Learn Statistics with R

Overview

Learn how to implement statistical models in R

### Why Learn Statistics with R?

This course is a great introduction to both fundamental statistics concepts and the R programming language. R is used by professionals in the Data Analysis and Data Science fields as part of their daily work.

### Take-Away Skills

In this course, you will dive into the world of statistics using the popular language R. Starting with a handful of descriptive statistics like mean, median, mode, variance, and IQR, you will use R to better describe our datasets. You’ll then learn how to make hypotheses and test those hypotheses. By learning these skills in R, you will grow your ability to describe and analyze your data!

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