DATA606 Statistics and Probabilty for Data Analytics
Author: Jason Bryer, Ph.D.
Significant portions of this package are drawn from OpenIntro Statistics.
Course website: http://data606.net
This course covers basic techniques in probability and statistics that are important in the field of data analytics. Discrete probability models, sampling from infinite and finite populations, statistical distributions, basic Bayesian statistics, and non-parametric statistical techniques for categorical data are covered in this course. Each of these statistical concepts will be applied in a variety of real-world scenarios through the use of case studies and customized data sets.
See the CUNY Website for details about the Online Master's Degree in Data Analytics.