Introduction to Data Science
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 : | |
| File type : | HTML |
| Downloads: | 274 |
| Created: | 2021-05-15 |
| License: | Free |
| Author(s): | Rafael A Irizarry |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233
Others Data Science Tutorials
The Data Science Design Manual
Regression Models for Data Science in R
Others related eBooks about Introduction to Data Science
Learning Laravel by examplesWith this PDF tutorial you will learn how to build a web application with Laravel PHP Framework version 4, free training document under 58 pages....
100 Laravel Quick TipsDownload free course 100 Laravel Quick Tips, pdf file on 41 pages by Self-publishing3...
Introduction to C and GUI ProgrammingThe popular C programming language is used for a huge range of applications, from the tiny microcontrollers used in toasters and watches up to complete operating systems....
Building Skills in Python: A Programmer's Introduction to PythonThis book is a complete presentation of the Python language. It is oriented toward learning, which involves accumulating many closely intertwined concepts. In our experience teaching, coaching and doing programming, there is an upper limit on the "clue absorption rate". In order to keep within thi...
Graph AlgorithmsLearn how graph algorithms can help you leverage relationships within your data to develop..., download free Algorithms tutorial in PDF (256 pages) created by Mark Needham ....
Learning JavaDownload free course Learning Java, pdf file on 1225 pages by Stack Overflow Community....
Classical Object-Oriented Programming with ECMAScriptDownload free course Classical Object-Oriented Programming with ECMAScript, pdf file on 23 pages by Mike Gerwitz....
The C++ Hackers GuideAn experienced programmer accumulates a set of tools, tricks, and techniques to make his or her programs better. ...
Modeling and Simulation in PythonModeling and Simulation in Python is an introduction to physical modeling using a computat..., download free Python tutorial in PDF (245 pages) created by ....
Getting started with XcodeDownload free Xcode tutorial course in PDF, training file in 11 chapters and 49 pages. Free unaffiliated ebook created from Stack OverFlow contributor....