Moving into 2020, three things are clear - Organizations want Data Science, Cloud, and Apps. Here's how Docker plays a part in the essential skills of 2020.

Learn how to perform a tidy approach to classification problem with the new parsnip R package for machine learning.

A data science team has many tools that all need to be integrated. And, this can be INTIMIDATING. Here are some tips to deal with the complexity of a data science tech stack.

Organizations depend on the Data Science team to build distributed applications that solve business needs. AWS provides an infrastructure to host data science products for stakeholder to access.

Learn how one Business Science student created a data product that aims to help his organization improve the quality of care while reducing cost.

Learn how to build Scalable Data Science Applications using AWS Cloud Technology.

We've crafted an amazing course to teach Data Scientists and Programmers how to develop applications and deploy into production! We've combined an innovative program with a clear-cut path to production using R, Shiny, and AWS! You'll undergo a complete transformation. Time to accelerate your career!

Learn how to web scrape HTML, wangle JSON, and visualize product data from the Bicycle Manufacturer, Specialized Bicycles.

We can often improve forecast performance by cleaning anomalous data prior to forecasting. This is the perfect use case for integrating the clean_anomalies() function from anomalize into your forecast workflow.

Learn how to scrape and wrangle PDF tables of a Report on Endangered Species with the tabulizer R package and visualize trends with ggplot2.

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.