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Introduction to Data Science



Download free course Introduction to Data Science, pdf file on 722 pages by Rafael A Irizarry.
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.

Table of contents

Pages : 722
Size : 55.8 MB
Downloads: 220
Created: 2022-02-03
License: CC BY-NC-SA
Author(s): Rafael A Irizarry

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