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

R
Getting Started with R and RStudio
R Basics
Programming basics
The tidyverse
Importing data
Data Visualization
Introduction to data visualization
ggplot2
Visualizing data distributions
Data visualization in practice
Data visualization principles
Robust summaries
Statistics with R
Introduction to Statistics with R
Probability
Random variables
Statistical Inference
Statistical models
Regression
Linear Models
Association is not causation
Data Wrangling
Introduction to Data Wrangling
Reshaping data
Joining tables
Web Scraping
String Processing
Parsing Dates and Times
Text mining
Machine Learning
Introduction to Machine Learning
Smoothing
Cross validation
The caret package
Examples of algorithms
Machine learning in practice
Large datasets
Clustering
Productivity tools
Introduction to productivity tools
Organizing with Unix
Git and GitHub
Reproducible projects with RStudio and R markdown

Pages :	722
Size :	55.8 MB
File type :	PDF
Downloads:	163
Created:	2022-02-03
License:	CC BY-NC-SA
Author(s):	Rafael A Irizarry

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