July 2019
Beginner to intermediate
740 pages
16h 52m
English
Content preview from Hands-On Data Analysis with Pandas
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Summary
This chapter provided many places where you can find datasets across myriad topics. In addition, you also learned about various websites where you can take courses and tutorials, practice machine learning, and improve your Python skills.
It's important to keep your skills sharp and stay curious, so, for whatever interests you, look for data and perform your own analyses. These are things you can put on your GitHub account as your data portfolio.
Thank you for reading this book! I hope you got just as much out of it as these two data analyzing pandas.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.