Braking entry barrier for data science |entry barrier in data science | get into data science
How to remove entry barrier for data science |entry barrier in data science | get into data science
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About Unfold Data science: This channel is designed to help people learn the basics of data science through easy examples. It's intended for anyone who doesn't have prior knowledge of computer programming, statistics, machine learning, or artificial intelligence. The videos are not very technical, so they're easy for viewers from different backgrounds to understand.
Book recommendation for Data Science:
Category 1 - Must Read For Every Data Scientist:
The Elements of Statistical Learning by Trevor Hastie - https://amzn.to/37wMo9H
Python Data Science Handbook - https://amzn.to/31UCScm
Business Statistics By Ken Black - https://amzn.to/2LObAA5
Hands-On Machine Learning with Scikit Learn, Keras, and TensorFlow by Aurelien Geron - https://amzn.to/3gV8sO9
Category 2 - Overall Data Science:
The Art of Data Science By Roger D. Peng - https://amzn.to/2KD75aD
Predictive Analytics By By Eric Siegel - https://amzn.to/3nsQftV
Data Science for Business By Foster Provost - https://amzn.to/3ajN8QZ
Category 3 - Statistics and Mathematics:
Naked Statistics By Charles Wheelan - https://amzn.to/3gXLdmp
Practical Statistics for Data Scientist By Peter Bruce - https://amzn.to/37wL9Y5
Category 4 - Machine Learning:
Introduction to machine learning by Andreas C Muller - https://amzn.to/3oZ3X7T
The Hundred Page Machine Learning Book by Andriy Burkov - https://amzn.to/3pdqCxJ
Category 5 - Programming:
The Pragmatic Programmer by David Thomas - https://amzn.to/2WqWXVj
Clean Code by Robert C. Martin - https://amzn.to/3oYOdlt
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