain & Smart Manufacturing, and Engaging Workforce with Mobility Services — will earn the loyalty of their customers. As Steve Jobs famously said, “The customer is always the hero of the story,” and customer centricity is the linchpin for fostering strong emotional bonds between customers and their products. It offers curated, hyper-personalized experiences throughout the customer journey, making customers not just loyal but also influencers and ambassadors for your brand.

Original Source: https://www.tatatechnologies.com/media-center/how-automakers-can-use-ai-ml-to-gauge-customer-sentiment/

Vimal Limbad is Head, Global Centre of Excellence, Customer Experience at Tata Technologies

[sonali2345]

"Empowering Nations: The Role of Power Grids in Economic Development 

The power grid plays a pivotal role in connecting distribution networks that facilitate the transmission of electricity from power plants to end consumers. Offshore power grids are particularly significant, harnessing renewable sources like wind energy. The subsea power grid system market is closely tied to the offshore and subsea industries, its growth influenced by the dynamics of the parent market. The subsea sector has experienced rapid capital expenditure, underscoring global development. 

𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐁𝐫𝐨𝐜𝐡𝐮𝐫𝐞 : https://www.alliedmarketresearch.com/request-toc-and-sample/15233  

Critical subsea equipment, including boosters, compressors, and blowers, demands a reliable power supply for effective subsea exploration. Subsea power grid systems fulfill this need, supporting seamless subsea activities. Power, as a fundamental infrastructure component, is crucial for economic development and the overall well-being of nations. India's diverse power sector encompasses various sources, from conventional ones like coal and natural gas to non-conventional sources such as wind and solar energy. 

COVID-19 has left a notable impact on the global power grid sector. Production halts and disrupted supply chains have affected power grid manufacturers. The pandemic has accelerated the demand for smart systems in power grid operations to minimize human intervention. Some companies in the power grid sector are yet to resume operations due to workforce shortages, potentially hindering market growth. 

𝐄𝐧𝐪𝐮𝐢𝐫𝐲 𝐁𝐞𝐟𝐨𝐫𝐞 𝐁𝐮𝐲𝐢𝐧𝐠 : https://www.alliedmarketresearch.com/purchase-enquiry/15233  

Key Factors Influencing the Power Grid Market: 

Shortage of Fossil Fuels and Global Warming: Increasing awareness of the environmental impact and a dwindling supply of fossil fuels drive the global power grid market. 

Government Allocations and Private Investments: Growing government and private sector investments contribute to the expansion of power grid systems. 

Technological Advancements and IoT Integration: Adoption of advanced technologies and the Internet of Things (IoT) reduces power losses, enhancing grid efficiency. 

However, the substantial initial investment remains a significant hurdle to market growth. The development of offshore power grid systems presents opportunities for major players to extend electricity distribution to regions with higher production costs. 

Market Trends: 

In March 2021, Actis LLP invested US$ 850 million in launching green energy plants in India, focusing on solar, wind, and commercial sectors. 

In December 2020, a US$ 100 million loan agreement between ADB and the Government of India aimed to modernize the power distribution system in Bengaluru. 

Tata Power secured a letter of award in January 2021 to create a 110 MW solar project in Kerala. 

India's largest hybrid sustainable energy park, with a 30 GW capacity, was initiated in Gujarat in December 2020. 

ADB and the Government of India signed a US$ 132.8 million credit in December 2020 to strengthen distribution networks in Meghalaya. 

NTPC announced a Rs. 50,000 crore investment in December 2019 to add 10 GW solar energy capacity by 2022. 

𝐆𝐞𝐭 𝐚 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐞𝐝 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐑𝐞𝐩𝐨𝐫𝐭 @ : https://www.alliedmarketresearch.com/request-for-customization/15233  

Key Benefits of the Report: 

Analytical depiction of the power grid industry with current trends and future estimations. 

Information on key drivers, restraints, and opportunities, along with a detailed market share analysis. 

Quantitative analysis of the market growth scenario from 2020 to 2028. 

Porter’s five forces analysis illustrating buyer and supplier potency. 

Detailed power grid market analysis based on competitive intensity and future competition expectations. 

Power Grid Market Report Highlights: 

Components: Cables, Variable Speed Drivers, Transformers, Switchgears, Others. 

Power Supply: Captive Generation, Wind Power, Tidal Power, Solar Power, Others. 

Regions: North America, Europe, Asia-Pacific, LAMEA. 

Key Market Players: Fujitsu General, Schneider Electric, Siemens, Hubbell, ABB, Wipro, IBM, Belden, Honeywell Elster, Cisco, Oracle, Itron, FMC Technologies Inc, ABB Ltd, Cameron International Corp, Aker Solutions ASA, General Electric, Landis+Gyr. 

[abhijitsathe2]

Sodium Hydroxide Market Forecast 2024 to 2032

Sodium hydroxide, commonly known as caustic soda or lye, is a strong and highly caustic compound with the chemical formula NaOH. It is an inorganic base and alkali that is widely used in various industrial, commercial, and laboratory applications. Sodium hydroxide is produced through the chemical reaction of sodium carbonate (soda ash) with calcium hydroxide (slaked lime) or through the electrolysis of sodium chloride (table salt) in a process called the chlor-alkali process.

The Sodium Hydroxide Market was valued at USD 34.36 Billion in 2022 and is expected to register a CAGR of 5.1% by 2032.

Sodium hydroxide is a fundamental chemical used in the production of a wide range of products, including detergents, soaps, textiles, plastics, and various chemical compounds. The growth of these industries drives the demand for sodium hydroxide as a key raw material.

Get PDF Sample Report: https://www.xcellentinsights.com/enquiry/sample/501192

Key companies:

• BASF SE • Dow Chemical Company • Shin-Etsu Chemical Co Ltd • Westlake Chemical Corporation • Tosoh Corporation • FMC Corporation • Olin Corporation • Formosa Plastics Corporation • Covestro AG • Solvay S.A. • Gujarat Alkalies and Chemicals Limited • Occidental Petrochemical Corporation • Tata Chemicals Ltd. • Xinjiang Zhongtai Chemical Co. Ltd. • Vynova Group • Other Prominent Players

Sodium Hydroxide Market Segments

• By Product Type o Flakes o Caustic Lye

• By Application o Cleaning Agent o Catalyst o Additive

• By End Use o Pulp and Paper o Personal Care o Pharmaceutical o Textile o Food & Beverages Industry o Oil & Gas Industry o Aluminum

Get Full report + Tables + Graphs: https://www.xcellentinsights.com/reports/sodium-hydroxide-market-501192

About Us:

Xcellent Insights is a market intelligence provider and consulting firm. We offer data-driven research services based on multiple analysis frameworks which helps businesses across the globe to understand current market scenario and align their strategic initiatives.

We offer syndicated research reports, customized research reports, consulting services and datasets which are mapped across multiple datapoints.

We provide research reports for all the industry sectors like Consumer Goods, Packaging, Chemicals and Materials, Healthcare, Pharmaceuticals, Medical Devices, Agriculture, Food and Beverages, Automobile and transportation, Electronics and Semiconductors, IT and Communication, Energy and Power, Machinery and Equipment.

Contact Us:

Name: Willie J

Phone: US: +1 4086277717

UK: +44 2086386439

Email: sales@xcellentinsights.com

[updatedgeek]

Tata Power Share Price Target 2023, 2024, 2025, and 2030 | Technical Analysis and Fundamental Analysis

Tata Power is a power generation business with the goal of dominating the global power industry. The article's main objective is to forecast the share price of Tata Power for the foreseeable future using technical analysis and fundamental analysis.

Description of Tata Power

Tata Power, which has an installed generation capacity of over 10,000 Megawatts, is India's largest power-generating firm. Mumbai, Maharashtra, India is where the business is located.

Dorabji Tata established the business in September 1919. The third-placed Tata Power is India's largest integrated power firm according to IIM Udaipur's 2017 rankings of ethical businesses. It turned out that the business was the first in India to ship more than 1 GW of solar modules.

Most Recent Earnings for Tata Power

Tata Power's most recent revenue for 2022 is Rs 42,576 crores. Net income is Rs 2,156 crores whereas operational income is Rs 8,191 crores. Tata Power has a total value of Rs. 112,884 crores in assets and Rs. 22,441 crores in equity.

A Technical Analysis of Tata Power

The price of a Tata Power share at the moment is Rs 229.20. In April 2022, the price reached a high of Rs 295.

Since April 2022, the price has been steadily building a triangular pattern. In the previous 13 months, the price has contacted the horizontal line five times. At this time, an upward breakout and movement of the price are anticipated.

Since the moving average line meets the current price bar, the current price of Tata Power shares is the ideal entry point for the trade when taking the 200 moving average into account.

Aggressive buyers can buy at the current price, and cautious buyers can hold off until the price is close to the horizontal line.

Fundamental analysis of Tata Power

The market value of Tata Power exceeds Rs 70,000 crores. The PE ratio above 15 serves as yet another argument. Tata Power's sales are increasing by about 15%, while its profits are increasing by more than 850%.

Tata Power dividends

The business announced dividends of Rs. 1.75 on June 20, 2022, Rs. 1.55 on June 21, Rs. 1.55 on July 2020, Rs. 1.30 on June 2019, Rs. 1.30 on July 18, Rs. 1.30 on August 2017, Rs. 1.30 on September 2016, Rs. 1.30 on July 2015, Rs. 1.15 on July 2013, Rs. 1.25 on July 2012, Rs. 12.50 on August 11, Rs. 10 on August 2010, Rs. 11.50 on July 2009, Rs. 10.50 on August 2008, Rs. Rs 9.50 on July 2007, Rs 8.50 on July 2006, and so on.

This demonstrates that Tata Power has consistently paid shareholders dividends from the company's founding.

Target price for Tata Power's stock

The price range for Tata Power's shares in 2023, 2024, 2025, and 2030 is between Rs 290 and Rs 360, Rs 400 and Rs 470, Rs 510 and Rs 550, and Rs 1200 to Rs 1420.

Future share price of Tata Power

Tata Power expects its business to thrive in the future as a result of emerging electric vehicle technologies. Clean energy and charging stations will be more in demand as the number of electric vehicle sales rises. With future expansion in mind, Tata Power has been working to upgrade its infrastructure. The business also intends to collaborate with businesses from the public and private sectors.

Tata Power share risks

Due to the rising demand, several businesses have already started to enter the power industry, which is one of the risk factors.

The huge investment for which Tata Power has also taken out sizeable loans is another significant risk issue.

Is Tata Power a wise investment?

Tata Power is a reliable stock to buy, yes. There are a number of arguments in favor of purchasing Tata Power shares at the current rate. The first is the rise in interest in electric cars. The steady dividend declaration comes in second.

The Rivals of Tata Power

The major competitors of Tata Power are

Reliance Power

Adani Power

Power Grid Corporation

NTPC

Disclaimer: If you're considering investing in the stock market, talk to a financial professional first. Consider the risk and research the company's specifics.

A lot of people have questions

What is Tata Power aiming for?

The price range for Tata Power's shares in 2023, 2024, 2025, and 2030 is between Rs 290 and Rs 360, Rs 400 and Rs 470, Rs 510 and Rs 550, and Rs 1200 to Rs 1420.

What is Tata Power Share's outlook?

Long-term prospects for Tata Power share owners are favorable.

Can I buy shares in Tata Power right now?

Yes, you can currently acquire shares of Tata Power.

What is the 2025 share price target for Tata Power?

The price range for Tata Power's shares in 2025 is between Rs. 510 and Rs. 550.

https://updatedgeek.com/tata-power-share-price-target/

[cool-akashy-maximize]

Indian Electric Vehicle Market Applications, Future Demand, Top Leading Players, Competitive Situation, Emerging Trends and Forecast to 2029

Indian Electric Vehicle Market: is expected to reach US$ 528.27 Bn by 2029, at a CAGR of 90.65% during the forecast period.

Indian Electric Vehicle Market Overview:

Indian Electric Vehicle Market research report explores and evaluates the market's position during the predicted period. It is in-depth study that focuses on fundamental and secondary drivers, market dominance, key segments, and geographic analysis. The research also looks at notable individuals, large collaborations, mergers, and acquisitions, as well as contemporary innovation and corporate strategy.

Indian Electric Vehicle Market Dynamic:

Indian is aiming to reduce its overall oil import expense and pollution level across cities, electric vehicles will play a remarkable role in achieving the target. Strong government support and hike in crude oil prices drive the electric vehicle market in Indian. The government of Indian will ban petrol and diesel cars by 2030.

This means that petrol/diesel cars won’t be allowed on road after 2030 only electric cars will be sold. The government’s ban on petrol and diesel car is a powerful endorsement of electric, green technology, and can change the transportation industry forever. Government initiative for electric vehicles under FAME (Faster Adoption and Manufacturing of Hybrid and Electric Vehicles) Indian and NEMMP (National Electric Mobility Mission Plan) 2022 creates a potential opportunity for electric vehicle in Indian. Low maintenance and operations costs of electric vehicles coupled with a drop in battery price favour E-Vehicle adoption.

To Get a Copy of the Sample of the Indian Electric Vehicle Market Click: https://www.maximizemarketresearch.com/request-sample/14886

Market Scope:

We examined the Indian Electric Vehicle Market from every angle conceivable, including both primary and secondary research approaches. This improved our grasp of current market dynamics such as supply-demand imbalances, pricing trends, product preferences, and consumer behavior. Following that, the data is collated and evaluated utilizing a variety of market estimation and data validation procedures. In addition, we have an in-house data forecasting engine that predicts market growth until 2027.

Indian Electric Vehicle Market Segmentation:

Indian electric vehicle market is segmented by technology, by power source, by vehicle type and by powertrain. Based on technology, the Indian electric vehicle market is segmented by hybrid electric vehicle, plug-in hybrid electric vehicle, battery electric vehicle. In terms of power source, the Indian electric vehicle market is bifurcated into stored electricity, on-board electric, and generator. Two wheelers, passenger cars, commercial vehicles, others are vehicle type segments of Indian electric vehicle market. In terms of power train, Indian electric vehicle market is divided into series hybrid, parallel hybrid, combined hybrid.

Two-wheeler vehicle segment dominated the Indian electric vehicle market in 2021. Passenger cars is anticipated to grow at high CAGR. The government plan to ban diesel and petrol passenger cars will lead to a high sale. Attributed to this passenger cars segment is expected to hold 70 % of the Indian electric vehicles market share by 2029.

Indian Electric Vehicle Market Key Players:

• Mahindra & Mahindra Ltd. • MARUTI SUZUKI INDIAN LIMITED • Toyota Motor Corporation • AB Volvo • Tata Motors • Ashok Leyland • Hero Electric Vehicles Private Limited • Honda Motor Co., Ltd. • Bayerische Motoren Werke AG • Avon Cycles Ltd • Lohia Auto Industries • Electrotherm (Indian) Ltd • Yamaha Golf-Car Company • Club Car, LLC • Speedways Electric • Maini Material Movement Pvt. Ltd. • Auto Power • Carrieall Car Private Limited • Ampere Vehicles Pvt. Ltd. • Tunwal E-Vehicle Indian Pvt. Ltd.

Primary and secondary research is used to determine market leaders, while primary and secondary research are used to compute market revenue. The core study included in-depth interviews with key thought leaders and industry specialists such as experienced front-line personnel, CEOs, and marketing professionals. In-depth interviews with important thought leaders and industry specialists, such as experienced front-line personnel, CEOs, and marketing professionals, were conducted as part of primary research, while secondary research included a study of the major manufacturers' annual and financial reports. Secondary sources are utilized to compute percentage splits, market shares, growth rates, and global market breakdowns, which are then compared to historical data. The players highlighted in this report are as follows:

Get Free inquiry of the Indian Electric Vehicle Market: https://www.maximizemarketresearch.com/inquiry-before-buying/14886

Indian Electric Vehicle Market Regional Analysis:

The study provides an in-depth look at the area industry, covering both qualitative and quantitative data. It provides an overview and forecast of the global Indian Electric Vehicle market by segment. It also provides market size and forecast estimations for five main regions from 2021 to 2027, including North America, Europe, Asia-Pacific, the Middle East & Africa, and South America. The Indian Electric Vehicle market in each area is further segmented into regions and segments. The study examines and anticipates several nations, as well as current trends and opportunities in the area.

COVID-19 Impact Analysis on Indian Electric Vehicle Market:

We thoroughly researched and analyzed the Global Indian Electric Vehicle Market Development Strategy post-COVID-19, by corporate strategy analysis, landscape, type, application, and leading countries, which encompasses and analyses the global Indian Electric Vehicle industry's potential, providing statistical data on market dynamics, growth factors, major challenges, PORTER analysis, and market entry strategy analysis, opportunities, and forecasts. The primary goal of the research is to provide enterprises in the industry with a strategic analysis of the impact of COVID-19. Simultaneously, this research investigated the marketplaces of significant nations and presented their market potential.

To Request Customization of the Indian Electric Vehicle Market Report, Click Here: https://www.maximizemarketresearch.com/request-customization/14886

Key Questions Answered in the Indian Electric Vehicle Market Report are:

What are the most potential high-growth prospects in the worldwide Indian Electric Vehicle industry, broken down by product category, End User, and Region?

Which Indian Electric Vehicle market categories will grow the most rapidly, and why?

Which regions will grow faster, and why?

What are the major factors impacting Indian Electric Vehicle market dynamics? What are the Indian Electric Vehicle market's major drivers and challenges?

What are the business risks and dangers in the Indian Electric Vehicle market?

About Maximize Market Research:

Maximize Market Research is a multifaceted market research and consulting company with professionals from several industries. Some of the industries we cover include medical devices, pharmaceutical manufacturers, science and engineering, electronic components, industrial equipment, technology and communication, cars and automobiles, chemical products and substances, general merchandise, beverages, personal care, and automated systems. To mention a few, we provide market-verified industry estimations, technical trend analysis, crucial market research, strategic advice, competition analysis, production and demand analysis, and client impact studies.

Contact Maximize Market Research:

3rd Floor, Navale IT Park, Phase 2

Pune Banglore Highway, Narhe,

Pune, Maharashtra 411041, India

sales@maximizemarketresearch.com

+91 96071 95908, +91 9607365656

[analyticstraininghub]

Top Artificial Intelligence Startups in 2022

The past few years have seen a rise in the number of artificial intelligence startups to make it big in the competitive market by implicating unique ideas into practice to woo the hearts of billions of customers/users across the globe. A similar trend has been noticed in the application development industry with a huge chunk of the crowd moving toward artificial intelligence ideas.

In today’s competitive times, we see one of the top 10 firms in the industry employing or utilizing a minimum of 5 – 10 ai applications depending on the business. The most popular procedures are fraud analysis, Online Chatbots, and operations optimization. The knowledge and experience of artificial intelligence and machine learning have become major prerequisites for several job profiles across multiple domains. In 2019, the net worth of the international data science market was estimated at $3.93 billion with the Compound Annual Growth rate (CAGR) expected to expand by 26% by 2027. At the forefront are many upcoming artificial intelligence startups which through innovation and technology are solving issues at a pace that was never imagined to be possible.

Below are a few of the top Artificial Intelligence Startups to look forward to in 2022:-

1.  AI.REVERIE

Named as a Gartner Cool vendor for 2020 in AI core technologies uses synthetic data to generate a smarter AI solution from years of training data in minutes. AI.REVERIE fabricates an entirely new class of data at a scale that makes artificial intelligence training affordable, fast and productive. AI.REVERIE enables 10 times the diversity at the 10th of the cost to enhance artificial intelligence execution when there is no room for inaccuracy or expenditure. It also employs 100% accuracy for all the note types to hasten artificial intelligence startups and stay within budget. It is utilized across different industries like retail, smart cities, etc.

2.  ANODOT

With patents in anomaly score, seasonality, and correlation technology. ANODOT helps the firm monitor its business. This artificial intelligence startup screens all the business’s data in real-time for striking rapid discovery of live events that impact the organization’s revenue. This public ai startup offers complete high-definition coverage in real-time. It is one of the most innovative startup idea platforms constructed from the fundamentals to supervise, evaluate, and compare all of the company’s data in real-time whilst radically boosting the execution and dependability of the trade. It is currently being employed in firms like King, pandora, ups, Xandr, and many more.

3. ��Dataik

Dataiku is an artificial intelligence startup that democratizes access to data and enables companies to pave their path to artificial intelligence with a human touch. The ai simulation company helps in drawing insights by linking and filtering the data and exporting the data into a structured table to be later on showcased as an enticing visualization. Post extrapolating ideas the models are put in place to build & apply the insights through machine learning and deploy the model for production purposes. Postproduction of the system helps to monitor and adjust the model through model management based on the feedback from the customers.

4.  Eightfold.ai

The artificial intelligence startup boasts of transforming the firms to hire and retain a diverse global workforce with an artificial intelligence-powered talent intelligent platform. Eighfold.ai enables the firms to transform the company’s greatest asset, which is talent into a competitive advantage. It integrates talent acquisition, management, experience, and diversity all in one to provide a state-of-the-art platform for talent intelligence. The intelligence tool is being employed by some of the most famous leading global enterprises for their talent transformation like Air Asia, Tata, Twilio, Dolby, booking.com, etc.

5.  Frame.ai

Frame AI is an artificial intelligence startup started back in 2016, it is a designer of a cooperative messaging portal devised to enhance business discussions. The portal is designed to act as an early warning and constant monitoring system that makes the customer voice an effective operational tool to inform data-driven customer experience (CX) urgencies. The company uses Natural language understanding and enables firms to pay attention to their customers at a magnitude across the several networks available for customer connections and make them actionable instantly. CX teams use frame.ai to recognize the “why” behind customer feedback so that they can measure what works well and restrict the impact of what does not.

6.  BigML

It is one of a kind artificial intelligence startup designed around an integrated machine learning platform. Designed to make machine learning (ML) simple and accessible to everyone. It aids multiple businesses around the world to fabricate highly automated and data-driven decisions whilst employing big machine learning as a service (MLASS). The firm brings to the table a wide variety of machine learning resources that may be amalgamated together to resolve complicated machine learning tasks. Clients may access these products by using the bigML dashboard which is an intuitive internet-based platform. Apart from its commercial implications, big has also debuted in multiple educational domains through its educational program.

7.  Instreamatic

It is yet another innovative startup idea aimed at enhancing the voice dialogue marketing infrastructure within a firm. Artificial intelligence serves the firm by providing intelligent advertisements with which the clients may speak or interact with. It helps the organization reinvent audio marketing and showcase it in an entirely new prospect. An interactive user experience while interacting with audio marketing prospects makes it easy for people to engage with the company and gives a boost to the brand marketing labors. One out of 10 customers can be transformed into digital revenue whilst employing 1% of the inventory. 4 out of 10 customers have given a response to audio advertisements.

8.  Alation

Yet another ai startup idea was named as the leader in the Gartner MQ for metadata management for the 4th consecutive year. Alation with an artificial intelligence-driven portal fabricated for data discovery, governance, stewardship, analytics, and digital transformation. A few of the many features that make Alation the best in its field are intelligence, collaboration, guided navigation, active governance, and widespread connectivity. This artificial intelligence startup helps drive data analyst productivity, govern data, discover data, accelerate cloud transformations, manage risk and compliance, and many more. Alation enables data analysts less time on finding the data and more time to analyze it. The most effective catalogs created by Alation not only showcase the data available but also expose the governance-related distinctions to the operator.

9.  Viz.ai

An ai startup is a medical imaging firm specializing in applied artificial intelligence in the healthcare sector. The organization employs advanced deep learning protocols to interact with time-sensitive information about patients suffering from stroke directly to the specialist who could utilize the right procedures without wasting precious time to save the patients’ lives. The mission of the company is to change the way healthcare services are employed across the globe, through artificial intelligence and machine learning which promises a better response time and avoids any delays in providing the patient with treatment in the least time-consuming way possible whilst speeding up medical innovation.

10.      Luminovo

A fairly young public ai startup compared to the other applications. Luminoso is a deep learning company that is a data-driven and collaborative electronics manufacturing services, request for quotation (EMS RFQ) software that provides users the breakthrough and a competitive edge in the market. The application enables complete RfQs at lightning-fast speeds through end-to-end quoting in real-time with support from distinctively smart algorithms. The application helps the operator get competitive prices in a consolidated list. The firm aims to present innovations faster for everyone.

History proves that humanity has evolved through time with the aid of innovation, from the onset of innovation in transport to the implications of artificial intelligence in our everyday domain. Innovation has always been the end and means to human evolution. In the present times, innovations in artificial intelligence would be the next big thing and will lead the pole position in the race for human evolution. Artificial intelligence and machine learning have untapped potential in solving some of the biggest crises being faced by humanity in these times and can offer multiple solutions to solve several issues at hand and those still yet to come. Artificial Intelligence startups have paved a path to the future and humanity seems to be following this path in close proximity.

The above-mentioned ai simulation companies are a few of the many ai startups available in the market, which may be the right fit for your business depending on the requirements.

Some useful links are Below:

To know more about Data Science & Data Analytics Certification Courses visit - Best Courses in 2022

Must visit our official youtube channel To FREE Learn about Technical Skills - Analyticstraininghub

[dlpindiacom-blog]

Certificate in Portfolio Management | DLP INDIA

Certificate in Portfolio Management

INTRODUCTION

This course prepares you for jobs such as Portfolio Analyst / Asset Manager in companies such as JP Morgan, ICICI, Blackrock, Fidelity etc.

OBJECTIVE

Learn Financial Planning & Portfolio Management.

Understand the various investment options such as Equity, Debt, Derivatives, and Forex etc.

Calculate returns, yields, allocations, risk using Excel.

Get exposed to portfolio management case studies and best practices taught by leading financial planners with backgrounds from IIM, Reliance Capital, and BSE etc.

Get career assistance by interacting with industry professionals who will guide you with your interviews and job search.

POTENTIAL CAREER

Private Wealth Manager in companies such as ICICI, Citibank, Deutsche Bank.

Portfolio Management Analyst in various Financial Institutions such as Blackrock, JP Morgan, Bank of America, Tata Finance etc.

Market Analyst in Brokerage firms such as Karvy, Edelweiss, India Infoline etc.

CONTENT

INTRODUCTION

Why Financial Planning

Different Asset classes

CONCEPT OF FINANCIAL PLANNING

Client Questionnaire

Assets and Liabilities

Short-term and long-term goals

Time Value of Money (TVM)

Calculating monthly savings to achieve a financial goal

Net Surplus and Savings Ratio

Current Ratio and Liquidity Ratio

Cash Flow Statement

Strategic and Tactical management

MANAGING INVESTMENT RISK

Systematic and Unsystematic Risks

Reinvestment, Interest rate, Purchasing power, Liquidity risk

Exchange rate, Tax rate, Inflation risk

Alpha, Beta

Variance, Standard Deviation

MEASURING INVESTMENT RETURNS

Real return

Annuity

Lump sum, monthly and yearly EMI calculations

Calculating Loan EMI’s using CMPD

INVESTMENT VEHICLES

Small Savings Schemes

Fixed Income and Mutual Fund

Equities – Fundamental and Technical Analysis

Derivatives – Call and Put options

INVESTMENT STRATEGIES

Active and Passive

Asset Allocation – Strategic and Tactical

Covariance

Correlation Coefficient, Beta

Systematic Investment Plans

INSURANCE PLANNING

Basics of Insurance

Characteristics of Insurance

Requirements of Insurance

Endowment, Whole life plans, Money back policy

Pension, Term plan, ULIP, Non-Life, Health, Motor

Human life value

Needs Based Approach

RETIREMENT PLANNING

Inflation

Real Return

Expense and Income method

Defined Benefits and Defined Contribution

Gratuity

PPF

Pension

Annuity

TAX PLANNING

Direct and Indirect Taxes

Tax deductions

Tax exemptions

Heads of Income and Taxable Income

Tax Slabs

FINANCIAL INSTITUTIONS, INSTRUMENTS AND MARKETS

Why Financial Markets

Assets and Liabilities

The Concept of a Balance Sheet

Market Classifications

Market Intermediaries

Bid and Ask Price

Stock Exchanges

Long and Short Positions

Orders

EQUITY CAPITAL MARKETS

Nature of Equity

Book Value and Market Value

Stock Splits and Reverse Splits

Stock Dividends

Voting Rights and Preferred Shares

Convertible Preferred Shares

BONDS AND DEBT CAPITAL MARKETS

Plain Vanilla Debt

Valuation of a Coupon

Par, Discount and Premium Bonds

Zero Coupon and Floating Rate Bonds

Callable and Puttable Bonds

Yields

Rating Agencies

MUTUAL FUNDS AND PENSION FUNDS

Mutual Fund Basics

Open-End and Closed-End Funds

Net Asset Value (NAV)

Loads

Expense Ratio

Categorization of Funds

Exchange Traded Funds

DERIVATIVES OVERVIEW AND PRICING

Forward Versus Futures Contracts

Forward Versus Futures Exchanges

Call and Put Options

Hedgers

Arbitrageurs

The role of futures and options markets

Value at Risk (VAR)

Margins and marking to market

Clearinghouse

Introduction to Options

Exercising Options

Rights and Obligations

Put-Call Parity

Naked Call

Long Put

FOREIGN EXCHANGE

Spot Exchange

Bid and Ask Quotes

Forex Arbitrage

Forward Market

Synthetic Rate

CONTENT MODE

This is an online course taught using recorded videos – In the videos you will see the faculty teaching and building financial models from scratch using Excel.

REQUIREMENTS

There is no such eligibility criteria required – this course assumes you have no background in finance and starts from the basics of finance and slowly builds into advanced topics. You need an internet connection to access the course.

WHAT AM I ABLE TO GET OUT OF THIS COURSE

The biggest advantage of this course – is you get to interact with world class faculty – just by interacting with them you learn a lot – whenever you have any doubts or need guidance – you can schedule a phone call with the faculty.

ADDITIONAL SUPPORT

We provide assistance by connecting you to our expert industry faculty who are investment bankers themselves and have worked for firms like Goldman Sachs, Merrill Lynch and CSFB.

You can interact with them and learn about different jobs in detail and they’ll gladly assist you in helping you re write your resume, give you job tips, tell you about current job vacancies, how to apply, take your mock interview etc.

Fee

Click here

[thedatasciencehyderabad]

High 10 Data Analytics With R Course In Hyderabad

All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject material consultants and are educated by ACTE for providing an superior learning expertise. ACTE conducts improvement periods together with mock interviews, presentation expertise to prepare college students to face a difficult interview situation with ease. Nice expertise.Gopal sirs instructing was superior everyone can perceive topic very simply evaluate from other institute faculties his teaching is very good. We additionally present required placement assistance followed by Certification and proper Big Data Analytics Training. We are able to cultivate expert professionals to lead businesses at Digital Nest by providing best of greatest Big Data Analytics Training. Therefore, we commenced Big Data Analytics coaching for all the info lovers and data aspirants. Data Science is a interdisciplinary, which encompasses plenty of areas including scientific methods, processes, techniques, analytics tools and algorithms. The mock calls and encouraging words from the CEO before my interview have been extremely encouraging. An alumnus of IIT and IIM with over thirteen years of expertise in analytics with trade leaders such as the CitiGroup, Tata Industries, and so on. This course will assist you to perceive industry developments by applying Analytics. It's been a fantastic studying experience that I received it from EduPristine. I pursued Business Analytics course in Hyderabad with Edupristine and the course content is on par with the trade requirements. Some of the colleges from prime notch companies shared their experience on the real time projects which helps us to grasp the protocol of the Business Analytics and MS Excel as properly. Candidates who're willing to pursue a profession in information science and enterprise analytics can apply for this course. In this module, you will study several variations like linear regression, multiple linear, and non-linear regression. Analysis of Variance Analysis of Variance, also known as ANOVA, is a statistical approach utilized in Data Science, which is used to separate noticed variance knowledge into numerous elements for added analysis and tests. This module will teach you the way to identify the significant differences between the means of two or more teams. Key constraints and fundamentals of normalization Key Constraints are used for uniquely figuring out an entity inside its entity set, by which you have a main key, foreign key, etc. Normalization is certainly one of the important concepts in DBMS, which is used for organising knowledge to keep away from data redundancy. In this module, you will learn the way and the place to use all key constraints and normalization fundamentals. We at Digital Nest, Hyderabad will allow you to unleash the power of Big Data Analytics Course by providing methods of studying Big Data beneath Big Data Analytics Training to uncover insights and data and enhance your skill. Imagine the market proportion of massive knowledge if the organizations begin analyzing 100% of the available data. Bottom line, it’s a fantastic option to invest in a profession like Big Data Analytics as a result of it's paramount which builders hone their skills with and be analytical ready and unleash the perks of massive information career pie. Applications Architect, whose common wage is $134,520, tracks purposes conduct and applied in the business to analyze the way they work together with the consumer. Data Architect, whose average salary is $137,630, builds data solutions that can be utilized on a number of platforms. This project begins fully from scratch which involves the gathering of Raw Data from completely different sources and changing the unstructured information to a structured format to apply Machine Learning and NLP fashions. Their profession help and mentorship calls really helped me switch to a profession within the field of Data Science. Here are some

instruments and abilities that may assist you to turn out to be an expert in Data analytics. In India, the most recent technological domains of data science and Business Analytics are observed to attain huge traction very quickly. With the sudden surge in on-line supply and subsequently the availability of a quantity of choices, eating places are struggling to retain their customers. [newline]However, some fast-food chains are ready to elevate the client expertise digitally with out affecting its gross sales negatively. The whole variety of studying hours in the course of the course is 1500 hours. The program allows college students to achieve global competencies and is meticulously designed to incorporate expertise and market developments. The course is very partaking within the type of visitor periods, business connections, and alumni meet. This is an 11-month on-line program that is conducted jointly by UpGrad and the International Institute of Information Technology Bangalore. IIIT colleges and trade specialists train enrolled college students during the course. Students are likely to spend 10 hours per week to fulfill the deadlines for finishing the programs.data science course fees in hyderabad Navigate to Address:

360DigiTMG - Data Analytics, Data Science Course Training Hyderabad 2-56/2/19, 3rd floor,, Vijaya towers, near Meridian school,, Ayyappa Society Rd, Madhapur,, Hyderabad, Telangana 500081 099899 94319

Read more :

Blockchain and Data Science Courses In Bangalore

Data is the new raw material of business

Data Science in today's world

How Data Analytics can improve heart health

How Data Analytics platform are progressing during covid 19

How data analytics supported businesses during the pandemic

How data science can solve agricultural issues

How data science is important in robotics

Why data scientists should know psychology as well

Cyber security improvement with data science

[tatatechnologies]

Industry 4.0 Technologies Enabling Industries to Produce More & Waste Less

At Tata Technologies’ lab, a simplified version of a modern factory setup uses advanced technology to automate quality control during production. As parts move along the conveyor belt, they are automatically inspected for dimensions, shape, defects, color, and overall condition in seconds. This use of technology, including cloud computing, augmented reality/ virtual reality (AR/VR), data science, data lake, and IoT reminds us of how many industries are still working to fully integrate industry 4.0 technologies to maximize production and reduce waste.

Industries have come a long way from mechanical machinery to automation, and now we are moving towards intelligent, algorithm-powered decision-making. We must start with a clear purpose and ask ourselves why we need to embark on the Industry 4.0 adoption journey. Adopting such technologies can increase productivity and reduce waste beyond normal production. Connected, self-aware products can share information about their health, location, usage level, storage condition, and future state predictions. To keep our ecosystem in an improved condition, we must change everything we do in the manufacturing process. Ray Bradbury’s quote about building wings while jumping off a cliff resonates with our approach towards next-generation industrial revolution technologies while balancing socioeconomic and environmental impact.

The three key pillars needed for this shift are following:

Data: managing, dealing with, interpreting the use of data, and Its consequences.

Connectivity: enabling virtual global factory — a network of businesses from multiple regions that can resolve issues of connectivity between companies and for the relationship between devices, plants, products, logistics, customers, and the suppliers.

The Customer (Made-for-Me): The key drivers of Industry 4.0 are products Made-for-Me, customized to the Individual at the mass production level. Driven through the rise and focus on customer centricity. The combination of the customer’s human input and dynamic data analysis and response may mean that in the future a digital ecosystem will be created whereby human decision is augmented through an algorithm.

In today’s world, increasing efficiency and minimizing waste requires a fundamental shift in our approach, with a focus on the interconnection between socioeconomic and environmental systems. The growing human population and linear economic development models have caused global environmental and social problems. To address this, a global consensus has emerged around the need to transition to truly sustainable, equitable, livable, post-fossil carbon societies, replacing linear economies, based on “take-make-dispose” with concepts such as Cleaner Production (CP) and Circular Economy (CE). The central focus is always on improving resource extraction and usage efficiency in production and services, achieved through systematic approaches that optimize eco-efficiency and minimize harmful components released to soil, water, and air within a life-cycle approach. Cleaner Production focuses on prevention and results in reducing natural resource usage and minimizing waste streams, leading to safer and more sustainable societies and avoiding unnecessary costs.

Circular Economy (CE) is an economic system that replaces the “end-of-life” concept with reduce, reuse, recycle, and recover materials from the production/distribution and consumption processes. It replaces consumers with users and products with product-service systems. Smart manufacturing systems built upon the concepts of Industry 4.0 are increasingly important in improving resource efficiency, product life cycles, and closing the loop on end-of-life products. Industry 4.0 technologies, such as cyber-physical systems, smart production controls, big data analytics, and smart energy monitoring systems, are improving environmental performance by better control of manufacturing processes to ensure top-quality product production while reducing risks to workers, consumers, and the environment.

The circular economy differs from linear production processes. In a linear economic system, raw materials are extracted, products are manufactured and sold, consumed and disposed of, leading to shortages of raw materials, emissions, large volumes of waste, and associated environmental problems. In contrast, in a circular economy, products and materials are kept in circulation, leading to fewer primary raw materials used and products retaining their value for longer, generating less waste. Circular Economy is an integrated approach that considers the cycle from raw material extraction through design, production, distribution, and a maximized use phase to recycling. A change of mindset among all stakeholders is needed for products and materials to remain in the loop.

In Industry 4.0, machines use cyberphysical systems with Human-Machine-Interface to record data and use machine learning to analyze past behaviors. These machines communicate with each other using the cloud and are connected to the Internet of Things to collect and analyze real-time data. Big data analytics is a key technology that will drive organisations towards world-class sustainable manufacturing and positively influence environmental performance. However, it’s important to consider the environmental impact of Industry 4.0, as exemplified by the news of a dead Sealion found on the shore due to e-waste deposition. The adoption of advanced technologies must go hand in hand with sustainable practices and a commitment to reducing environmental harm.

Industrial waste can be classified into several categories, including resource waste due to overproduction, waiting time, unused talents, and defects. These can be minimized through the proper use of data analytics and predictive decision systems. E-waste and Lithium batteries are often disposed of without regard for the environment, but this can be tackled with the use of renewable energy. While IoT has helped monitor energy consumption, the resource utilisation of the monitoring systems is not always tracked. Overproduction has been a long-standing issue, and material and motion waste are also problems. However, integrating Industry 4.0 can improve efficiency, reduce energy use, and decrease working hours, resulting in low-cost production and cheaper products for consumers. With the use of big data analytics, Industry 4.0 can also reduce waste and pollution.

Industry 4.0, a set of advanced digital and physical technologies, creates ‘smart’ factories and processes that require building trust. Despite challenges, potential benefits include reduced delivery time, decreased environmental hazards, and increased efficiency. Embracing Industry 4.0 makes companies more competitive and agile, leading to increased profits and a greener future. While Industry 4.0 affects our identity, privacy, ownership, consumption, and work-life balance, there must be a co-existence between technology and humans. Technology should only handle complex manufacturing situations impossible for humans. As these technologies evolve, it’s crucial to use them responsibly and consider their impact on society.

Learn more at www.tatatechnologies.com

About the Author

Anant Saurabh, Associate Vice President, Digital Consulting Services, Tata Technologies

[scentedbeardgarden]

Data Analytics courses

Data Analytics courses

This Micro Masters program is a series of graduate level courses in data science, designed by professors of University of California, San Diego and delivered online via edX. It is a very immersive program that can help to gain critical skills needed to advance as a data scientist. It aims to develop an in-depth understanding of the mathematical and computational tools that form the basis of data science and usage of those tools to make data-driven business decisions. Courses on the Approved List under Interdisciplinary Data Science include subject matter courses and courses that require substantial interpretation of data and report writing. Students completing the Certificate will be presented with an official certificate document and will be free to use this credential on a CV, resume or application for advanced study. The program is designed for data scientists who can manipulate data and gain insights to detect patterns.

Many of these certifications require quite a bit of studying and memorization. However, if you’ve already dedicated yourself to a data scientist career, chances are good that you’ve already learned many of the underlying concepts, and/or worked with software that operates on similar principles. That means companies are paying top dollar for data scientists, and having certifications helps when negotiating for higher compensation.

Finally, to understand statements about the probability of a candidate winning, you will learn about Bayesian modeling. At the end of the course, we will put it all together to recreate a simplified version of an election forecast model and apply it to 2016 election. This course will show you how inference and modeling can be applied to develop the statistical approaches that make polls an effective tool and we'll show you how to do this using R.

A PGP in Business Analytics, however, has courses on basics of statistical modeling, artificial intelligence, machine learning, and text mining related to relevant business problems and used by business managers across different industries. There are different elements to data science courses that vary based on how the individual wishes to apply the knowledge and the career path they would like to go on. We currently have 14 collaborative master’s, and doctoral data science courses that students can choose to attend after successfully completing their PGP data science certification with INSOFE in India.

Data Analytics courses

This course focuses on graphical techniques for data visualization that assist in the extraction of meaning from datasets. This involves the design and development of efficient tools for the exploration of large and often complex information domains. Applications of visualization are broad, including computer science, geography, the social sciences, mathematics, science and medicine, as well as architecture and design. The course will cover all aspects of visualization including fundamental concepts, algorithms, data structures, and the role of human perception. This course gives a basic exposition of the goals and methods of data mining and data warehouses, including concepts, principles, architectures, algorithms, implementations, and applications.

Our industry's real case scenarios based and expert’s led training don’t just expose you with the skills, they expose you to the fundamentals that are required for pursuing a fulfilling professional IT career. The purpose of this certificate is to provide an introduction to the concepts, tools and techniques used in data science, and their relevance within an actuarial context. With increased digital access to data and the development of powerful, but inexpensive, computing, in the 21st century the formulation and evaluation of public policy is more and more reliant on the analysis of data. This certificate seeks to prepare students for careers where data analysis plays a central role. This course is designed to help you learn how deep learning really works and how it can be used on anything.

The Certificate in Data Science provides you with the knowledge to draw conclusions on data reliably and robustly. This course will help you learn how Reinforcement Learning solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end. The USP of this course is that throughout the certification, you will analyze a research question of your choice and summarize your insights. Overall, an excellent project-based course to learn something useful in just 2 hours. The is a great Coursera course to learn how to use Excel to prepare and analyze your data which is a great skill to have for any Data Scientist or Data Analyst in the world. In this project, you will work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country.

A certification might be used to train on some of the latest tools or techniques of data management, or might be used to gain the specific expertise required to advance careers or increase earning potential. This is one of the courses that will probably stay with me for a significant amount of time. The platform provides a unique opportunity to try hands-on simultaneously with the coursework in an almost real-life coding example. Besides, learning to use algebra, tech

system and Git is a good refresher for anyone planning to start or stay in technology. I specifically like the MNIST example and the depth to which it goes in explaining each and every line of code. As demand for data science developer soars, individuals can grasp this excellent opportunity to get certified in data sciences.

A working professional with 3-4 years of work experience or an engineer with good credentials can opt to pursue an executive program in data science such as our PGP programs in data science, business analytics or computational data science. However, if an individual is applying to pursue a more advanced degree in data science, then the academic qualifications would need to match the program level. For instance, a doctoral degree requires that an individual have a master's degree prior to working on a PhD research thesis. Similarly, a program like the DBA also accounts for the professional experience in addition to a master's degree. You can reach us at: ExcelR- Data Science, Data Analytics, Business Analytics Course Training Bangalore Address:49, 1st Cross, 27th Main, Behind Tata Motors, 1st Stage, BTM Layout, Bengaluru, Karnataka 560068 Phone: 096321 56744 Directions: Data Analytics courses Email:enquiry@excelr.com