Probability & Statistics for Data Science with R (Harvard U.)

Colleagues, the Probability and Statistics for Data Science with R program from Harvard University teaches you how to apply statistical methods to explore, summarize, make inferences from complex data and develop quantitative models to assist business decision making.. It includes instructional components, R tutorial videos, and exercises to reinforce concepts and give you an opportunity to see statistics in action. Michael Parzen is an award-winning faculty member at Harvard and teaches one of the most popular classes. Kaitlin Hagan is a post-doctoral fellow at Brigham and Women's Hospital and has won numerous teaching awards and citations for her work. Graphing and Summarizing Data, Measures of Association and Regression, Collecting Data, Basic Probability, Random Variables, Sampling Distributions, Confidence Intervals, Hypothesis Testing, Analysis of Two-way Tables,  Inference for Regression. discipline of statistics as a science of understanding and analyzing data. If you want to simultaneously learn R and applied statistics, you can count on this course to take you from beginner to an advanced level.Training modules include: 1) Graphing and Summarizing Data, 2) Measures of Association and Regression, 3) Collecting Data, 4) Basic Probability, 5) Random Variables, 6) Sampling Distributions, 7) Confidence Intervals, 8) Hypothesis Testing, 9) Analysis of Two-way Tables and 10) Inference for Regression.

Enroll today (teams & execs welcome): https://tinyurl.com/2p9xkwy3 

Much career success, Lawrence E. Wilson -  Online Learning Central