4 Career & Community
4.1 Build Your Career in Data Science
Not R-specific but a great read!
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager.
https://www.manning.com/books/build-a-career-in-data-science
4.2 Getting Started in Data Science
This book is for anyone intersted in Data Science, but is unsure where to start. Cut through the noise and learn my best tips for understanding Machine Learning with insight from my 4 years of industry experience. Learn the math as it applies to real-life data projects and get an understanding of fairness, ethics, and accounability in AI.
(Not R focussed but looks good so I’m adding it - Oscar :) )
Paid ~$30
4.3 Twitter for R Programmers
The R community is very active on Twitter. You can learn a lot about the language, about new approaches to problems, make friends and even land a job or next contract. It’s a real-time pulse of the R community.What can you gain from becoming active on Twitter? This book will talk about the benefits and it will show you how to use Twitter.
4.4 Twitter for Scientists
Not R-specific, but as many R users are also Scientists this book can really help.
4.5 Conversations On Data Science
Roger Peng and Hilary Parker
This book collects many of their discussions from the podcast Not So Standard Deviations and distills them into a readable format.
Pay what you want for the ebook, minimum $0.00
4.6 Executive Data Science
Brian Caffo, Roger D. Peng, and Jeffrey Leek
A Guide to Training and Managing the Best Data Scientists. Learn what you need to know to begin assembling and leading a data science enterprise.
Pay what you want for the PDF, minimum $0.00
4.7 Essays on Data Analysis
Roger Peng
This book draws a complete picture of the data analysis process, filling out many details that are missing from previous presentations. It presents a new perspective on what makes for a successful data analysis and how the quality of data analyses can be judged.
Pay what you want for the ebook, minimum $0.00