Statistics Certification with R from Duke University (Coursera)

Statistics Certification with R from Duke University (Coursera) ranks 5th in the list of best online probability & statistics courses. In this Duke University program, you will deconstruct data in R, create analysis reports, and learn Bayesian statistical inference and modeling. You will also learn how to use R to communicate statistical results, critique data-driven claims, evaluate data-driven decisions, and visualize data. Mine etinkaya-Rundel, Associate Professor of Practice, David Banks, Professor of Practice, Colin Rundel, Assistant Professor of Practice, and Merlise A Clyde, Professor designed and taught the course. If you want to learn Probability and Statistics with R, this is an excellent option.

You will learn how to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, and critique data-based claims in this Specialization.

What you will learn:

• Analyze and visualize data
• Perform hypothesis tests, interpret statistical results (e.g., p-values), and report the results of your analysis to clients
• Fit, examine, and utilize regression models to examine relationships between multiple variables
• Install and use R and RStudio

The 5 courses in this Specialization are:

• Introduction to Probability and Data
• Inferential Statistics
• Linear Regression and Modeling
• Bayesian Statistics
• Statistics with R Capstone Project

Rating: 4.7/5.0