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Top Data Science Courses for Every Skill Level
LinkedIn Learning offers expert-led Data Science training for all familiarity levels, from beginners to advanced professionals.
Top Data Science Courses for Every Skill Level
LinkedIn Learning offers expert-led Data Science training for all familiarity levels, from beginners to advanced professionals.
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.
Learning Data Science
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.
Beginner
Learning Data Analytics: 1 Foundations with Robin Hunt (Certificate Eligible)
“In this course, we'll start digging into data analysis. We'll talk about the roles and skills needed for data analysts. You'll learn to identify data, deal with data you don't have, and work with data of different types. You'll learn about joins and techniques to clean and transform data and the truth about data. We'll also talk about some best practices as well as productivity-enhancing shortcuts for data tools you may work with already.”
Intermediate
Excel Data Visualization: Mastering 20+ Charts and Graphs with Chris Dutton (Certificate Eligible)
Excel: Creating a Basic Dashboard with Curt Frye (Certificate Eligible)
“In terms of competencies generally required of data scientists, you should have a STEM degree with some form of advanced mathematics. You will also need to take fundamental statistics. Data scientists also need to know how to code. So, they should know how to code in languages like Python, R, and SQL. They could also know how to use Spark, and they should know how to use coding to implement machine learning algorithms.”
Advanced
Python: Working with Predictive Analytics with Isil Berkun (Certificate Eligible)
Business Intelligence for Consultants with Joshua Rischin (Certificate Eligible)
Business Analytics: Forecasting with Exponential Smoothing with Conrad Carlberg (Certificate Eligible)
“As the amount of data available continues to grow, the use of Business Intelligence in the corporate world is more relevant today than ever before. So what does BI actually do? Well, the insights gathered from business intelligence can help answer key questions such as: ‘what's driving my business today?’ ‘What are the emerging trends that business leaders need to be aware of?’ ‘What are the reasons for these emerging trends?”
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.
Beginner
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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