I Analyzed 1000 Data Science Books on Amazon: Here's What I Found 🤓

🔗 Deepnote 👉 https://deepnote.com/
📚 This Deepnote project:
https://deepnote.com/workspace/thu-70...
🌐 The published article:
https://deepnote.com/@thu/Data-scienc...

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Hi data nerds! 👋 In today’s video, I’ll be walking you through a project to analyse data science books using Deepnote. I think this is a fun project to work on to both sharpen our skills on multiple levels, and to get to know more about data science books available in the market. We’ll be doing exploratory data analysis, clustering book titles to find out the common themes, and finally scraping Amazon reviews and summarising the reviews for each book.

I hope you enjoy this video 😄.

🔑 TIMESTAMPS
================================
0:00 - Intro
0:28 - Which analyses we will be doing
1:46 - Intro to Deepnote
4:41 - Dataset
5:27 - LEVEL 1 - Exploratory data analysis
8:24 - LEVEL 2 - Clustering book titles
17:19 - LEVEL 3 - Amazon review scraping & Review summarization
21:44 - Publish notebook to article and app

👩🏻‍💻 COURSES & RESOURCES
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📖 Google Advanced Data Analytics Certificate 👉 https://imp.i384100.net/anK9zZ
📖 Google Data Analytics Certificate 👉 https://imp.i384100.net/15v9y6
📖 Learn SQL Basics for Data Science Specialization 👉 https://imp.i384100.net/AovPnJ
📖 Excel Skills for Business 👉 https://coursera.pxf.io/doPaoy
📖 Machine Learning Specialization 👉 https://imp.i384100.net/RyjykN
📖 Data Visualization with Tableau Specialization 👉https://imp.i384100.net/n15XWR
📖 Deep Learning Specialization 👉 https://imp.i384100.net/zavBA0
📖 Mathematics for Machine Learning and Data Science Specialization 👉 https://imp.i384100.net/LXK0gj
📖 Applied Data Science with Python 👉 https://imp.i384100.net/gbxOqv

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