Learn Statistics with 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!
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- 1Learn to use R or manually calculate the mean, median, and mode of real-world datasets.
- 2In this module, you will learn how to quantify the spread of the dataset by calculating the variance and standard deviation in R.
- 3In this course, you will learn how to calculate three important descriptive statistics that describe the spread of the data.
- 4Learn about the statistics used to run hypothesis tests. Then, learn how to use R to run different t-tests that compare distributions.
What you'll create
Portfolio projects that showcase your new skills
Central Tendency for Housing Data in R
In this project, you will use your knowledge of mean, median and mode to make conclusions about three boroughs in New York City: Manhattan, New York City, and Queens.
Variance in Weather in R
In this project, you will try to find the best time to plan a trip to London by looking at a weather dataset containing over 39,000 pieces of weather-related data!
Life Expectancy By Country
In this project, we will investigate a dataset containing information about life expectancy in different countries
How you'll master it
Stress-test your knowledge with quizzes that help commit syntax to memory
— Madelyn, Pinterest“I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.”