
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
