Introduction to Data Science
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 : | |
| Downloads: | 202 |
| Created: | 2022-02-03 |
| License: | CC BY-NC-SA |
| Author(s): | Rafael A Irizarry |
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