Teaching R is our mission at Business Science University because R is the most efficient language for exploring data, performing business analysis, and applying data science to business to extract ROI for an organization. R has an amazing ecosystem of tools that seemlessly work together, which has been termed the “tidyverse”. The “tidyverse” ecosystem can take business analysis to a new level. Here’s the key: 99.9% of business analysts don’t know R (and its awesome power). With our learning system, you can learn R quickly, setting yourself on a career tragectory in data science.

R is the most efficient language for exploring data, performing business analysis, and applying data science to business to extract ROI for an organization. …you can learn R quickly, setting yourself on a career tragectory in data science.

At Business Science, We are developing a revolutionary new system for teaching Business Analysis with R (Business Analysis with R is a new course we are developing at Business Science University). The system is revolutionary for a number of reasons (we’ll get to these in a minute). The cornerstone of our teaching process is the Data Science with R Workflow that was originally taught by Hadley Wickham and Garrett Grolemund in the the excellent book, R For Data Science. The NEW R Cheatsheet links the documentation, cheatsheets, and key resources available for every R package in the data science with R workflow into one meta-cheatsheet that illustrates the workflow.

The NEW R Cheatsheet links the documentation, cheatsheets, and key resources available for every R package in the data science with R workflow into one meta-cheatsheet that illustrates the workflow.

Get The New R Cheatsheet

Just go to our website, and you’ll see it available under the “Resources” Tab. The NEW R Cheatsheet with the Data Science Workflow in R is available for download here.

Download the NEW R Cheatsheet

How To Use The Cheatsheet

The NEW R cheatsheet is an amazing reference. It contains every resource you need for referencing the tidyverse documentation in one spot. Let’s take a look.

The Workflow

The first thing you will notice is the workflow that is prominently presented. You can see where the various R Packages are used.

Data Science Workflow

Links To Documentation

Here’s the beauty of the R cheatsheet. With one click, you can easily get to the web documentation for any of the key tidyverse R packages.

One-Click To Documentation

With one click, you can easily get to the web documentation for any of the key tidyverse R packages.

Links To Package Cheatsheets

Wait, there’s more. By clicking “CS”, you can even get the individual R package cheatsheets. These are PDF documents maintained by RStudio that provide snapshots of the most important functions contained in the package cheatsheets.

One-Click To Package Cheatsheets

With one click, you can easily get to the web documentation for any of the key tidyverse R packages.

Links To Key Resources

We didn’t stop at documentation and cheatsheets. We also added in important references to get you up to speed quickly.

One-Click To Important References

We didn’t stop at documentation and cheatsheets. We also added in important references to get you up to speed quickly.

Our Revolutionary System For Learning R For Business

Are you interested in learning R For Business? Then look no further.

• Business Science University has the most advanced, technology intensive, and streamlined data science educational system for business on the planet.

• We are developing a NEW INTRODUCTORY COURSE (DS4B 101-R) that delivers an amazing educational experience for learners that want to apply R to business analysis.

• The beginner DS4B 101-R is the prequel to the intermediate/advanced DS4B 201-R course

Course Launch Date

Launch is expected at end of November 2018 / Beginning of December 2018. Sign up at Business Science University to get updates.

Course Details

Our NEW BUSINESS ANALYSIS WITH R COURSE (DS4B 101-R) combines:

• Teaching the Data Science with R Workflow in a 100% business context: data import, data manipulation (business aggregations, time-based calculations, text manipulation, categorical manipulation, and missing data), data visualization, business reporting with RMarkdown, and advanced analysis including scaling analysis and building functions.

• Two state-of-the-art business projects.

Project 1 – Exploratory Analysis of Digital Media Merchant

• Business Project 1: Complete a full exploratory analysis on a simulated digital media merchant:

  • Connect to a sqlite database to retrieve transactional data,
  • Join data from 11 database tables including customers, products, and time-based transactional history
  • Cleaning data using dplyr and tidyr
  • Business Analysis: Product Level Analysis, Customer Level Analysis, Time-Based Analysis, and Business Filtering to Isolate Key Populations

• Business Project 2: Apply the advanced skills through a Customer Segmentation project

  • Use K-Means Clustering to anlayze customer purchasing habits and group into segments
  • Apply data visualization techniques investigate the key buying habits
  • Bonus Material and More!

Why Choose Business Science for Education?

• Research: We know how to learn R efficiently and what ingredients create high performance data science teams.

• Business Application over Tools: We don’t teach tools. We teach how to solve business problems using tools. There is a key difference. Our approach builds knowledge you can apply immediately.

• Learn In Weeks What Takes Years: When you take a Business Science University course, you learn everything needed to solve the business project. You learn from proven frameworks and workflows. We cut out anything that you don’t need to know. This makes our programs the most efficient programs for learning.

If You Can’t Wait for 101-R For Business Analysis, Get 201-R For Data Science

Available Now!

To be efficient as a data scientist, you need to learn R. Take the course that has cut data science projects in half (see this testimonial from a leading data science consultant) and has progressed data scientists more than anything they have tried before. Over 10-weeks you learn what it has taken data scientists 10-years to learn:

• Our systematic data science for business framework
• R and H2O for Machine Learning
• How to produce Return-On-Investment from data science
• And much more.

Start Learning Today!