Python and R for the Modern Data Scientist

Discover the
modern data ecosystem​

We believe in using the best tools for the job. That’s why we enable data professionals to improve their daily work with R and Python.

Reveal the best of both worlds​

A journey of discovery consists of many steps, each building on the last. You will learn new ways of thinking and working while learning a new language, its packages, and workflows.

Learn R as a Pythonista​

R is made by and for statisticians. New advances, such as the Tidyverse, have transformed the language, opening up new ways to work with and reason about data for seasoned Pythonistas.

Learn Python as a UseR

UseRs will learn to take advantage of the excellent possibilities that this general-purpose language provides, especially in topics such as machine learning.

Understand the packages​

We'll help you sort through the dazzling variety of packages and help you avoid reinventing the wheel.

Discover the best workflows​

We'll explore machine learning, data visualization, reporting and others to uncover the best tools for the job.

Integrate R and Python

We'll take a step-by-step walk-through of tools that integrate Python & R into a single workflow that will change the way you work.

Explore a case study

We'll dissect a practical example of modern data science, producing a quick and elegant result using the best of both worlds.

Modern data design is a new synthesis​

Using Python & R synergistically is part of a larger modern data design rooted in timeless principles.

It's functional

We aim to use the right tool for the job.

It's collective

We integrate into larger data science teams.

It's a synthesis

We look beyond our small niche.

Bilingual Data Science Cheat sheet​

Get your Python-R Bilingual Dictionary

Sometimes you just need to know how to say something in another language. Keep this cheat sheet handy for when you need a quick reference!

Meet the authors

We live and breathe data. Our mission is to show a new way of thinking and working with data.

Rick Scavetta​


As a founder of Scavetta Academy, Rick is teaching the next generation of laboratory scientists around the world new ways of working with their precious data. Over 200,000 students have taken Rick’s online courses at DataCamp since 2016. He’s also contributed to advanced data science courses for O’Reilly and Manning.

Boyan Angelov


A decade of experience in academic and industry environments, covering topics such as bioinformatics, clinical trials, HRTech, and management consulting.  Work on data science, engineering, and strategy.

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