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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
Space is limited

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.

  • 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.

A course you'll actually complete. AI-powered learning that drives results.

AI-powered learning

Transform your learning programs with personalized learning. Real-time feedback, hints at just the right moment, and the support for learners when they need it, driving 15x engagement.

Live courses by leading experts

Our instructors are renowned experts in AI, data, engineering, product, and business. Deep dive through always-current live sessions and round-the-clock support.

Practice on the cutting edge

Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.

Flexible schedule for busy professionals

We know you’re busy, so we made it flexible. Attend live events or review the materials at your own pace. Our course team and global community will support you every step of the way.


Completion certificates

Each course comes with a certificate for learners to add to their resume.

Best-in-class outcomes

15-20x engagement compared to async courses

Support & accountability

You are never alone, we provide support throughout the course.

Frequently Asked Questions

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