5 Best Data Science Certification Courses to Rage in 2024

As per the Emerging Jobs Report of LinkedIn, the data science market is estimated to expand to $230.80 billion by 2026. IT professionals who dream of building a long-lasting and secure career should consider moving into the data science sector. Unlock your potential in data science and drive innovation with the top data science certification courses providing knowledge and valuable insights into different data science concepts.

1 Google Data Analytics Professional Certificate

It is a beginner-level certification course that provides professional-level training and an overview of data analytics. It is a series of 8 courses that help in getting ready for a new career in the data analytics sector. Candidates will develop skills for associate data analysts, junior data analysts, database administrators, etc.

This data science certification focuses on five key areas – data analyst skills, the lifecycle of data, analytical thinking, tools used by data analysts, and steps of data analysis. Alongside hands-on projects and expert training, you will complete a case study to show your new skill set.

Pace: Self-paced

Offered By: Google

Duration: 6 months (10 hours a week)

Fee: 7-day free trial then $49 monthly (overall less than US $300)

2.United States Data Science Institute (USDSI®)

USDSI® is a trusted name in credentialing and learning in data science courses. It offers the best data science certification courses for beginners and experienced professionals, and all learners. All courses are self-paced which means you can learn at your own pace.

Moreover, you can get your updated program self-study kit worth hundreds of US dollars for FREE. The kit comprises personalized study books, HD quality self-paced videos, a sharable digital badge, real-world workshop-based eLearning, and eLearning with Practice Code.

Here are some data science courses offered by USDSI®.

• Certified Data Science Professional (CDSP™)

This program is designed for professionals with 0-2 years of experience, undergraduate students, and candidates interested in developing and improving their technical skills with practices in data sources and data analysis.

Duration: 4-25 weeks (8-10 hours per week)

Fee: US $687

• Certified Lead Data Scientist (CLDS™)

This is the right data science certification course if you want to advance your career ten or more times as a data scientist. It will help you show your commitment to stay updated with practice-based data science skills.

The curriculum is designed to meet the demands of aspiring data scientists. The curriculum includes big data and data science, key methods in data science, data analysis lifecycle and workflow, advanced big data analytics, and more.

Duration: 4-25 weeks (8-10 hours per week)

Fee: US $781

• Certified Senior Data Scientist (CSDS™)

This learning program is designed for data scientists to improve their technical leadership skills and potential. This certification helps candidates expand their role by being involved in decision-making at the organizational scale. No programming skills are essential to apply for this certification.

Duration: 4-25 weeks (8-10 hours per week)

Fee: US $885

3.Data Science R Basics

As the name suggests, this professional certificate program in data science teaches the basics of R programming. Candidates will learn ways to wrangle, analyze, and visualize data. It will cover the functions and data types of R. Updated browser is suggested to allow programming in a browser-based interface. The demand for clued-up data science practitioners is increasing rapidly. This course helps candidates resolve real-world data analysis problems.

Pace: Self-paced

Offered By: Harvard University

Duration: 8 weeks (1-2 hours per week)

Fee: Free (a verified certificate for $219)

4.Executive Data Science Specialization

This specialization is a series of 5 courses - A Crash Course in Data Science, Data Science in Real Life, building a Data Science Team, Executive Data Science Capstone, and Managing Data Analysis. After completing this course, candidates will gain skills in data analysis, data science, leadership, communication, and data management.

It helps in learning the ways data science projects can be recruited, planned, executed, and implemented. Candidates will learn the complete data science pipeline to comprehend the workflow and develop a skilled data science team.

Pace: Self-paced

Offered By: John Hopkins University

Duration: 9 weeks (6 hours a week)

Fee: Enroll for free (paid courses available)

5.Professional Program in Data Analysis

Develop data collection, processing, analysis, and interpretation skills to get logical insights by attending the Professional Program in Data Analysis certification course. The curriculum includes three courses for 6-semester units. Candidates can choose any three of courses to complete the program. All courses are compulsory for a letter grade.

To get the award of completion, candidates must keep an overall minimum 2.5 grade point average with C or better grades in each course. The overall coursework needs to be completed within 3 years. Attending this course will help you learn how to use statistics, big data, ML, and data mining to create new strategies in different fields.

Pace: Part-Time, Full Time

Offered By: UC Berkeley Global

Duration: 1-6 semester

Fee: US $2,900

Conclusion

Data science has found applications in numerous industries for decision-making, predictive analytics, and business intelligence. There are many different jobs under the data science umbrella to select from. So, enroll in the most suitable certification course and develop the in-demand industry skills to build or advance your data science career. Take a course that covers an updated curriculum, and provides valuable certificates and immense learning flexibility.