Now’s the time to take advantage of the huge demand for data professionals to learn technical skills and get hired in this exciting field. Our Data Analyst in R career path is ideal for beginners and professionals alike. No prior knowledge is necessary.

Learn R, one of the most popular programming languages among data scientists, and set yourself up for success as a highly qualified and in-demand data analyst.

Learn data analysis in R and build an interview-ready portfolio that showcases your talent — all at your own pace and from the comfort of home.

  • Build your knowledge of basic and intermediate programming concepts in R
  • Master statistics and probabilities
  • Discover modern R workflows with RStudio and tidyverse packages
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What You’ll Learn

Learning any technical skill without guidance is difficult — Dataquest makes it simple. Our data analyst in R career path will guide you through each technical skill necessary to exceed expectations as a data analyst. From the basics of R programming through machine learning and linear modeling, our courses have you covered.

By the end of this path, you’ll be able to clean and analyze large data sets, tell compelling stories using visualizations to enable actionable insights, acquire vast amounts of data from web scraping and APIs, build interactive web-based dashboards for reporting, and accurately test hypotheses to drive effective change. And that’s just the tip of the iceberg.

Dataquest’s curriculum is an all-in-one solution. It teaches you every skill recruiters look for when hiring top talent, plus a little extra to give you a competitive edge.

  • Basic and intermediate R programming
  • Data analysis, cleaning, and visualization
  • Data structures and processing
  • Control flow, iteration, and functions
  • SQL queries
  • Web scraping using APIs and the web
  • Statistics, probabilities, and hypothesis testing
  • Machine learning and linear modeling
  • Make interactive, web-based data apps with R and Shiny
Data Scientist in Python Salary Increase

Data analysts average between $68K to $100K per year according to Glassdoor.com

Data Scientist in Python Job Openings

Over 120,000 open data analyst roles are listed on LinkedIn

Data Scientist In Python Job Growth

Data analysts projected 20% growth between 2018 and 2028, according to Indeed

How Our Data Analyst in R Career Path Works

Our courses are hands-on and interactive, so you’re engaged in your learning every step of the way. No more boring videos or lectures. No more figuring it out on your own. Not only will you learn relevant, in-demand skills, but you’ll have the opportunity to validate your new skills with practice problems along the way. The Data Analyst in R career path will prepare you for your first entry-level job in the field, or it can help you take your existing job to the next level. You will learn how to use RStudio, applications and tools unique to R, tidyverse, DataFrames, tibbles, operators, expressions, and much more — as well as data visualization, graphs, plots, and charts.

If you need help during your studies, we’re here for you. With our support and community guidance, someone will always be there to steer you in the right direction if you get stuck.

Here’s a quick glance at our data analyst in R path curriculum:

  • This career path consists of courses that include Intro to Data Analysis in R through advanced topics like Advanced Data Cleaning in R and Web Scraping in R
  • You’ll be writing real code and answering practice problems  to continuously validate and apply your new skills.
  • At the end of each course, you’ll complete a guided project to enhance your resume and reinforce what you’ve learned.
  • Upon completion of each course, you’ll receive a certificate that’s shareable with your professional network.
  • After completing the entire path, you’ll have the skills necessary to become a data analyst in R!
  • At any time, you can redo practice problems and lessons if you want to review or keep your skills sharp.

Enroll in this career path and become a data analyst in R today!

Data Analyst in R Career Path Course List

Introduction to Data Analysis in R
Learn the basics of R, a popular programming language for data analysis.

Data Structures in R
Learn about vectors, matrices, lists, dataframes, and more in R.

Control Flow, Iteration, and Functions in R
Enhance your R programming skills with if statements, for loops, and much more.

Specialized Data Processing in R: Strings and Dates
Learn to work with specialized data types like text data, times, and dates 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.

Data Cleaning in R: Advanced
Learn advanced techniques for cleaning data in R.

SQL Fundamentals
Learn the basics of working with SQL databases.

SQL Intermediate in R
Learn to work with multi-table databases.

APIs in R
Learn how to acquire data from APIs and the web.

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 in R: Averages and Variability
Learn some intermediate statistic techniques such as calculating z-scores.

Probability Fundamentals for R Users
Learn the fundamentals of probability for data science.

Hypothesis Testing in R
Learn the fundamentals of hypothesis testing using R

Conditional Probability in R
Learn about conditional probability and Naive Bayes in R

Linear Modeling in R
Learn linear regression modeling in R.

Introduction to Machine Learning
Learn the fundamentals of machine learning with R and the caret library.

Introduction to Shiny in R
Learn how to make interactive web-based data apps with R and Shiny.

Who is this Data Analyst in R Career Path For?

Those Who Want a Career in Data Analysis

This path is suitable for anyone looking for a new and exciting career in data analysis. Regardless of prior experience or education level, learn all the skills and tools you need to acquire and land the dream data analyst position.

Those Who Want to Learn a New, In-Demand Skill

This path is also for professionals eager to add another skill to their toolbelt. Perhaps you want to use data analysis to perform more efficiently in your current role. Or, maybe you’re seeking career advancement, and data analysis is just the right skill you need to get promoted. Regardless of the reason, when considering the vast amount of applications data analysis skills have professionally, learning it is a no-brainer!