This is an introductory course on Data Science. It is structured around the data science life cycle, and covers a brief introduction to each pieces in the life cycle.
Topics to be covered
Data science life cycle
Data collection and sampling
Summary Statistics
Graphics and visualization
Data transformation
Principal component analysis
Clustering
Linear regression
For a detailed discussion on philosophy of the course design as well as the general concept of data science, please take a look at a recent paper written by Prof. Davis and myself.