The TRUTH About Learning Data Science

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In this video, I'm going to talk about all these "learn data science in 2 months / 3 months / 6 months" articles, courses, and videos that you see out there. I want to talk about the reality of learning data science and what it's more realistically going to look like. You want to think of it as a marathon, not a sprint. Learning is not a singular act. It's a mentality, not a process. And that's what will set you up best for the most fulfilling and lucrative experience with data science possible.

Coursera statistics courses:
Duke: https://www.coursera.org/specializati...
John Hopkins: https://www.coursera.org/specializati...
University of Amsterdam: https://www.coursera.org/specializati...

An Introduction to Statistical Learning: https://amzn.to/3k8SaRN
The Guru's Guide to Transact SQL: https://amzn.to/2IgvGko
R for data science: https://amzn.to/3je8kK6
Python data science book: https://amzn.to/3cDXKcE
Linear algebra: https://amzn.to/2HEj4U4
Tufte book (data visualization): https://amzn.to/3kVrR2o
Few book (data visualization): https://amzn.to/3n2qTTU
The Hundred-Page Machine Learning Book: https://amzn.to/3563PfK
Applied Predictive Modeling: https://amzn.to/38lbf0M
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: https://amzn.to/3eAh1N2
Approaching (Almost) Any Machine Learning Problem: https://amzn.to/36gSjh0
Deep Learning: https://amzn.to/3p83vVW

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