This textbook aims to be an approachable introduction to the world of data science. In this book, we define data science as the process of generating insight from data through reproducible and auditable processes. If you analyze some data and give your analysis to a friend or colleague, they should be able to re-run the analysis from start to finish and get the same result you did (reproducibility).
At a high level, in this book, you will learn how to identify common problems in data science, and
solve those problems with reproducible and auditable workflows.
By Tiffany Timbers, Trevor Campbell, and Melissa LeeRead more.
The techniques and tools covered in Data Science: A First Introduction are most similar to the requirements found in Data Scientist job advertisements.
