PATH
Data Analyst in R [BETA]
Learn data analysis with R. This path is currently in BETA. You can learn more about the upcoming courses and launch timeline here.
This path will teach you the basics of R programming for data analysis, and how to explore different types of data.
You’ll learn how to work with data sources, data cleaning techniques, how to perform statistical analyses, data visualization, predictive analysis, and more:
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This path includes four free courses and one paid course. Ten additional paid courses will be added to this path by the end of the year.
Learn Data Analysis with R
Introduction to Programming in R
Learn the basics of R, a popular programming language for data analysis.
FREE
Intermediate R Programming
Enhance your data analysis skills in R.
FREE
Data Visualization in R
Learn to use the ggplot2 package for exploratory data visualization in R.
FREE
Data Cleaning in R
Learn to perform common data cleaning tasks.
FREE
Storytelling Through Data Visualization in R
Learn how to communicate insights and tell stories using data visualization.
BASIC
Advanced Data Cleaning in R
Learn advanced techniques for cleaning data in R.
BASIC
SQL Fundamentals for R Users
Learn the basics of working with SQL databases.
BASIC
SQL Intermediate In R
Learn to work with multi-table databases.
BASIC
APIs and Web Scraping in R
Learn how to acquire data from APIs and the web.
BASIC
Statistics Fundamentals for R Users
Learn the basics of statistics.
BASIC
Statistics Intermediate for R Users
Learn some intermediate statistic techniques such as calculating z-scores.
BASIC
Probability Fundamentals for R Users
Learn the fundamentals of probability for data science.
BASIC
Statistical Hypothesis Testing for R Users
Learn about hypothesis testing and how it can be used for more robust statistical analysis.
BASIC
Command Line Fundamentals for R Users
Learn about the command line and how it can be used in the data science workflow.
BASIC
Git and Version Control for R Users
Learn how to communicate insights and tell stories using data visualization.
BASIC