This book provides an introductory, practice-oriented text on data science using the programming languages Python and R. Each chapter presents a bird’s eye exposition of the respective topic, before moving on to a painless, step-by-step way to solve the problem using Python and R. Readers are given the Python and R code to solve the problem, and for similar problems. Next, the authors show the reader what their Python and R code does utilizing graphics, tables, or statistics. Finally, the authors explain how to read each of the graphics, tables, and statistics. This shows the reader how to interpret results and explain them as they might to a colleague or a manager.