Course Description
Predictive analytics delivers the greatest value when the data being modeled is relevant to the business goals. Explore the preprocessing phase of data collection to provide the best predictive model.
Learning Objectives
Pre-processing Data
- start the course
- recognize what is tidy and what is untidy data
- identify outliers and determine whether to remove these values
- perform data transformation, normalization, and scaling
- recognize important aspects of variable partitioning
- recognize important aspects of setting dummy variables and removing variables
- recognize key approaches for handling missing data
- use imputation to replace missing data