The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, algorithm building with caret, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation with knitr and R markdown. The book is divided into six parts: R, Data Visualization, Data Wrangling, Probability, Inference and Regression with R, Machine Learning, and Productivity Tools. Each part has several chapters meant to be presented as one lecture. The book includes dozens of exercises distributed across most chapters.
Download free tutorial in PDF (722 pages) created by Rafael A Irizarry .
| Pages : | 722 |
| Size : | |
| Downloads: | 263 |
| Created: | 2021-05-15 |
| License: | Free |
| Author(s): | Rafael A Irizarry |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263
Others related eBooks about Introduction to Data Science
The ideal reader for this book will be quantitatively literate and has a basic understandi..., download free Data Science in R tutorial in PDF (144 pages) created by Brian Caffo .
There's never been a better time to get into data science. But where do you start? Data Sc..., download free Data Science tutorial in PDF (186 pages) created by .
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphic
This engaging and clearly written textbook/reference provides a must-have introduction to ..., download free Data Science tutorial in PDF (450 pages) created by Steven S. Skiena .