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: 178
Created: 2022-02-03
License: CC BY-NC-SA
Author(s): Rafael A Irizarry
Introduction to Data Science

Others Computer science Tutorials

Power BI Succinctly

Computation and the Humanities

How the World Changed Social Media

Crypto 101

Algorithms

Others related eBooks about Introduction to Data Science

Modern C

Download free course Modern C, pdf file on 324 pages by Jens Gustedt....

MATLAB tutorial in PDF

Download free MATLAB tutorial course in PDF, training file in 34 chapters and 227 pages. Free unaffiliated ebook created from Stack OverFlow contributor....

Interpretable Machine Learning: A Guide for Making Black Box Models Explainable

This book explains to you how to make (supervised) machine learning models interpretable....

Ray Tracing Gems

This book is a must-have for anyone serious about rendering in real time. With the announc..., download free Ray tutorial in PDF (607 pages) created by Eric Haines ....

Think Bayes

If you know how to program with Python and also know a little about probability, you're re..., download free Bayes tutorial in PDF (210 pages) created by ....

802.11ac: A Survival Guide

The next frontier for wireless LANs is 802.11ac, a standard that increases throughput beyo..., download free Survival Guide tutorial in PDF (152 pages) created by ....

S-BPM Illustrated

Download free course S-BPM Illustrated, pdf file on 144 pages by Albert Fleischmann, Stefan Raß, Robert Singer....

Using Adobe Soundbouth CS5

This PDF tutorial presents an understanding of key audio concepts helps you get the most out of Adobe Soundbooth CS5,download free training document for intermediat level-users....

Intel Trusted Execution Technology for Server Platforms

Intel Trusted Execution Technology (Intel TXT) is a new security technology that started a..., download free Server Platforms tutorial in PDF (153 pages) created by William Futral ....

Hibernate Notes for Professionals

Download free course Hibernate Notes for Professionals, pdf file on 38 pages by Stack Overflow Community....