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Why Data Science?

According to the US Bureau of Labor Statistics, employment of data scientists is projected to grow by 35% between 2022 and 2032, which is faster than almost any other profession. 

There’s a clear reason why: data has never been more important to business decision-making than it is right now, and it’s only going to grow more important as businesses take in ever larger amounts of data. 

Across virtually every industry, businesses that can gather, parse, organize, and analyze data most effectively will experience the greatest success in the next decade. To earn this success, they’ll need expert data scientists.

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Learning Data Science

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Data science can be a notoriously challenging discipline to enter and keep pace with, precisely because it’s evolving so quickly.

LinkedIn Learning features over 600 expert-taught courses on data science, covering all topics related to the discipline from its basic theory and methodology to its most advanced contemporary applications. 

Whatever your employees’ familiarity with data science, LinkedIn Learning can help develop them into the skilled data scientists you’ll need to succeed now and in the future.


Top Data Science Courses by Skill Level

Thousands of developing data scientists use LinkedIn Learning’s courses to build their skills every day. These are the five most popular LinkedIn Learning courses among data science students at each skill level.

Courses marked “certificate eligible” are backed by a professional organization such as the National Association of State Boards of Accountancy. Upon completing the course, learners can take an exam on the subject matter prepared by the certifying organization. If they pass the exam, learners will earn an official certification displayable on their LinkedIn profile and can redeem credits from the certifying authority.

Data Science Learning Paths for Every Skill Level

LinkedIn Learning Paths are selections of courses curated to help learners develop a specific skill. Most Learning Paths contain courses at multiple skill levels, starting with beginner skill levels to build learner’s foundational knowledge before introducing them to more advanced concepts. Therefore, these Learning Paths are categorized by the difficulty level of their most advanced course.

These are the three most popular Learning Paths taken by Data Science students on LinkedIn Learning now.

Reach Your Data Science Training Goals

With the help of LinkedIn Learning, you can equip your employees with everything they need to develop data science skills, no matter their previous experience level. 

For true data science beginners, start with the Hands-On Data Science Learning Path to build a solid foundation and earn the first data science certification.

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