Learn Statistics with R

This course introduces core statistics concepts and the R programming language, widely used in Data Analysis and Data Science. You'll explore descriptive statistics such as mean, median, and variance, and use R to analyze datasets, form hypotheses, and test them, equipping you with essential skills for data analysis.

Syllabus

Learn R: Mean, Median, and Mode: Learn to use R or manually calculate the mean, median, and mode of real-world datasets.

Lesson: Mean in R
Lesson: Median in R
Lesson: Mode in R
Project: Central Tendency for Housing Data in R
Quiz: Mean, Median, and Mode in R

Learn R: Variance and Standard Deviation: In this module, you will learn how to quantify the spread of the dataset by calculating the variance and standard deviation in R.

Lesson: Variance in R
Lesson: Standard Deviation in R
Quiz: Variance and Standard Deviation in R
Project: Variance in Weather in R

Learn R: Quartiles, Quantiles, and Interquartile Range: In this course, you will learn how to calculate three important descriptive statistics that describe the spread of the data.

Lesson: Quartiles
Lesson: Quantiles
Lesson: Interquartile Range
Quiz: Quantiles, Quartiles, and IQR
Project: Life Expectancy By Country

Learn R: Hypothesis Testing: Learn about the statistics used to run hypothesis tests. Then, learn how to use R to run different t-tests that compare distributions.

Lesson: Hypothesis Testing with R
Quiz: Hypothesis Testing with R
Project: Blood Transfusion Analysis