If your job includes data analysis to any degree and you're familiar with basic data analysis concepts and applications (including popular tools), consider taking your skills to the next level. Tune into this learning path to get the data skills you need to grow or switch your career.
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Discover the analytics and data mining power in tools like Tableau and R
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Advance your skills in data visualization and storytelling
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Build a solid core of statistics and business intelligence techniques
Courses
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1
Data Literacy: Exploring and Describing Data5h 14mData Literacy: Exploring and Describing Data
By: Barton Poulson
Learn the fundamentals of data fluency and how data can help you make better decisions.
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2
Statistics Foundations 1: The Basics33mStatistics Foundations 1: The Basics
By: Eddie Davila
Learn to understand your data using basics of statistics, such as defining the middle, mean, and median of your data set; measuring the standard deviation; and finding outliers.
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3
Statistics Foundations 2: Probability1h 10mStatistics Foundations 2: Probability
By: Eddie Davila
Learn to understand your data in beginner-friendly lessons, using probability. Topics include permutations, percentiles, how to use probability trees, and much more.
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4
Using Tableau to Discover Powerful Business Insights1h 58mUsing Tableau to Discover Powerful Business Insights
By: John David Ariansen
Learn how to use Tableau to create, export, and share data visualizations that can offer you powerful business insights.
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5
Python Data Analysis2h 30mPython Data Analysis
By: Michele Vallisneri
Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together to analyze data sets large and small.
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6
Data Science Foundations: Data Mining in R3h 51mData Science Foundations: Data Mining in R
By: Barton Poulson
Do you work in data analysis? Learn how to mine data using R. Topics include dimensionality reduction, clustering, classification, association analysis, and more.
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7
SQL Tips and Tricks for Data Science59mSQL Tips and Tricks for Data Science
By: Ben Sullins
Get Ben Sullins's 12 must-have SQL techniques for data science pros—engineers, DevOps, data miners, programmers, and other systems specialists.
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8
SQL Hands-On Practice: Solve Business Problems2h 8mSQL Hands-On Practice: Solve Business Problems
By: Jess Ramos
Practice solving real business problems in SQL in this hands-on, interactive course with coding challenges in CoderPad.
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9
Power BI Data Visualization and Dashboard Tips, Tricks, & Techniques1h 59mPower BI Data Visualization and Dashboard Tips, Tricks, & Techniques
By: Emma Saunders
Learn how to use Power BI, with a focus on how to design reports and charts that communicate data well.
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10
Picking the Right Chart for Your Data1h 21mPicking the Right Chart for Your Data
By: Bill Shander
Discover how to think more strategically about your data. Learn how to pick the best visual display for the type of data you're working with—and your ultimate communication goals.
Instructors
Barton Poulson
#DataIsForDoing • datalab.cc founder • UVU professor • 39x LinkedIn Learning author • 2.2 million learners • LinkedIn Top Voice
Eddie Davila
Teaching and Entertaining: In-person, Online, In Print
John David Ariansen
Business Analyst | Professor | Podcast Host | Career Advisor
Madecraft
Michele Vallisneri
Senior Research Scientist at JPL (NASA's Jet Propulsion Laboratory)
Ben Sullins
EV Advocate / Content Creator
Jess Ramos
Sr. Data Analyst @ Crunchbase | Founder @ Big Data Energy⚡️ | LinkedIn [in]structor | Empowering career growth in data | Breaking industry stereotypes
Emma Saunders
Product owner, Swiss Re
Bill Shander
Keynote speaker, workshop leader, LinkedIn Learning Instructor focused on information design, data storytelling & visualization, and creativity