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.
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.