Introduction to Data Science: Data Analysis and Prediction Algorithms with R
Overview & Synopsis
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, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation.
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Document Information
| Document Title | Introduction to Data Science: Data Analysis and Prediction Algorithms with R |
|---|---|
| Author / Organization | Rafael A. Irizarry |
| Subject & Discipline | Data Science and Data Engineering, Data Analysis and Data Mining, Big Data, The R Programming Language, Statistics, Mathematical Statistics, and SAS Programming |
| Categories | Data Science and Data Engineering |
| Publication Year | 2024 |
| ISBN | 978-1032116556 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-55809 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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