I Analyzed 1000 Data Science Books on Amazon: Here's What I Found πŸ€“

From the creator

🌟 Master Python and Build Awesome AI Projects πŸ‘‰ https://python-course-earlybird.framer.website/?&utm_source=ds1000bk πŸ”₯ Receive top data science/ AI insights in your inbox πŸ‘‰ https://thu-vu.ck.page/49c5ee08f6 ---------------- πŸ”— Deepnote πŸ‘‰ https://deepnote.com/ πŸ“š This Deepnote project: https://deepnote.com/workspace/thu-70b82642-3f7e-4ef4-8203-d96ba4531278/project/Data-science-book-analysis-95de68e6-99de-4ef6-b3ae-d76602c45655 🌐 The published article: https://deepnote.com/@thu/Data-science-book-analysis-95de68e6-99de-4ef6-b3ae-d76602c45655 ---------------- Hi data nerds! πŸ‘‹ 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 πŸ˜„. πŸ”‘ 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 πŸ‘©πŸ»β€πŸ’» COURSES & RESOURCES β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ“– Google Advanced Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/anK9zZ πŸ“– Google Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/15v9y6 πŸ“– Learn SQL Basics for Data Science Specialization πŸ‘‰ https://imp.i384100.net/AovPnJ πŸ“– Excel Skills for Business πŸ‘‰ https://coursera.pxf.io/doPaoy πŸ“– Machine Learning Specialization πŸ‘‰ https://imp.i384100.net/RyjykN πŸ“– Data Visualization with Tableau Specialization πŸ‘‰https://imp.i384100.net/n15XWR πŸ“– Deep Learning Specialization πŸ‘‰ https://imp.i384100.net/zavBA0 πŸ“– Mathematics for Machine Learning and Data Science Specialization πŸ‘‰ https://imp.i384100.net/LXK0gj πŸ“– Applied Data Science with Python πŸ‘‰ https://imp.i384100.net/gbxOqv πŸ™‹πŸ»β€β™€οΈ LET'S CONNECT! β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ€“ Join my Discord server: https://discord.gg/SK7ZC5XhcS πŸ“© Newsletter: https://thu-vu.ck.page/profile ✍ Medium: https://medium.com/@vuthihienthu.ueb πŸ”— All links: https://linktr.ee/thuvuanalytics As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on the links above. By using the links you help support this channel at no cost for you. #datascience #machinelearning #DataAnalysis #Datanerd #ThuVu #dataanalytics

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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional Β£25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

β—† Fri 13 Nov 2026 β—† KOKO, London
Makers residency 4th edition
Live event
Makers residency 4th edition
Fri 13 Nov 2026

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