1. Data Collection and Preprocessing

1. Understanding the grepl() function in R (Mon/Wed)

2. Strategies for Handling Missing Data (Mon/Wed)

3. Combining Sub-Categories in Dataframes in R with grepl() (Mon/Wed)

4. Min-max Scaling in R (Mon/Wed)

5. Web Scraping in R (Tues/Thurs)

6. Working with Time Zone in R with Lubridate (Tues/Thurs)

7. Tricks of data cleaning and visualization in R (Tues/Thurs)

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