Leek J. The Elements of Data Analytic Style: A guide for people who want to analyze data

Leanpub book, 2015. — 98 p. — ASIN B00U6D80YY.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.The data analytic question
Tidying the data
Checking the data
Exploratory analysis
Statistical modeling and inference
Prediction and machine learning
Causality
Written analyses
Creating figure
Presenting data
Reproducibility
A few matters of form
The data analysis checklist
Additional resources