6 Books Every Data Scientist Should Keep Nearby

Statistical learning and related methods are necessary to work in data science. This textbook is designed to help anyone and everyone, from an undergraduate to a Ph.D. student, understand the concepts. Of course, it also offers a great selection of R labs and practices, with detailed explanations and walkthroughs. The idea is that you can use it as a direct resource while practicing data science, especially during the educational phase. Plus, it's a great resource to have around and look back at regularly. The concepts and information are practical for daily applications.