Read the following:
Chapter 6: Descriptive Data Mining (Section 6.1-6.3)
This chapter focuses on understanding and employing principal component analysis, evaluating distance measures for quantitative and binary variables, and constructing clusters with the k-means clustering algorithm.
Chapter 8: Linear Regression (Section 8.1 - 8.6)
This chapter includes the basic principles of regression methods for prediction. Some of the specific items you will cover include how regression can be used to create predictions using a combination of predictors. Furthermore, expect to gain insight into how to interpret the results to ensure your predictions are reliable and as accurate as possible.
Your course textbook can be accessed via the DART eBook link in the Getting Started module.
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