Learn R

R is a popular language used by data scientists and researchers. If you are working with data, R is a fantastic language to learn.

### Why Learn R?
R is a widely used statistical programming language that’s beloved by users in academia and industry. R works well with data, making it a great language for anyone interested in data analysis, data visualization, and data science.
### Take-Away Skills
In this course, you’ll be exposed to fundamental programming concepts in R. After the basics, you’ll learn how to organize, modify and clean data frames, a useful data structure in R. Then you’ll learn how to create data visualizations to showcase insights in data! Finish up with statistics and hypothesis testing to become a data analysis expert.
### Note on Prerequisites:
You do not need to know how to code to enroll in this course!

• Learn R: Introduction: Learn the basics of R Syntax and jumpstart your journey into data analysis.
• Lesson: Introduction to R Syntax
• Project: Calculating Population Change Over Time with R
• Quiz: Introduction to R
• VideoContentItem: Introduction to the RStudio IDE
• VideoContentItem: How is R Special?
• Learn R: Data Frames: Learn how to organize and modify data in R using data frames and dplyr.
• Lesson: Introduction to Data Frames in R
• Lesson: Modifying Data Frames in R
• Quiz: Manipulating Data Frames in R
• Project: Explore the 1985 Cars Dataset
• Learn R: Data Cleaning: Learn how to prepare data for analysis in R using dplyr and tidyr.
• Lesson: Data Cleaning in R
• Quiz: Data Cleaning in R
• Project: Cleaning US Census Data
• Learn R: Fundamentals of Data Visualization with ggplot2: Learn the basics of how to create visualizations using the popular R package ggplot2.
• Lesson: Intro to Visualization with R
• Quiz: Introduction to ggplot2
• Project: Visualizing Carbon Dioxide Levels
• Learn R: Aggregates: Learn the basics of aggregate functions in R with dplyr, which let us calculate quantities that describe groups of data.
• Lesson: Aggregates in R
• Quiz: Aggregates in R
• Project: A/B Testing for ShoeFly.com
• Learn R: Joining Tables: Learn the basics of joining tables together in R with dplyr.
• Lesson: Joining Tables in R
• Quiz: Joining Tables in R
• Project: Page Visits Funnel
• 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