Start your journey into retail analytics with foundational concepts and hands-on exercises designed for newcomers.
Start now · step 1 of 7
Basic statistics helpful; will be taught
Some coding experience; Python or R preferred
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IntermediateCS50s Introduction to Programming with Python
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IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
CS50s Introduction to Programming with Python
IBM Data Science Professional Certificate
Google's fast-paced, practical introduction to machine learning. A self-study guide for aspiring machine learning practitioners.
Clear and simple explanations of machine learning algorithms. Understand the math and intuition behind ML with Josh Starmer.
An introductory course on learning analytics that covers fundamental theories, processes, and different types of educational data. Students will gain experience with educational data sets and the R programming language.
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Start your journey into retail analytics with foundational concepts and hands-on exercises designed for newcomers.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Perform exploratory data analysis (EDA) on complex datasets; Clean and preprocess data for analysis; Create compelling data visualizations.
About 640 hours of study across 7 courses — and you can go at your own pace.
It's pitched at beginner level — a solid starting point if you're new to the topic.
7 curated courses, sequenced from foundational to advanced.
The courses in this path can be started for free.
Enroll in this path to track your progress and stay motivated.