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In today's video, we share the top 7 books to kickstart or advance your data science journey.
From the fundamentals of programming to the ethical considerations in data practices, these books are meticulously selected to boost both your theoretical knowledge and practical skills. ?
Featured Books:
Data Science from Scratch by Joel Grus - Learn how to build data science tools from the ground up with Python.
https://bit.ly/3Fw4BHO
Python for Data Analysis by Wes McKinney - Master data manipulation with the creator of pandas.
https://bit.ly/41PdnYL
Essential Math for Data Science by Hadrien Jean - Conquer the math necessary for data science, visualized through Python.
https://bit.ly/3DKMkG3
Naked Statistics by Charles Wheelan - Grasp statistical concepts through engaging, real-world examples.
https://bit.ly/4io5ErI
Fundamentals of Data Visualization by Claus O. Wilke - Discover how to create impactful and correct data visualizations.
https://bit.ly/4iuWU33
Build a Career in Data Science by Robinson and Nolis - Navigate the non-technical challenges of a data science career.
https://bit.ly/3XUcBZh
Data Science in Context by Spector, Wiggins, Wing, and Norvig - Explore the ethical implications of data science practices.
https://amzn.to/4iQ68GR
For a deeper look and more great book recommendations, read the full article here: https://bit.ly/4iPcBll
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