Probability and Statistics for Data Science with R

Colleagues, the Probability and Statistics for Data Science with R program introduces you to the discipline of statistics as a science of understanding and analyzing data. Start off with the basics of R and exploring data, then move on to understanding uncertainty, confidence intervals and hypothesis testing, then modeling with simple and multiple regression to learn how to use data to make inferences and conclusions about real world phenomena. R is a popular programming language for statistical computing. R is growing rapidly because you can use it for free and users can submit new packages to expand functionality. You can use text interfaces or download your own graphical interfaces making R highly customizable! Learning how to use R will give you a long term advantage for any of your work in statistics or data science as R continues to grow worldwide.  Skill-based training modules will equip you in the following areas: 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 (individuals & teams welcome): https://tinyurl.com/5yrbc9sb 

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