In-depth and simple data analysis: Not in-depth enough. Suitable for technical and business personnel to read as an entry to statistics

Deep and simple data analysis is one of the "deep and simple" series of American o'reilly press. This series is characterized by a lot of thoughts on how to make readers more comfortable to read and remember more content in the book. Although the book is thick, there are many illustrations. Illustrations and texts are often mixed together without obvious boundaries. It is really easy to read. It is easier to remember the content of a book than a book with many texts and images. Because the number of pictures is small and the reading speed is fast, it can also make people feel more fulfilled. However, this series of books are relatively expensive.

I think the main content of this book is an entry to statistics. Anyone who does not know the technology but has used Excel can check it. I introduced the basic concepts of statistics and Bayesian statistics, histograms, regression, and errors. I used Excel and a dedicated statistical tool R for demonstration. R is recommended by the author. This tool is more flexible in statistics applications than excel. It is an open-source software and relatedCommunityWe are constantly adding features for this software.

If you are willing to continue learning statistics, the author recommends the same series of head first statistics, that is, "in-depth introduction to Statistics". However, there is no Chinese translation yet.