Free
CourseLearn Statistics with R
Learn how to implement statistical models and run hypothesis tests in R.
This course includes
This course includes
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary4 hoursProjects
4Prerequisites
1 courseWe suggest you complete the following courses before you get started with Learn Statistics with R:- Learn R
About this course
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.
Skills you'll gain
Use R for statistical analysis
Calculate descriptive statistics (mean, median, variance, etc.)
Form and test hypotheses
Analyze and interpret datasets
Syllabus
9 lessons • 4 projects • 4 quizzesCertificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Projects in this course
- practice Project
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: Brooklyn, Manhattan, and Queens. - practice Project
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! - practice Project
Life Expectancy By Country
In this project, we will investigate a dataset containing information about life expectancy in different countries
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- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
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Related resources
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Standard Normal Distribution Explained with Real-World Examples
Learn about standard normal distribution, its properties, and how to calculate probabilities using z-tables, charts, and real-world examples. - Article
Differences Between Z-Test and T-Test
Learn the key differences between Z-Test and T-Test in hypothesis testing. Find out when to use each test based on sample size, variance, and assumptions.
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Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.