This book represents a fundamental rethinking of a calculus based first course in probability and statistics. We offer a breadth first approach, where the essentials of probability and statistics can be taught in one semester. The statistical programming language R plays a central role throughout the text through simulations, data wrangling, visualizations and statistical procedures. Data sets from a variety of sources, including many from recent, open source scientific articles, are used in examples and exercises. Demonstrations of important facts are given through simulations, with some formal mathematical proofs as well.Read more.
The techniques and tools covered in Probability, Statistics, and Data - A Fresh Approach Using R are most similar to the requirements found in Data Scientist job advertisements.