Start your journey into spark ml 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
Machine Learning by Andrew Ng
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BeginnerMachine Learning Crash Course - Google Developers
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BeginnerLearn Machine Learning in 3 Months - Siraj Raval
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
The original Stanford ML course taught by Andrew Ng
Clear and simple explanations of machine learning algorithms. Understand the math and intuition behind ML with Josh Starmer.
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Learn How I'd learn ML in 2025 (if I could start over)
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A complete curriculum to learn machine learning in 3 months. Includes math, algorithms, and projects.
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Start your journey into spark ml 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 60 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.