1. Data Scientist with R Track
2. Exploratory Data Analysis
3. Sentiment Analysis
4. Text Mining: Bag of Words
5. Cluster Analysis
6. Correlation and Regression
7. Unsupervised Learning
8. Supervised Learning
9. Data Visualization: ggplot2
10. Working with Web
11. SQL for Data Science
12. Importing & Cleaning Data
13. Joining Data with dplyr
14. Data Manipulation with dplyr
15. String Manipulation with stringr
16. Writing Functions in R