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:

  • Basic and intermediate programming concepts
  • Modern R workflows with RStudio and tidyverse packages
  • Probability and statistics for data analysis
  • How to clean and visualize data
  • Collaboration tools like git and SQL databases

START LEARNING

First four courses free.

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This path includes four free courses, one paid course, and will also include 10 paid courses that are coming soon. [See plans]

Learn Data Analysis with R

Introduction to Programming in R

Learn the basics of R, a popular programming language for data analysis.

Intermediate R Programming

Enhance your data analysis skills in R.

Data Visualization in R

Learn to use the ggplot2 package for exploratory data visualization in R.

Data Cleaning in R

Learn to perform common data cleaning tasks.

Storytelling Through Data Visualization in R

Learn how to communicate insights and tell stories using data visualization.

Advanced Data Cleaning in R

Learn advanced techniques for cleaning data in R.

SQL Fundamentals for R Users

Learn the basics of working with SQL databases.

SQL Intermediate for R Users

Learn to work with multi-table databases.

APIs and Web Scraping in R

Learn how to acquire data from APIs and the web.

Statistics Fundamentals for R Users

Learn the basics of statistics.

Statistics Intermediate for R Users

Learn some intermediate statistic techniques such as calculating z-scores.

Probability Fundamentals for R Users

Learn the fundamentals of probability for data science.

Statistical Hypothesis Testing for R Users

Learn about hypothesis testing and how it can be used for more robust statistical analysis.

Command Line Fundamentals for R Users

Learn about the command line and how it can be used in the data science workflow.

Git and Version Control for R Users

Learn how to communicate insights and tell stories using data visualization.