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Python for Data Science For Dummies is a 496-page paperback designed for beginners eager to learn Python programming and foundational statistics for data science. It includes practical guidance on using Google Colab for cloud-based coding and covers essential topics like data visualization, probability, regression models, and hypothesis testing. Highly rated and affordable, it bridges programming with real-world data analysis applications.
| Best Sellers Rank | #246,585 in Books ( See Top 100 in Books ) #401 in Web Programming #602 in Computer Programming Languages #23,139 in Higher & Continuing Education Textbooks |
| Customer Reviews | 4.5 out of 5 stars 112 Reviews |
N**A
This book is a must-have for every student of data science
This book is a must-have for every student of data science
D**A
Excellent Book and Price
Excellent book. Lots of examples and good explanation in relation to the codes and results. However, it is necessary to explain the inputs when using database from the libraries (e.g. load_digits, boston_data) when they are presented at first time. The chapter of clustering very confuse, it is necessary to start with small examples. The book should have colours and better quality of paper, but for the price is fair enough.
T**W
Slowly working through the book. I am impressed with what I have seen thus far.
The books written by John Mueller et al are very easy to read and are great primers for budding Python Data Analytics/Data Scientists. I look forward to finishing this, my second book from John on Python Programming and will look forward to any future titles that he writes on this subject.
G**Y
Perfect gift for my son
Loved by my son, good service
J**.
verbal spew
The first 60 pages are among the worst I've ever encountered, bouncing randomly among topics, so that you often don't know what you're reading without a guess. The writing is verbose, saying very little, paragraph after paragraph. To shrink it down, they used a tiny font and minimal line spacing, making it difficult to read or to highlight the few useful bits. The list of failings goes on and on. This is a horrible book.
Trustpilot
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