Скачать или смотреть Best Math & Statistics Courses for Data Science (Don’t Start Without These!)

Struggling with math and statistics for data science? You’re not alone. These subjects are the foundation of machine learning and data science — without them, it’s like building a house without a foundation.

In this video, I’ll share a step-by-step roadmap and the best online courses to learn:

-Linear Algebra & Calculus (for understanding ML algorithms)
-Probability & Statistics (for uncertainty, hypothesis testing, and real-world data problems)
-Applied Math with Python/R (to connect theory to practice)


Here’s what we’ll cover:
👉 Imperial College London’s Mathematics for Machine Learning (Coursera)
👉 DeepLearning.AI’s Mathematics for ML & Data Science (Coursera)
👉 MIT OpenCourseWare (Linear Algebra & Calculus by Gilbert Strang)
👉 3Blue1Brown’s YouTube series (visual, intuitive math)
👉 Stanford Online Probability & Statistics (edX)
👉 Khan Academy’s Statistics & Probability playlist
👉 HarvardX – Statistics and R (edX)
👉 University of Michigan – Statistics with Python (Coursera)
👉 University of Pittsburgh – Mathematical Foundations for Data Science (Coursera)

By following this roadmap, you’ll move from beginner to advanced in a structured way and gain the confidence to tackle real data science and machine learning projects.

📌 Pro Tip: Don’t try to finish all courses at once. Pick one for math basics, one for statistics, and one applied course — that’s enough to build a rock-solid foundation.

✨ Resources Mentioned in the Video (Links Below)

🔗 Imperial College London – Mathematics for Machine Learning- https://imp.i384100.net/xLaWjO
🔗 DeepLearning.AI – Mathematics for ML & DS- https://imp.i384100.net/553VEL
🔗 MIT OCW – Linear Algebra & Calculus- https://ocw.mit.edu/courses/18-06-lin...
🔗 3Blue1Brown – YouTube Playlists-    • Essence of linear algebra  
🔗 Stanford Online – Probability & Statistics- https://edx.sjv.io/bOJxKm
🔗 Khan Academy – Statistics & Probability- https://www.khanacademy.org/math/stat...
🔗 HarvardX – Statistics and R- https://edx.sjv.io/7aq2VV
🔗 Michigan – Statistics with Python- https://imp.i384100.net/rarZyd
🔗 University of Pittsburgh – Mathematical Foundations for Data Science- https://imp.i384100.net/APe9QJ

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