This course covers advanced topics to aid in the preparation of data for a successful data science project. You will learn how to use functions, deal with missing values, use advanced field operations, handle sequence data, apply advanced sampling methods, and improve efficiency.
1: Using functions to cleanse and enrich data
2: Using additional field transformations
3: Working with sequence data
4: Sampling, partitioning and balancing data
5: Improving efficiency