#Data Science Certifications

[techinfotrends]

Take your data science career to the next level with USDSI’s industry relevant certification program. Whether you're a students, professionals, and career switchers, our program offers practical skills and knowledge with minimal time commitment. https://bit.ly/3GP8Onr

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Data Science Job Market : Current Trends and Future Opportunities

The data science job market is thriving, driven by the explosive growth of data and the increasing reliance on data-driven decision-making across industries. As organizations continue to recognize the value of data, the demand for data scientists has surged, creating a wealth of opportunities for professionals in this field.

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Which certification is best for data science?

The demand for skilled data scientists is high as the profession is expanding and changing quickly. Which certification is suitable for you is totally up to you and has to be decided by you only if you are considering a career in data science.

There are numerous certifications in data science, each of which has advantages and disadvantages. Depending on your particular objectives and level of experience, you can choose the ideal certification for you.

The following are some of the things to take into account when selecting a data science certification:

1. What do you want to do with a data science certification in terms of your career? Would you like to work as a data scientist, analyst, or engineer? Your chosen certification should be in    line with your professional objectives.

2. Your level of experience: It is one of the most important factors to be kept in mind before choosing any data science certification. If you are a beginner in this domain, you should    choose a curriculum that will teach from the scratch or else you will be lost in the middle. So, before entering into the school, check the curriculum properly and try to speak with    their counselling team. It's a must. 

3. The price: A few thousands to several lakhs can be spent on data science qualifications. It's crucial to pick a certification that you can afford. Moreover the pricing of such courses    also depends on several factors such as area/location of the institute, its brand value, age, professor's quality, its curriculum, pay after placement facility, etc. So it's also    advisable for the folks to look in those aspects also.

4. The reputation of the organization: There are many different organizations that offer data science certifications. It is important to choose a certification from a reputable organization    that has a good track record.

Here are some of the top data science certifications:

1. Data science certification by Nearlearn

Nearlearn is one of the leading institutions based in Bangalore in terms of providing data science and machine learning training to various professionals coming from various backgrounds. It offers both online and offline training. It has its branches in Bangalore and Pune. Its curriculum and pricing are flexible and adjustable. So, you can have a look into their curriculum and make decisions wisely. 

Website - https://nearlearn.com/

2. IBM Data Science Professional Certificate

Provider: IBM

Duration: Approximately 2 months @10 hours a week (self-paced)

Overview: IBM's Data Science Professional Certificate is an excellent starting point for beginners. It covers key topics such as data analysis, data visualization, machine learning, and Python programming. This certification is delivered via Coursera and is recognized by industry leaders.

Who should pursue it? Individuals new to data science who want to build a strong foundation in the field.

link - https://www.coursera.org/professional-certificates/ibm-data-science

3.  Microsoft Certified: Azure Data Scientist Associate

Provider: Microsoft

Duration: Varies (self-paced)

Cost: For exam fees info. check their website 

Overview: This certification is designed for data scientists who work with Azure Machine Learning and Azure Databricks. It tests your ability to prepare data, train machine learning models, evaluate model performance, and deploy models to production. Microsoft certifications are highly respected in the industry.

Who should pursue it? Data scientists who have an intermediate level knowledge of data science and statistics.

link - https://www.coursera.org/professional-certificates/azure-data-scientist?

4. Certified Analytics Professional (CAP)

Provider: INFORMS

Duration: Self-paced (varies)

Cost: Kindly visit the below mentioned link

Overview: The CAP certification is for experienced analytics professionals. It covers a wide range of topics, including data exploration, model building, and model deployment. CAP is known for its rigorous examination process and is recognized globally.

Who should pursue it? Experienced professionals who want to have a more grasp on their analytics expertise.

link - https://www.certifiedanalytics.org/

5. Google Data Analytics Professional Certificate

Provider: Google

Duration: Approximately 6 months (self-paced)

Cost: Varies by region

Overview: This certificate program, offered on Coursera, covers essential data analysis skills using Google tools like Google Sheets, SQL, data analytics with R programming and data visualisation with Tableau. It's beginner-friendly and provides hands-on experience with real datasets.

Who should pursue it? Beginners looking to kickstart their data analytics career with Google tools.

link - https://www.coursera.org/professional-certificates/google-data-analytics#courses

6. Data Science Certification from Harvard University

Provider: IIML via Harvard University (edX) 

Duration: Approximately 9 to 18 months (part-time)

Cost: Varies, check from the link

Overview: Harvard's Data Science Certification online program goes deep into data analysis, probability, inference, and statistical modeling. It's a deep dive program that covers both theory and practical application. Completing courses from Harvard is a prestigious accomplishment.

Who should pursue it? Individuals seeking a comprehensive and prestigious data science certification from a renowned institution.

link - https://iiml.emeritus.org/iiml-executive-programme-in-data-science/index.php?

7. SAS Certified Data Scientist

Provider: SAS

Duration: Self-paced (varies)

Overview: The SAS certification tests your skills in data manipulation, feature engineering, and advanced modelling techniques using SAS software. SAS is widely used in industries such as healthcare, finance, and government.

Who should pursue it? Data scientists working or aspiring to work with SAS software.

link - https://www.sas.com/cs_cz/certification/credentials/advanced-analytics/data-scientist.html

8. AWS Certified Machine Learning – Specialty

Provider: Amazon Web Services (AWS)

Duration: Self-paced (varies)

Cost: Exam fees typically range from $150 to $300 USD per attempt.

Overview: This certification focuses on machine learning on the AWS platform. It covers topics like data preparation, model training, tuning, and deployment using AWS services. As cloud computing becomes increasingly important in data science, this certification is valuable.

Who should pursue it? Data scientists interested in machine learning with AWS.

link - https://aws.amazon.com/certification/certified-machine-learning-specialty/

9. Cloudera Certified Data Analyst

Provider: Cloudera

Duration: Self-paced (varies)

Overview: Cloudera's certification focuses on big data analytics using Hadoop and related technologies. It tests your skills in data transformation, data analysis, and visualization using Cloudera's tools.

Who should pursue it? Data analysts and data scientists working with big data technologies.

link - https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-data-analyst.html

10. Data Science for Executives (DSE) by UC Berkeley

Provider: UC Berkeley (edX)

Duration: Approximately 12 weeks (part-time)

Cost: Varies, but around $4900 USD

Overview: The DSE program from UC Berkeley targets professionals who want to understand data science from a leadership perspective. It covers data-driven decision-making, machine learning, and data ethics.

Who should pursue it? Executives, managers, and decision-makers who want to grasp the fundamentals of data science.

link - https://executive.berkeley.edu/programs/data-science-leaders

11. Tableau Desktop Specialist and Tableau Desktop Certified Associate

Provider: Tableau

Duration: Self-paced (varies)

Cost: Exam fees typically range from $100 to $250 USD per attempt for each certification.

Overview: Tableau offers two certifications, starting with the Tableau Desktop Specialist for beginners and the Tableau Desktop Certified Associate for those with more experience. These certifications validate your Tableau skills, a crucial tool for data visualisation.

Who should pursue it? Data professionals looking to master Tableau for data visualisation.

link - https://www.tableau.com/learn/certification

NOTE - There are a lot more organizations available who are providing data science and visualisations related courses and certifications. So, it's up to you to decide which one to choose.

Conclusion: Choosing the Right Certification

The best data science certification for you depends on your background, career goals, and the specific skills you want to acquire. Consider your current knowledge level, the technologies you work with, and the industries you're interested in. Additionally, evaluate the reputation of the certification provider and whether the certification aligns with your long-term career aspirations. So, choose the certification that best aligns with your interests.

[geekersmagazine]

Data Science Certification Guide - Everything you need to know

With the massive growth of data and the increasing importance of data-driven decision-making in businesses, the demand for skilled data scientists has skyrocketed making data science the sexiest job of the 21st century. In response to this demand, many certifications have emerged in the market that promises to validate the skills and knowledge of data science professionals. However, not all…

[usdsi]

10 Best Data Science Programming Languages to Know In 2023 | USDSI™

Programming languages are an important part of data science jobs and data science professionals must learn some of the top programming languages for better applications.

https://bit.ly/3Fv3R3e

[quartzskies]

im in the process of learning R, and i was wondering if there’s anything else i should try to familiarize myself with in preparation for finishing my bachelors / a career in STEM in general. like, any specific coding languages / programs, specific software, etc?

i know i want to get further education past my bachelors - whether that’s a masters or phd or whatever - but that’ll definitely be further in the future. I’d just like to get a head start on things if i can

[iabac3435]

The future of artificial intelligence promises transformative advancements in automation, decision-making, and personalization across industries, with potential challenges in ethics, privacy, and job displacement, necessitating careful consideration to ensure responsible and equitable AI integration.

To know more Visit: www.iabac.org

[courseswebs]

Top Data Science Courses With Certificate ⬇️

1-IBM Data Science Professional Certificate

https://imp.i384100.net/YgYndj

2-Google Data Analytics Professional Certificate

https://imp.i384100.net/x9jAxk

3-Google Data Analytics Professional Certificate

https://imp.i384100.net/x9jAxk

4-Introduction to Data Science Specialization

https://imp.i384100.net/Ryqyry

5-Applied Data Science with Python Specialization

https://imp.i384100.net/GjkEPn

6-Google Advanced Data Analytics Professional Certificate

https://imp.i384100.net/1r5E3B

7-What is Data Science?

https://imp.i384100.net/JzmRaN

8-Data Science Specialization

https://imp.i384100.net/BX9BmB

9-Python for Data Science, AI & Development

https://imp.i384100.net/g1ARWv

10-Foundations of Data Science

https://imp.i384100.net/nL2Wza

11-IBM Data Analyst Professional Certificate

https://imp.i384100.net/jWGKxa

12-Machine Learning Specialization

https://imp.i384100.net/k0gLAV

[techinfotrends]

Data science has become the hottest career opportunity of today’s time. It is essentially indispensable for empowering yourself with the most trusted data science certifications. https://bit.ly/3Q1MjQ2

[mitsde123]

Data Science Certifications: Are They Worth It?

The world is drowning in data. Every click, swipe, and search adds to a vast ocean of information. But this data is only valuable if we can extract insights from it. That’s where data science comes in.

What is data science? In simple terms, it’s the art and science of collecting, analyzing, and interpreting data to solve problems and make informed decisions. It’s a rapidly growing field, and demand for skilled data scientists is skyrocketing. 

In fact, the Bureau of Labor Statistics projects a 35.2% job growth for data scientists between 2022 and 2032. This surge in demand has many aspiring professionals wondering:

[samvavlabs]

Data Analyst Roadmap for 2024!

Cracking the Data Analyst Roadmap for 2024! Kick off your journey by mastering and delving into Python for data manipulation magic, and dazzle stakeholders with insights using PowerBi or Tableau. Don't forget, that SQL proficiency and hands-on projects refine your skillset, but never overlook the importance of effective communication and problem-solving. Are you checking off these milestones on your path to success? 📌 For more details, visit our website: https://www.samvavlabs.com  . . . #DataAnalyst2024 #CareerGrowth #roadmap #DataAnalyst #samvavlabs #roadmap2024 #dataanalystroadmap #datavisualization

[corpusdigitalhub]

Mastering Data Analytics: Your Path to Success Starts at Corpus Digital Hub

Corpus Digital Hub is more than just a training institute—it's a hub of knowledge, innovation, and opportunity. Our mission is simple: to empower individuals with the skills and expertise needed to thrive in the fast-paced world of data analytics. Located in the vibrant city of Calicut, our institute serves as a gateway to endless possibilities and exciting career opportunities.

A Comprehensive Approach to Learning

At Corpus Digital Hub, we believe that education is the key to unlocking human potential. That's why we offer a comprehensive curriculum that covers a wide range of topics, from basic data analysis techniques to advanced machine learning algorithms. Our goal is to provide students with the tools and knowledge they need to succeed in today's competitive job market.

Building Strong Foundations

Success in data analytics begins with a strong foundation. That's why our courses are designed to provide students with a solid understanding of core concepts and principles. Whether you're new to the field or a seasoned professional, our curriculum is tailored to meet your unique needs and aspirations.

Hands-On Experience

Theory is important, but nothing beats hands-on experience. That's why we place a strong emphasis on practical learning at Corpus Digital Hub. From day one, students have the opportunity to work on real-world projects and gain valuable experience that will set them apart in the job market.

A Supportive Learning Environment

At Corpus Digital Hub, we believe that learning is a collaborative effort. That's why we foster a supportive and inclusive learning environment where students feel empowered to ask questions, share ideas, and explore new concepts. Our experienced faculty members are dedicated to helping students succeed and are always available to provide guidance and support.

Cultivating Future Leaders

Our ultimate goal at Corpus Digital Hub is to cultivate the next generation of leaders in data analytics. Through our rigorous curriculum, hands-on approach, and supportive learning environment, we provide students with the tools and confidence they need to excel in their careers and make a positive impact on the world.

Join Us on the Journey

Are you ready to take the next step towards a brighter future? Whether you're a recent graduate, a mid-career professional, or someone looking to make a career change, Corpus Digital Hub welcomes you with open arms. Join us on the journey to mastery in data analytics and unlock your full potential.

Contact Us Today

Ready to get started? Contact Corpus Digital Hub to learn more about our programs, admissions process, and scholarship opportunities. Your journey towards success starts here!

Stay connected with Corpus Digital Hub for the latest news, updates, and success stories from our vibrant community of learners and educators. Together, we'll shape the future of data analytics and make a difference in the world!

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TOP 10 courses that have generally been in high demand in 2024-

Data Science and Machine Learning: Skills in data analysis, machine learning, and artificial intelligence are highly sought after in various industries.

Cybersecurity: With the increasing frequency of cyber threats, cybersecurity skills are crucial to protect sensitive information.

Cloud Computing: As businesses transition to cloud-based solutions, professionals with expertise in cloud computing, like AWS or Azure, are in high demand.

Digital Marketing: In the age of online businesses, digital marketing skills, including SEO, social media marketing, and content marketing, are highly valued.

Programming and Software Development: Proficiency in programming languages and software development skills continue to be in high demand across industries.

Healthcare and Nursing: Courses related to healthcare and nursing, especially those addressing specific needs like telemedicine, have seen increased demand.

Project Management: Project management skills are crucial in various sectors, and certifications like PMP (Project Management Professional) are highly valued.

Artificial Intelligence (AI) and Robotics: AI and robotics courses are sought after as businesses explore automation and intelligent technologies.

Blockchain Technology: With applications beyond cryptocurrencies, blockchain technology courses are gaining popularity in various sectors, including finance and supply chain.

Environmental Science and Sustainability: Courses focusing on environmental sustainability and green technologies are increasingly relevant in addressing global challenges.

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