Course
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Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
Track
Discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.
Loved by learners at thousands of companies
Make progress on the go with our mobile courses and daily 5-minute coding challenges.
Course
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
Course
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Course
Learn to perform linear and logistic regression with multiple explanatory variables.
Learn to perform linear and logistic regression with multiple explanatory variables.
Course
Master sampling to get more accurate statistics with less data.
Master sampling to get more accurate statistics with less data.
Course
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
Statistics Fundamentals in R
Track
Complete
Data Scientist, Etsy
Yes, this track is designed for beginners who are interested in learning statistics and its various applications.
The programming language used in this track is R, which is widely used by data scientists and statisticians for statistical analysis.
This track will benefit professionals in a variety of fields such as data science, statistics, business, finance, healthcare, and many others.
This track will provide you with a strong foundation in statistics and data analysis, which are highly sought-after skills in many industries. It will also give you hands-on experience working with real-world data.
The track is self-paced, so it depends on how much time you can devote to it. Typically, it takes around 20 hours to complete as it consists of several courses.
A skill track is designed to upskill users in a specific set of skills, while a career track is focused on preparing users for a specific job or career path.
Yes, you can switch between courses within this track based on your interests and learning goals.
Yes, the datasets provided in this track are created from real-world examples to give you practical experience in data analysis.
The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track

DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company