Equip yourself with the necessary R skills to land your first job as a data analyst — or take your career to the next level by adding this in-demand programming language.
You’ll learn how to program with R to explore and extract data and create data visualizations. By the end, you’ll be able to present insights thanks to deep statistical analysis.
In this path, you’ll learn the fundamentals of R and build upon them with more advanced skills. You’ll learn how to use RStudio, applications and tools, tidyverse, DataFrames, tibbles, operators, expressions, and much more — as well as data visualization, graphs, plots, and charts.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
- Introduction to Data Analysis in R
- Data Structures in R
- Control Flow, Iteration, and Functions in R
- Specialized Data Processing in R: Strings and Dates
- Data Visualization in R
- Data Cleaning in R
- Storytelling Through Data Visualization in R
- Data Cleaning in R: Advanced
- SQL Fundamentals
- SQL Intermediate in R
- APIs in R
- Web Scraping in R
- Statistics Fundamentals for R Users
- Statistics Intermediate in R: Averages and Variability
- Probability Fundamentals for R Users
- Hypothesis Testing in R
- Conditional Probability in R
- Linear Modeling in R
- Introduction to Machine Learning
- Introduction to Shiny in R
