ENGR 443 Introduction to Data Science

Practical tools used to analyze and interpret data. A review of probability, statistics and software programming. Data pre-processing techniques, supervised learning techniques in classification and regression, unsupervised learning techniques in clustering and visualization techniques.

Credits

3