Wrangling Big Data is one of the best features of the R programming language - which boasts a Big Data Ecosystem that contains fast in-memory tools (e.g. data.table) and distributed computational tools (sparklyr). With the NEW dtplyr package, data scientists with dplyr experience gain the benefits of data.table backend. We saw a 3X speed boost for dplyr!

I'm pleased to announce the introduction of correlationfunnel version 0.1.0, which officially hit CRAN yesterday. The correlationfunnel package is something I've been using for a while to efficiently explore data, understand relationships, and get to business insights as fast as possible.

In this article, we'll examine how Blue Oceans are created and how your organization can create Blue Oceans with Data Science too. We'll finish with a roadmap for your organization to build Blue Oceans with Data Science.

This is a true story based on how I created my data science company from scratch. It's a detailed documentation of my personal journey along with the company I founded, Business Science.

Learn how going from Excel to R can speed up Exploratory Data Analysis, getting business insights 100X FASTER.

When you want to learn data science, you are faced with endless options and limited time. Here's the best approach to learn data science!

Understand the data science workflow by defining the sequence of steps to go from a business problem to generating business value using a data science workflow.

Learn step-by-step how to built a wedding risk model Shiny app.

The Ultimate R Cheat Sheet now covers the Shinyverse - An Ecosystem of R Packages for Shiny Web Application Development, Deployment, and putting Machine Learning into Production. Download the Cheat Sheet for Free!

We have just released a new 1-HOUR COURSE - Building APIs in R with plumber - Available in Learning Labs PRO.

Becoming a data scientist in Finance can be a lofty challenge... unless you know how to streamline the path.

We've built a revolutionary system for taking machine learning models into production with R and Shiny. Learn by building two (2) applications - a Sales Dashboard and a Predictive Web Application that integrates Shiny, Flexdashboard, and XGBoost!