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power bi course syllabus | power bi certification syllabus Boost your career with our Power BI Certification Course online. Join now for expert training and take the next step in IT success.
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How do I learn MS Power BI?
Why learn about Power BI?
One of the most popular data tools on the planet is Microsoft Power BI. Power BI is used by 50,000 businesses globally to clean, process, model, and visualize their data.
With more than 80,000 available positions on LinkedIn, Power BI adoption has been expanding significantly. Power BI is frequently used by most business analysts and data analysts. You may advance your career and become a data professional by mastering Power BI.
Obtaining a Microsoft Power BI Data Analyst certification is the greatest method to demonstrate your Power BI expertise to companies. By being certified, you may demonstrate to potential employers that you have experience using Power BI tools including the Power Query editor, M language, and DAX.
You must pass the PL-300 test, which is an upgraded version of the DA-100 exam, to become certified. You must have prior working knowledge of every facet of the Power BI interface in order to pass the PL-300 exam.
Additionally, you want to create a project portfolio if you want to stand out in employment interviews. Your ability to perform complicated analysis in the actual world will be demonstrated by your portfolio.
In this article, we'll go over 5 steps to get certified, construct a portfolio, and gain practical experience with Power BI. You'll be able to launch a new data career if you follow these instructions, but it will require work and commitment.
How to become certified in Power BI
Although Power BI has a user-friendly graphical user interface, there is a great deal of complexity hidden beneath it. It's simple to think you understand Power BI after watching videos or reading guides. But you'll need practical skills if you want to ace the test and become job-ready.
Making projects is the best approach to develop practical Power BI abilities. You will gain expertise doing everything from loading data to cleaning it to visualizing it through projects that reflect real-world data analysis.
We'll outline 5 phases that will help you gain practical Power BI abilities by developing projects. You'll be ready for the PL-300 exam and job interviews if you have practical skills.
If you're looking for ways to learn faster, we've It's simple to view videos or read articles, and also worked with Microsoft to create a number of Power BI courses that will provide you with all the knowledge necessary to pass the PL-300 exam.
Learn how to use the interface
Installing Power BI and being comfortable with its user interface is the first step in learning it.
Fortunately, Microsoft offers Power BI as a free download. You must run Power BI in a virtual machine if you don't use Windows because it can only run on that operating system.
After installing Power BI, you should become comfortable with the interface's key components. The following resources can assist you with this:
Hands-on Power BI intro course - in this interactive course, you will learn the fundamentals of Power BI and get hands-on experience.
You can use the Microsoft Power BI quickstart tutorial to get started with Power BI.
Create some visualisations in step two!
The next thing you should do is use clean data sets to create some visualisations in the Report View. You want data sets where modelling and data cleaning aren't necessary much.
You will get practice importing data and producing reports as a result. The following data sets can be used to make visualizations:
Reviews of various wines from throughout the world are included in wine reviews.
NBA player information, including each player's FiveThirtyEight RAPTOR rating
Making some intriguing visualizations from these datasets just requires a minimal amount of data cleansing.
To understand how to create visualizations in Power BI, you may also refer to the following sources:
The interactive course "Hands-on Power BI Visualisation" will show you how to develop and share Power Visualisations for BI
Power BI sample report will help you grasp the key report elements. Microsoft Power BI visualization guide provides an overview of the various Power BI visualizations.
Clean data and the model
You may use Power BI to perform more intricate analysis if you have a handle on creating visualisations. Building data models, using DAX to compute numbers, and using the Power Query Editor to clean up data are all required.
These elements will initially appear to be complicated, but you may learn them one at a time by working on projects.
The following data sets can be used to investigate data cleansing and modeling:
Olympic athletes - from 1896 to the present, this contains data about Olympic athletes. The relationship between the two files noc_regions.csv and olympic_athletes.csv may be modeled. These datasets can be combined with other datasets, such as population data for a particular nation.
Player ratings from the well-known football video game FIFA are included in the FIFA statistics. You can pair these combining a dataset with additional datasets, such as gdp or country population.
Put your reports online.
You need to be able to share your analysis with your team while using Power BI at work. Using the Power BI service, this is accomplished.
You may publish reports you've created in Power BI desktop to the Power BI service and share them with others.
You'll need to sign up for the Power BI service and get comfortable with the interface before you can practice publishing your results. These tools can be useful:
Hands-on Power BI Data Analysis training - you will learn how to manage workspaces and the Power BI service in this hands-on course.
Getting started with the Power BI service - this post will guide you through the process of signing up for the service and doing your initial actions.
You can use workspaces in the Power BI service with the help of the Microsoft guide to workspaces.
Create a portfolio of projects.
You must be able to combine all of your knowledge into an end-to-end workflow once you have a firm grasp of Power BI's key capabilities.
This process entails:
Locating and adding a dataset to Power BI
Using the Power Query Editor to clean up the data
modeling the data and establishing connections
utilizing DAX to calculate any necessary columns
making reports and visualizations
Putting those reports online
To completely comprehend how to use Power BI and all of the features, make sure you go through the entire process with a variety of datasets.
Additionally, you can build a portfolio using the work you produce for these projects. On your Github profile, résumé, or personal website, you can showcase your finished projects as a portfolio to potential employers.
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Power BI certification Microsoft course | Top Ten features In Decomposition Tree
Decomposition tree is AI visualisation in Power BI. We all know that is used for Root Cause Analysis Decomposition Tree is the best visualisation and each has a lot more capability. So, in this session I’m going to talk about top 10 features for decomposition tree.
The features are conditional supporting drill through support. Sort capability, responsive design, cross highlight support, easy access by keyboard shortcuts, improve behaviour of filtering, improved scrolling behaviour, then include exclude feature and pinning the visual as dashboard. So, this is the first feature that has been applied to the decomposition tree.
Now let me go to the second feature. Now decomposition tree supports drill through feature as well. So, when you click on drill through and click on apply drill through it will redirect. Due to the second page like this so that means that decomposition tree is supporting drill through future as well. Now sort capability we can we can apply sort on our decomposition tree visualisation. For that you just need to select your visualisation click on ellipsis and you will be having an option sort by. So based on the different column you can apply sort. I applied this sort on the year column. You can apply sort ascending and descending over here. So, this is the third important feature of decomposition tree. Now let me talk about fourth component that is responsive design. So, this visualisation is responsive so even for the mobile layout it will automatically set. Is position based on the provided space over there. The fifth feature over here is cross highlight support. So, let’s say for an example when you click on any of the bar over here, it will automatically cross highlight the other visualisation over here. So cross highlighting is supported at this moment. Now the 6th feature is improved. Behaviour of filtering
The other visualisation, the 7th feature is easily accessed by keyboard shortcut. So, these are some keyboard supports which is supported at this moment. So, this was the 7th feature. Now let me move over to the eight feature that is improve scrolling behaviour. Now let me move on to the 9th feature. So, nine feature is that when we click on when we right click on everyone, we would be having an option include, exclude and sure as a table option. So, these are the actual options that has been. Very useful for this decomposition tree. And one last thing is that now pinning the visualisation in the dashboard is also supported.
So, in this session we have discussed about the
conditional formatting
drill through support
sort capability
responsive design
Cross highlight support
Easy keyboard access
shortcuts
8. Improved behavior of filtering
9. scrolling
10. Include, Exclude
Microsoft power bi certification course online
With Microsoft Power BI training from Durga Online Trainer, acquire new abilities. You may achieve your goals fast and build confidence with the aid of our hands-on, guided learning approach. Join Microsoft power bi certification course online by Durga Online Trainer with low course fee.
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Web Scraping Services: Transforming Raw Data into Valuable Insights
In today’s fast-paced digital landscape, utilizing web scraping services is crucial for maintaining a competitive edge. Outsource BigData provides AI-enhanced web scraping solutions that facilitate efficient data extraction from extensive online resources. This allows businesses to gather critical insights and make informed decisions. Explore how our sophisticated web scraping services can strengthen your business operations.
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About AIMLEAP Outsource Bigdata is a division of Aimleap. AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering AI-augmented Data Solutions, Data Engineering, Automation, IT Services, and Digital Marketing Services. AIMLEAP has been recognized as a ‘Great Place to Work®’.
With a special focus on AI and automation, we built quite a few AI & ML solutions, AI-driven web scraping solutions, AI-data Labeling, AI-Data-Hub, and Self-serving BI solutions. We started in 2012 and successfully delivered IT & digital transformation projects, automation-driven data solutions, on-demand data, and digital marketing for more than 750 fast-growing companies in the USA, Europe, New Zealand, Australia, copyright; and more.
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Best Data Engineering Courses Online in Chennai
In the ever-evolving field of technology, data engineering has become a cornerstone for businesses looking to leverage data for better decision-making and operational efficiency. As companies generate and manage vast amounts of data daily, the demand for skilled data engineers has skyrocketed. If you’re in Chennai and looking for the best online data engineering courses, Apex Online Training offers comprehensive programs tailored to meet the growing demand in this field.
This article explores why data engineering is an essential skill, what the Apex Online Training courses offer, and why they are the best option for learners in Chennai looking to upskill in this crucial domain.
Why Data Engineering?
Data engineering involves designing, building, and maintaining the architecture that enables organizations to process and analyze large-scale data. It is the backbone of modern data-driven operations, and professionals in this field are responsible for creating data pipelines, handling databases, and ensuring that data flows efficiently through systems. Key responsibilities include:
Building data pipelines: Ensuring seamless data collection, transformation, and loading (ETL).
Database management: Structuring databases for easy access and analysis.
Big data solutions: Working with tools like Hadoop, Spark, and cloud-based platforms to manage large datasets.
Data security: Implementing best practices to protect sensitive information.
With the exponential growth of data, businesses in sectors like finance, healthcare, e-commerce, and IT rely heavily on skilled data engineers. Chennai, being a major tech hub in India, offers a plethora of job opportunities for professionals in this domain.
Why Choose Apex Online Training?
Apex Online Training stands out as one of the best options for data engineering courses in Chennai for several reasons:
1. Comprehensive Curriculum
Apex Online Training's data engineering courses are designed to provide learners with in-depth knowledge and hands-on skills that are directly applicable in real-world scenarios. The curriculum covers a wide range of topics, ensuring that learners have a thorough understanding of both the fundamentals and advanced techniques in data engineering. The course structure includes:
Introduction to Data Engineering: Understanding the role and responsibilities of a data engineer.
Data Warehousing and ETL: Learning about data architecture, data warehousing solutions, and how to build efficient ETL pipelines.
Big Data Technologies: Gaining expertise in Hadoop, Spark, Kafka, and other big data tools.
Cloud Platforms: Exploring cloud-based data solutions like AWS, Azure, and Google Cloud.
SQL and NoSQL Databases: Mastering SQL databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra) for effective data storage and management.
Data Modeling: Learning techniques to structure data for easy analysis and efficient querying.
Python and Programming: Understanding how to use Python, Java, and Scala for automating data processes.
2. Hands-On Learning
At Apex Online Training, theoretical knowledge is paired with practical experience. The program includes hands-on projects where learners work on real-world datasets, allowing them to build data pipelines, design data architectures, and solve practical challenges. The course also offers capstone projects that simulate real-world industry scenarios, ensuring students are job-ready upon completion.
3. Industry-Relevant Tools
The course at Apex Online Training integrates the latest industry tools and technologies. Whether it's using Apache Hadoop for managing big data, working with Spark for real-time processing, or exploring cloud platforms like AWS and Google Cloud, learners get a strong grasp of the tools used by top companies today. Additionally, learners also get exposure to data visualization tools like Tableau and Power BI, which are critical for presenting data insights effectively.
4. Expert Faculty
One of the most significant advantages of choosing Apex Online Training is access to highly experienced instructors. The faculty includes industry professionals and experts with years of experience in data engineering and related fields. Their real-world insights and guidance help students understand the practical challenges of the job, making them more prepared to handle actual data engineering tasks.
6. Job Assistance
Upon course completion, Apex Online Training offers career support to help students find data engineering roles in Chennai or elsewhere. This includes resume-building workshops, mock interviews, and networking opportunities with industry leaders. The job assistance program significantly enhances the employability of graduates, giving them a competitive edge in the job market.
The Importance of Data Engineering in Chennai’s Tech Ecosystem
Chennai is home to a thriving tech industry, with numerous multinational companies, startups, and IT firms operating in the city. The demand for data engineering professionals in sectors like software development, finance, healthcare, and e-commerce is continuously rising. Data engineers in Chennai often work with large datasets, setting up infrastructure for companies to extract actionable insights from their data.
What Makes the Apex Online Data Engineering Course the Best in Chennai?
Holistic Learning Approach: The blend of theoretical knowledge, practical applications, and hands-on projects makes the learning experience at Apex Online Training comprehensive and effective.
Industry Alignment: The curriculum is updated regularly to reflect the latest trends and technologies in data engineering, ensuring that learners are always equipped with the most relevant skills.
Affordable and Accessible: Compared to many other platforms, Apex Online Training offers high-quality education at a reasonable price, making it accessible to a broad audience.
Certification and Recognition: Upon completing the course, learners receive a recognized certification, which boosts their profile and employability in the competitive job market.
How to Get Started with Apex Online Training
If you're looking to start or advance your career in data engineering, enrolling in the Apex Online Training Data Engineering Course is the perfect first step. The program is tailored to meet the needs of both beginners and professionals, ensuring a smooth learning journey.
Enrollment is easy:
Visit the Apex Online Training website.
Explore the Data Engineering course offerings.
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Enroll and start your journey toward becoming a skilled data engineer.
Conclusion
With the growing demand for data engineering professionals in Chennai and beyond, now is the perfect time to acquire the skills needed to thrive in this field. Apex Online Training offers one of the best online data engineering courses, blending industry-relevant knowledge, practical skills, and expert mentorship to help you succeed.
If you're based in Chennai and looking for an online course that fits your schedule, budget, and learning needs, look no further than Apex Online Training. Start your data engineering journey today and step into one of the most exciting and lucrative careers of the digital age!
For More Information
Website: https://www.apexonlinetraining.com
Contact No: +91 85001220107
Email: [email protected]
Address: #402, PSR Prime Towers, Gachibowli, Hyderabad, India
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"SAS vs. Other Data Analysis Tools: Why Choose SAS?"
Choosing SAS over other data analysis tools offers several distinct advantages, making it a preferred choice for many professionals:
Comprehensive Analytics: SAS provides a wide range of statistical and analytical capabilities, from basic descriptive statistics to advanced predictive modelling. Its extensive library of procedures and functions ensures that users can tackle diverse data analysis challenges.
Data Management: SAS excels in handling large datasets and complex data manipulation tasks. Its powerful data management features streamline data cleaning, transformation, and integration, which is crucial for accurate analysis.
Industry Recognition: SAS is widely recognized and used across various industries, including finance, healthcare, and government. Its strong reputation and broad application make it a valuable skill in the job market.
Support and Resources: SAS offers robust support through comprehensive documentation, user communities, and training resources, ensuring users have access to the help they need.
Integration and Scalability: SAS integrates seamlessly with other tools and systems, allowing for scalable solutions that adapt to evolving data needs.
Overall, SAS’s extensive capabilities, industry recognition, and strong support infrastructure make it a top choice for data analysis.
SAS Online Training Institute, Power BI, Python Pune, India (saspowerbisasonlinetraininginstitute.in)
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power bi course curriculum | dax certification Boost your career with our Power BI Certification Course online. Join now for expert training and take the next step in IT success.
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Reasons to Use Power BI
What exactly is BI?
Business intelligence is a technology-driven solution that enables you to analyze data and provide actionable information to assist commercial directors, business directors, and other stakeholders in making knowledgeable business decisions.
Why should I use Power BI?
Pre-built reports and dashboards for SaaS outcomes Power BI enable dashboard changes in real-time. Connects you securely and reliably to your data sources in the Pall Or-Demesne Power BI provides Mongrel configuration, quick deployment, and safe terrain. gives users the option to query data using natural language Frequently updated with the community, and offers points for dashboard visualization
Types of Power BI tools
Now on this Power BI desktop, we will learn about the types of Power BI tools.
Some Important Power BI tools are:
Power BI Desktop
The main authoring and publishing tool for Power BI is Power BI Desktop. It is used by developers and power users to create entirely new models and reports from scratch.
No Charge.
Power BI service
Hosting for Powe Bl data models, reports, and dashboards is provided via an online software as a service (SaaS). Collaboration, sharing, and administration take place in the pall.
Pro license $10 per drug user each month
Power BI Data Gateway
Between the Power BI Service and on-premise data sources including DirectQuery, Import, and Live Query, the Power BI Data Gateway serves as a link. Bl Admin installed it.
.
Power BI Report Server
It can host reports, mobile reports, KPIs, and paginated reports. The IT platoon installs and oversees its management every four months. Drug users have the ability to alter Power BL reports as well as other reports made by the development platoon.
Power BI Mobile Apps
Paginated reports, KPIs, mobile reports, and Power BL Desktop reports can all be hosted on it. The IT platoon installs and oversees its management every four months. Drug users have the ability to alter Power BL reports and other reports produced by the development platoon.
History of Power BI:
Microsoft’s SQL Boy content services platoon’s sovereign and Dhers Netz came up with the idea for Power BI. Its 2010 design, Project Crescent, was created by West Chadic George.
It was whisked in 2011 using SQL Garçon, also known as Mount McKinley. In September 2014, Microsoft launched the first Power BI exercise. On July 24, 2015, the initial version of Power BI was made available. The foundation of it was Excel-based add-ins like Power Query, Pivot, View, and Map.
A Dax Function is what?
The formula expression language DAX may be used with a variety of visualization tools, including Power BI. Because the entire code is contained within a function, it is also known as a functional language. The two data types used in DAX programming formulas are numeric and other.
Advantages of Power BI:
Offers SaaS dashboard updates are provided in real-time through pre-built dashboards and reports. Connection to your data sources in the cloud or on-premise that is secure and reliable Quick deployment, mongrel configuration, and a secure environment are all features of Power BI. employing natural language to dissect data. dashboard visualization point For Excel addicts, new features are continually being added. a wide range of database connectivity options Q&A section posts to the internet. visualizations are integrated with both Python and R rendering. Power Query offers a wide range of choices for battling and cleaning the data. After uploading the data into Power BI, the web service can automatically update the records. Power BI is supported by the superpower of machine learning and artificial intelligence.
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R, SAS, Power BI Online Classes | Decision Tree in R
Decision tree mostly used in forecasting or predictive modelling. It is widely used in the data science for getting the relevant outcome. Mostly used in machine learning, data mining and developing the predictive model. Decision tree is a graph to represent choices and their results in form of a tree. The nodes in the graph represent an event or choice and the edges of the graph represent the decision rules or conditions. This is used in real data analysis so many examples are there /here listed few examples
Predicting the loan—- bad or good credit/also known as risk management system
Predicting the email—– spasm or not spasm
Predicting the cancer——- carcinogenic/not carcinogenic
So many examples are there, for coming to the end point lot of vigorous validation is required for fitting the model coz accuracy is matter. For decision tree required lot of training data’s or observed data. This can also determine by SAS by using the regression/multiple linear/logistic regression model. Even we are also able to determine by power BI visual tools that is known as decomposition tree visual.
The R package “party” is used to create decision trees. We will use the ctree() function to create the decision tree and see its graph.
Decision Tree in R Programming
Decision Trees are a well-known Data Mining approach that employs a tree-like structure to offer outcomes based on input decisions. If you’re looking for a Power BI Online Training course near me, look no further. If so, Durga Online Trainer is the greatest training institute for learning comprehensive Data Science, SAS, and Power bi online training course in india at a very low course charge.
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Which institute is best for data science courses in Pune?
Why Choose Pune for Data Science?
1. Educational Hub
Pune is home to numerous prestigious universities and institutes that offer high-quality education in various fields, including data science course in pune. The city's rich academic culture provides an excellent environment for learning and growth.
2. Tech Industry Presence
Known as the "Oxford of the East," Pune also boasts a significant presence of IT companies and startups. This convergence of academia and industry creates a perfect ecosystem for aspiring data scientists to gain practical experience and industry exposure.
3. Networking Opportunities
With numerous tech meetups, conferences, and seminars happening throughout the year, Pune offers ample opportunities to network with industry professionals, peers, and potential employers. This networking can be invaluable for career growth and job placements.
4. Quality of Life
Compared to other metropolitan cities in India, Pune offers a relatively affordable cost of living, pleasant weather, and a balanced lifestyle. These factors make it an attractive destination for students and professionals alike.
What to Expect from a Data Science Course in Pune
Comprehensive Curriculum
A good data science course in Pune typically covers a broad spectrum of topics to ensure you gain a well-rounded understanding of the field. Here are some of the core areas you can expect to study:
Statistics and Probability: The foundation of data science course in pune, helping you understand data distributions and inferential statistics.
Programming: Mastery of languages such as Python and R, which are essential for data manipulation and analysis.
Data Wrangling: Techniques for cleaning and preprocessing data to make it ready for analysis.
Machine Learning: Algorithms and models that enable predictive analytics and pattern recognition.
Data Visualization: Tools like Tableau and Power BI to present data insights effectively.
Big Data Technologies: Understanding frameworks like Hadoop and Spark for handling large datasets.
Domain-Specific Knowledge: Application of data science course in pune techniques in fields such as finance, healthcare, and e-commerce.
Hands-On Projects
Practical experience is crucial in data science. Courses in Pune often include numerous projects that allow you to apply theoretical knowledge to real-world problems. These projects not only enhance your learning but also build a strong portfolio to showcase to potential employers.
Industry Exposure
Many data science programs in Pune collaborate with local businesses and tech companies to provide internships and industry projects. This exposure helps you gain practical experience and understand the challenges and expectations of the job market.
Expert Faculty
Courses are typically taught by experienced professionals and academicians who bring a wealth of knowledge and industry insights. Learning from such experts ensures that you stay updated with the latest trends and best practices in data science training in pune.
Flexible Learning Options
Recognizing the diverse needs of learners, many institutes in Pune offer flexible learning options, including full-time, part-time, and online courses. This flexibility allows you to balance your studies with other commitments.
Top Institutes Offering Data Science Courses in Pune
Symbiosis Institute of Computer Studies and Research (SICSR)
MIT School of Distance Education
iClass Pune
Skillslash Academy
Technogeeks
Each of these institutes has its unique strengths and offerings, so it's essential to research and choose the one that aligns best with your career goals and learning preferences.
Conclusion
A data science course in Pune can be a significant stepping stone towards a successful and fulfilling career in one of the most dynamic and high-demand fields today. With its blend of top-notch educational institutions, thriving tech industry, and vibrant culture, Pune provides an ideal environment to learn, grow, and launch your career in data science. Whether you are a fresh graduate or a professional looking to upskill, investing in a data science course in Pune is a decision that can open doors to numerous opportunities and set you on a path to success."Looking for data science classes in Pune? Discover the best data science course in Pune with placement opportunities and competitive data science course fees in Pune. Find the best institute for data science in Pune offering online data science training in Pune. Explore top-rated data science classes Pune has to offer for comprehensive learning. | datasciencecourseinpune
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Why Catalog Processing Services Are Essential for E-Commerce Success?
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About AIMLEAP Outsource Bigdata is a division of Aimleap. AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering AI-augmented Data Solutions, Data Engineering, Automation, IT Services, and Digital Marketing Services. AIMLEAP has been recognized as a ‘Great Place to Work®’. With a special focus on AI and automation, we built quite a few AI & ML solutions, AI-driven web scraping solutions, AI-data Labeling, AI-Data-Hub, and Self-serving BI solutions. We started in 2012 and successfully delivered IT & digital transformation projects, automation-driven data solutions, on-demand data, and digital marketing for more than 750 fast-growing companies in the USA, Europe, New Zealand, Australia, Canada; and more. -An ISO 9001:2015 and ISO/IEC 27001:2013 certified -Served 750+ customers -11+ Years of industry experience -98% client retention -Great Place to Work® certified -Global delivery centers in the USA, Canada, India & Australia Our Data Solutions APISCRAPY: AI driven web scraping & workflow automation platform APISCRAPY is an AI driven web scraping and automation platform that converts any web data into ready-to-use data. The platform is capable to extract data from websites, process data, automate workflows, classify data and integrate ready to consume data into database or deliver data in any desired format. AI-Labeler: AI augmented annotation & labeling solution AI-Labeler is an AI augmented data annotation platform that combines the power of artificial intelligence with in-person involvement to label, annotate and classify data, and allowing faster development of robust and accurate models. AI-Data-Hub: On-demand data for building AI products & services On-demand AI data hub for curated data, pre-annotated data, pre-classified data, and allowing enterprises to obtain easily and efficiently, and exploit high-quality data for training and developing AI models. PRICESCRAPY: AI enabled real-time pricing solution An AI and automation driven price solution that provides real time price monitoring, pricing analytics, and dynamic pricing for companies across the world. APIKART: AI driven data API solution hub APIKART is a data API hub that allows businesses and developers to access and integrate large volume of data from various sources through APIs. It is a data solution hub for accessing data through APIs, allowing companies to leverage data, and integrate APIs into their systems and applications. Locations: USA: 1-30235 14656 Canada: +1 4378 370 063 India: +91 810 527 1615 Australia: +61 402 576 615 Email: [email protected]
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MASTERING DATA ANALYTICS: WHY ADVANCED TRAINING PROGRAMS ARE ESSENTIAL FOR INDIAN PROFESSIONALS IN 2024
INTRODUCTION TO DATA ANALYTICS
Having said that, it becomes important for us to carefully analyze this data and use it in the real world. This is where Data analytics comes into picture. Data analytics is the practice of extracting meaningful insights from large data sets, and it plays a crucial role in the decision-making process. No matter what industry you cater to, be it finance, be it marketing or be it healthcare or any field, understanding data analytics can give you a competitive edge in your career
IMPORTANCE OF ADVANCED TRAINING PROGRAMS FOR DATA ANALYTICS PROFESSIONALS
You can start with having a basic knowledge of data analytics but it is very important to continuously upgrade yourselves and get honed with the latest skills and trends in order to stay relevant in this rapidly evolving field. Advanced training programs can be of a good use here given that they provide professionals with the opportunity to deepen their understanding of complex data analytics concepts and acquire specialized and trending skills. The program is designed to offer a comprehensive curriculum, covering advanced statistical methods, data visualization techniques, predictive modeling, and machine learning algorithms. By enrolling in such programs, you can enhance your expertise and become a sought-after data analytics professional
CURRENT STATE OF DATA ANALYTICS IN INDIA
However, the supply for adequately trained individuals is not keeping pace with this growing surge. This phenomenon has led to the creation of what we call a skill gap, making it challenging for organizations to find skilled data analytics individuals. Hence it becomes very important for Indian professionals to equip themselves with the necessary skills in order to stand at an advantageous position in this field with abundance of job opportunities
THE NEED FOR ADVANCED DATA ANALYTICS SKILLS IN 2024
Professionals possessing advanced data analytics skills will definitely benefit the emergence of job opportunities in this fast-paced industry. Investing in advanced training programs today can promise future-proof careers to all the Indian professionals and help them stand out in this fast paced industry.
TOP DATA ANALYTICS TRAINING PROGRAMS IN NAGPUR
Nagpur is emerging as the new hub of IT industry in India. There are a bunch of training programs that offer top-notch data analytics programs for professionals and students. These carefully handcrafted programs equip individuals with the skills and knowledge required to excel in the data analytics field. One such program is the “Data Analytics Training in Nagpur” offered by Sapalogy Training institute. This is a comprehensive program which covers all the aspects of data alaytics, including data processing, machine learning algorithms, and data visualization techniques. The course is taught by industry experts and provides hands-on experience with real-world data sets.
ONLINE DATA ANALYTICS COURSES AND CERTIFICATIONS
Apart from the traditional classroom-based programs, online data analytics courses and certifications are gaining popularity in recent years. These programs provide flexibility to help you learn at your own pace right from the comfort of your home. These can be helpful for professionals who want to shift their domains but don’t have time for the offline classroom programs. Some of these courses are “IBM Data Analytics Certification” and “Data Analytics Certification”. These certifications can enhance your resume and demonstrate your commitment to continuous learning in the field of data analytics.
DATA VISUALIZATION AND PREDICTIVE ANALYTICS TRAINING
Several training programs focus specifically on data visualization techniques. Professionals get to learn creating compelling visualizations using tools like Tableau and Power BI. Additionally, predictive analytics training programs help professionals leverage statistical models and algorithms to create accurate predictions and forecasts based on historical data
MACHINE LEARNING FOR DATA ANALYTICS
Machine learning is revolutionizing the field of data analytics. It enables computers to learn from data and make predictions or take actions without being explicitly programmed. To excel in data analytics, professionals must have a solid understanding of machine learning algorithms and techniques. Training programs like “Python Data Analytics Course” provide a comprehensive introduction to machine learning concepts and teach professionals how to implement machine learning algorithms using Python. These programs help professionals leverage the power of machine learning to extract valuable insights from complex data sets.
SQL AND PYTHON FOR ANALYTICS
Proficiency in programming languages like SQL and Python is important for data analytics professionals. SQL is a standard language for managing and manipulating relational databases, while Python is a versatile language widely used in data analytics and machine learning. Training programs focusing on SQL and Python for analytics help professionals learn how to query databases, perform data manipulation and analysis, and create predictive models using these languages. By acquiring expertise in SQL and Python, professionals can efficiently work with data and unlock its potential.
CHOOSING THE RIGHT DATA ANALYTICS TRAINING INSTITUTE
It is important to choose a reputed training institute with expert faculties and well-curated curriculum in addition with hands-on experience provided. Features like placement assistance and alumni network to ensure that you receive adequate support in launching a career in data analytics. Research thoroughly, read reviews, and reach out to current or former students to make an informed decision.
THE FUTURE OF DATA ANALYTICS IN INDIA
Apart from the traditional domains like finance and marketing, sectors like healthcare, agriculture and smart cities are also benefitting form the applications of data analytics. Government’s increased focus on digital transformation and initiatives like “Make in India,” has pumped the demand for skilled data analysts. By investing in advanced training programs today, Indian professionals can position themselves for a successful and rewarding career in the future.
CONCLUSION
Mastering data analytics can be the best step for Indian professionals to strive in today’s data-driven world. Individuals need to enroll in advanced training programs to acquire specialized skills and knowledge necessary to excel in the field. Whether you choose classroom-based programs or online courses, investing in your data analytics skills will pay off in the long run. Keeping in mind the growing demand for data analytics professionals, those equipped with advanced skills will be well positioned in order to secure rewarding job opportunities. Remember that “Data is the future”. Unlock the potential of your career and start your training journey today.
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power bi online training and certification Boost your career with our Power BI Certification Course online. Join now for expert training and take the next step in IT success.
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SAS Training with placement in India | Difference Between where and If statement in SAS
Where and If statements both are same only used for data mining and cleaning but few key differences are there which are arranged in tabular manner.
S. No
Where statement
If statement
1
Used for data Mining
Used for data Mining
2.
Cannot create new variable in SAS
Can create new variable in SAS
3.
Can apply in proc steps directly in SAS
Can not apply in proc steps in SAS
4
Can apply in operators like between
Can not apply in operators like between
5.
Can not apply in multiple statements
Can apply in multiple statements in SAS so many times we will write if statements
6
Only filtered observations read from filtered data
All observations are read from input data
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