In this course you will be introduced to basic concepts in predictive analytics, also called predictive modeling, the most prevalent form of data mining. You will cover two core paradigms that account for most business applications of predictive modeling: classification and prediction. You will also study commonly used machine learning techniques and learn how to combine models to obtain optimal results. This course includes hands-on work with Python, a free software environment with statistical computing capabilities.
Consider our trial course, Predictive Analytics Preview. This is a one-week review of the Predictive Analytics 1 – Machine Learning Tools course and introduces the basic concepts in predictive analytics as the most prevalent form of data mining.