Note: This learning path will be updated on April 1, 2026. To earn your certificate of completion without interruption, complete the path before that date. If you can't, additional courses may be required.
Are you a data analyst wanting to pivot to a new career focus as a data scientist? This learning path provides valuable help in transitioning your skills. You'll take existing skills in coding languages like Python, SQL, DAX, and R, and then learn how to use them in an expanded context. You'll also develop power skills in core tools like Tableau, Spark, and KNIME, and get a strong grounding in statistics skills.
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Learn SQL, R, Python, Tableau, and Power BI in data science.
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Master data mining, wrangling, and ETL with Python and SQL.
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Use machine learning to extract insights and make decisions.
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Build statistical knowledge and solve data science problems.
Courses
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1
Intermediate SQL for Data Scientists4h 4mIntermediate SQL for Data Scientists
By: Dan Sullivan
Get hands-on experience using SQL for common data science tasks, including exploratory data analysis, data transformation, complex querying, and aggregations.
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2
Data Wrangling in R2h 51mData Wrangling in R
By: Mike Chapple
Learn about the principles of tidy data and discover how to import, transform, clean, and wrangle data using the R programming language.
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3
Python Functions for Data Science (2020)1h 30mPython Functions for Data Science (2020)
By: Lavanya Vijayan
Save time, and make your code more readable and reusable, by learning the most powerful Python functions for data science.
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4
Data Science Foundations: Data Mining in Python3h 3mData Science Foundations: Data Mining in Python
By: Barton Poulson
Learn the key concepts and skills behind one of the most important elements of data science: data mining.
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5
Basics of Data Visualization Analysis1h 27mBasics of Data Visualization Analysis
By: Madecraft
Learn the fundamentals of data visualization, including how to use common charts and graphs across a variety of different types of datasets.
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6
Statistics Foundations 1: The Basics36mStatistics 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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7
Statistics Foundations 2: Probability1h 15mStatistics 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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8
Statistics Foundations 3: Using Data Sets1h 44mStatistics Foundations 3: Using Data Sets
By: Eddie Davila
Go beyond the basics of statistics with practical, example-based lessons to learn how data sets and statistics are used in the real world.
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9
Statistics Foundations 4: Advanced Topics1h 34mStatistics Foundations 4: Advanced Topics
By: Eddie Davila
Complete your mastery of statistics with this advanced concepts course on <i>t</i>-distribution, degrees of freedom, regression testing, and ANOVA.
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10
Complete Guide to Tableau for Data Scientists10h 29mComplete Guide to Tableau for Data Scientists
By: Matt Francis
Take your Tableau skills to the next level. Learn how to format and filter messy data, use Tableau for data analysis, and visualize data with maps and dashboards.
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11
Power BI Data Modeling with DAX (2022)1h 22mPower BI Data Modeling with DAX (2022)
By: Gini von Courter
Take your data modeling skills to the next level. Learn how to leverage Data Analysis Expressions (DAX) to create formulas for Power BI that extend your data model.
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12
Actionable Insights and Business Data in Practice1h 33mActionable Insights and Business Data in Practice
By: Barton Poulson
Learn how to start interpreting data-based findings and making high-value, data-driven suggestions to solve problems for stakeholders.
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13
ETL in Python and SQL1h 20mETL in Python and SQL
By: Jennifer Ebe
Gain the knowledge you need to build data pipelines in a data-driven world.
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14
Introduction to Machine Learning with KNIME1h 59mIntroduction to Machine Learning with KNIME
By: Keith McCormick
Learn KNIME, a popular open-source platform for predictive analytics and machine learning. Discover how to use KNIME for merging and aggregation, modeling, data scoring, and more.
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15
Hands-On Data Science using SQL, Tableau, Python, and Spark1h 13mHands-On Data Science using SQL, Tableau, Python, and Spark
By: Ben Sullins
Get practical, hands-on data science experience using SQL, Tableau, Python, and Spark.
Instructors
Dan Sullivan
Data Architect, Data Engineer, Cloud Architect
Mike Chapple
Teaching Professor at the University of Notre Dame; Cybersecurity Author, Trainer and Certification Expert
Lavanya Vijayan
Madecraft
Barton Poulson
data from a human perspective • datalab.cc founder • teacher + consultant • professor of psychological science • 43 linkedin learning courses + 46 translations • 2.6 million learners • linkedin top voice
Franz Buscha
Professor of Economics at the University of Westminster, Associate Head of College - Research and Knowledge Exchange of the Westminster Business School
Eddie Davila
Teaching and Entertaining: In-Person, Online, In Print
Matt Francis
Senior Software Developer at Wellcome Trust Sanger Institute
Gini von Courter
[in]structor empowering people and teams. Find my SharePoint, Power Platform, and Microsoft 365 courses on LinkedIn Learning.
Jennifer Ebe
Data Engineer | LinkedIn [In]structor
Keith McCormick
Creating Value with Profitable Machine Learning Deployment | TEDx and Keynote Speaker | 7x Book Author | AI Strategist & Educator | 1M Learners on LinkedIn Learning | Exploring the Limits of Applied AI
Ben Sullins
Content Creator Focused on EVs, Batteries, and Renewables