Present the basic concepts of data analytics, starting from the basics of descriptive statistics and ending with applications of text mining. Learn how the statistics is used to model uncertainty, discover patterns in data and make actionable decisions. Basic methods of statistical inference and predictive modeling is covered. Several advanced methods of data mining (boosting trees and neural networks) is presented.
The models and methods are applied in different fields such as business, social sciences, health care, sports, etc.Using open source analytical software R in doing statistical calculations.