| Course | Certificate | eBook | R Examples |
|---|---|---|---|
| The Data Scientist’s Toolbox | Link | R for data science | Link |
| R Programming | Link | R programming for data science | Link |
| Getting and Cleaning Data | Link | R Programming for Research | Link |
| Exploratory Data Analysis | Link | Exploratory data analysis with R | Link |
| Reproducible Research | Link | Report writing for data science in R | Link |
| Statistical Inference | Link | Statistical inference for data science | Link |
| Regression Models | Link | Regression models for data science in R | Link |
| Practical Machine Learning | Link | Hands-On Machine Learning with R | Link |
| Developing Data Products | Link | Web Applications with R, plotly, and shiny Web Applications with Shiny and SQL Server Shiny Applications Tutorial |
Link |
| Data Science Capstone | [Link] |
| Course | Certificate | eBook | R Examples |
|---|---|---|---|
| Explainable Machine Learning with LIME and H2O in R | Link | H2o Lime |
| Github Username | Profile Page | |
|---|---|---|
| Teolone88 | Github Profile | Teo Lo Piparo |
Anyone may contribute after each assignment is turned in and graded. Feel free to submit a pull request.