How To Learn R Fast | Episode 1

Written by David Curry on January 7, 2019

June 1 - Shiny Web Applications for Business - OPENS!!!

On June 1st, we're opening the doors to Shiny Web Applications For Business (Level 1), the perfect course to begin developing Shiny web apps!

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Shiny Web Applications for Business

In this first episode of Learning Labs, we discuss how to how to learn R fast, and give you a 30-minute playbook for success with 3 Key Strategies.

The Problem: Data Science Education is bad. There are a million people saying a million different things. Most “data scientists” doing the talking have no experience in the real world. Most programs are ineffective. This makes learning data science a struggle. The sad fact is that most learners don’t succeed.

The Solution: We understand the issue. We’ve studied it over the course of a year designing and devloping trainings and workshops. In this Business Science Learning Lab we give you 3 strategies to Learn R Fast.


We had 115 attendees on the LIVE recording. For those that weren’t able to make it, subscribe to Learning Labs for the next episode.

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Slide Deck

Get the slide deck from the Learning Lab. All resources are hyperlinked.

Playbook for Success:

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We want to help you go from Data Scientist Level 0 (Complete Beginner) to 10 (Advanced), accelerating your career in the process.


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Data Science for Business Curriculum

Business Science University is an educational platform that teaches how to apply data science to business. Our offering includes of a fully integrated, project-based 3-Course R-Track.

BSU R-Track Course Curriculum

Each course takes the student through their progression in a data science journey. Begin your journey with DS4B 101-R which teaches foundations using the tidyverse. Next, master machine learning for business with DS4B 201-R, where you learn H2O and many advanced R packages. Finish with DS4B 301-R where you learn to develop high-performing web applications using Shiny, a powerful framework for productionizing R code.

R-Track Curriculum Summary

Business Analysis with R (Beginner) - Data Science Foundations 7-Week course 12 tidyverse Packages 2 business projects
Data Science For Business with R (Intermediate/Advanced) - Machine Learning + Business Consulting 10-Week course H2O, LIME, recipes, and 10 more packages 1 end-to-end business project
Web Apps for Business with Shiny (Advanced) - Web Frameworks (Bootstrap, HTML/CSS) and Shiny 6-Week course Shiny, shinytest, shinyloadtest, profvis, and more! Take machine learning model into production

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