The Elements of Data Analytic Style, by Jeff Leek
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The Elements of Data Analytic Style, by Jeff Leek
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Data analysis is at least as much art as it is science. This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is based in part on the authors blog posts, lecture materials, and tutorials. The author is one of the co-developers of the Johns Hopkins Specialization in Data Science the largest data science program in the world that has enrolled more than 1.76 million people. The book is useful as a companion to introductory courses in data science or data analysis. It is also a useful reference tool for people tasked with reading and critiquing data analyses. It is based on the authors popular open-source guides available through his Github account (https://github.com/jtleek). The paper is also available through Leanpub (https://leanpub.com/datastyle), if the book is purchased on that platform you are entitled to lifetime free updates.
The Elements of Data Analytic Style, by Jeff Leek- Amazon Sales Rank: #213416 in eBooks
- Published on: 2015-03-01
- Released on: 2015-03-01
- Format: Kindle eBook
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Most helpful customer reviews
2 of 2 people found the following review helpful. A must have, for every new data scientist By Gayatri Very helpful book if you want to do a perfect (as in the opposite of sloppy, clumsy and half baked) and great job as a new data scientist. A must have.The book is well written and the essence of the Data Science Specialization on Coursera is very beautifully covered.I wish I could have a hard copy of the book on my desk always...And I also wish Amazon could enable 'sharing' the book title on LinkedIn too :)
2 of 3 people found the following review helpful. Don't send messy data to you colleagues, it makes you look bad. By wazel This is a great book that every STEM student, grad assistant, working scientist, data manager, etc. should read. It is succinct, but could go into a bit more detail (reason for 4 stars).My one suggestion: Page 14, the author states you should always "Include information about the variables (including units!)".I would add about 5 or 6 more exclamation points to really drive that statement home. i.e. (including units!!!!!)I can't tell you how many times I've received datasets (even from tenured professors at prestigious universities) that did not have units for all variables.
0 of 0 people found the following review helpful. but is a good basic grounding By Richard A. Jordan Concise but light introduction to Data Analytics. Can't expect to be an expert after reading this, but is a good basic grounding.
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