on 05 October 20
A mixture of books about data, analysis, statistics and R programming, they’re all very popular and are great for early-stage data scientists and will get your mental juices flowing with ideas about how to tackle your data for when you get back to your desk.
R Programming for Data Science
R Programming for Data Science is about the fundamentals of R programming. Starting with the basics of R, you will learn how to manipulate datasets, write functions, and how to debug and optimise code.
The book is offered on the Pay-What-You-Want model, including free, but there is a minimum donation level if you want the accompanying datasets, R code and lecture videos.
Download URL: https://leanpub.com/rprogramming
The Elements of Data Analytic Style
This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks.
The Elements of Data Analytic Style, currently being enjoyed by almost 60,000 readers, is a concise introduction to all stages of data analysis, is a good starting point for data analysis newcomers and is also useful as a frequent look up tool to check that you’re on the right track.
Download URL: https://leanpub.com/datastyle
Career Progression/Transition into Data Science?
Regression Models for Data Science in R
You will need a basic understanding of statistical concepts and R programming, and the book is intended for practicing Data Scientists but as long as you tick these boxes you should be fine. At the moment its only 90% complete, but this book has still attracted over 18,000 readers and gives a brief, but rigorous, treatment of regression models from a practical perspective.
After reading the book you should be able to perform multivariate regressions and understand their interpretations.
Download URL: https://leanpub.com/regmods
This book provides an excellent introduction to statistical analysis and model thinking as well as tools to challenge yourself along the way (quizes, tests, real world examples), and quickly accelerates from introduction to more complex statistics. There is also a website that provides some sample data to use in R and includes useful code snippets.
It is a great book to learn how to use reason and logic about data, probability and statistical tools.
Download URL: https://leanpub.com/openintro-statistics
Do you know what skills employers look for in Data Analysts & Data Scientists?
Data Analysis for the Life Sciences
This is a book that is different from many statistical textbooks as it focuses less on mathematics and more on using a computer to perform data analysis. Instead of explaining the mathematics and theory, and then showing examples, the authors start with a practical data-related life science challenge. This book also includes the computer code that provides a solution to the problem and helps illustrate the concepts behind the solution giving you a better intuition for the concepts, the mathematics, and the theory.
This is a good introduction to statistics at the college level, and is particularly good for those entering the life sciences.
Download URL: https://leanpub.com/dataanalysisforthelifesciences
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