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# 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. Youâ€™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

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