Explore the world of data analysis with R through Duke University's Specialization. Learn to analyze and visualize data, perform hypothesis tests, interpret statistical results, and utilize regression models. This comprehensive program also delves into exploring data, probability theory, and Bayes' rule.
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This course consists of three modules covering introduction to probability and data with R, inferential statistics, and linear regression and modeling.
This module introduces sampling and exploring data, basic probability theory, and Bayes' rule. You will learn various sampling methods and exploratory data analysis techniques, as well as how to install and use R and RStudio for lab exercises and projects.
Explore commonly used statistical inference methods for numerical and categorical data. Learn to set up and perform hypothesis tests, interpret p-values, and report results in an understandable manner. Practical tools and fundamental concepts for data analysis will be covered.
Discover simple and multiple linear regression models to assess relationships between variables in a data set and a continuous response variable. Gain a fundamental understanding of linear regression theory and its practical application using R and RStudio.
Cluster Analysis using RCmdr is a 1-hour project-based course teaching k-means and Hierarchical clustering using RCmdr with 29 cars data and 22 dimensions.
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