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R for Data Science

R is one of the most popular languages for data analysis and data visualization. This FREE two-week course will introduce learners to the fundamentals of doing data science with R, using the tidyverse. You will work through the data-science lifecycle, starting with importing data into R, tidying it, transforming it to an analysis-ready format, and visualizing it.

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Ramnath Vaidyanathan
Head of Data Science and Engineering at Theta
Real-world projects that teach you industry skills.
Learn alongside a small group of your professional peers
Part-time program with 2 live events per week:
Next Cohort
December 4, 2023
2 weeks
or included with membership

Course taught by expert instructors

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Ramnath Vaidyanathan

Head of Data Science and Engineering at Theta

Ramnath is the Head of Data Science and Engineering at Theta, where he leads a multi-disciplinary team of data scientists and software engineers to revolutionize the world of customer based corporate valuation.

Prior to joining Theta, he was the Head of Data Products and Machine Learning at DataCamp. Before DataCamp, he worked as a Data Scientist at Alteryx, and as an Assistant Professor of Operations Management in the Desautels Faculty of Management at McGill University. He got his PhD in Operations Management from the Wharton School, and worked at McKinsey and Company as a Business Analyst before that. He is addicted to data and R, and has developed several open-source R packages, including rCharts, slidify, and htmlwidgets, aimed at simplifying the process of creating interactive visualizations and web-friendly documents, straight from R.

The course

Learn and apply skills with real-world projects.

Who is it for?
  • Anyone with some programming knowledge interested in becoming a Data Analyst, Data Scientist or Machine Learning Engineer.

  • Software Engineers skilled in programming looking for a career change into data science.

  • Financial Analysts, Accountants, or other professionals looking to learn R for powerful analysis.

Prerequisites / Commitment
  • Working knowledge of at least one modern programming language (Go, Java, JavaScript, Python). Prior exposure to R is beneficial but not required.

Not ready?

Try these prep courses first

  • Introduction to the Data Science Workflow
  • Deconstructing a plot into its constituents
  • Introduction to the Grammar of Graphics
  • Best practices for visualizing data
  • Use ggplot2 to visualize Airbnb listing data, and package it into an interactive flexdashboard.
  • Introduction to Tidy Data
  • Deconstructing a dataset into its constituents
  • Introduction to the Grammar of Data Wrangling
  • Best practices for wrangling data
  • Use the tidyverse to wrangle Airbnb listing data, and package it into an interactive shiny app.

Real-world projects

Work on projects that bring your learning to life.
Made to be directly applicable in your work.

Live access to experts

Sessions and Q&As with our expert instructors, along with real-world projects.

Network & community

Core reviews a study groups. Share experiences and learn alongside a global network of professionals.

Support & accountability

We have a system in place to make sure you complete the course, and to help nudge you along the way.

Frequently Asked Questions

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