Shiny is much more than just a dashboarding tool. Here we illustrate 3 powerful use cases for R Shiny Apps in business.
tidyquant v1.0.0: Pivot Tables, VLOOKUPs in R
The NEW tidyquant package (v1.0.0) makes popular Excel functions like Pivot Tables, VLOOKUP(), SUMIFS(), and much more possible in R.
R for Excel Users: Pivot Tables, VLOOKUPs in R
Learn how to use popular Excel functions in R like Pivot Tables, VLOOKUP(), SUMIFS(), and much more.
Tidy Discounted Cash Flow Analysis in R (for Company Valuation)
Learn how to use the Tidy Data Principles to perform a discounted cash flow analysis for Saudi Aramco, an oil giant with a value listed of 1.7 Trillion USD
Shiny Real Estate with Zillow API (Free Course)
Zillow is a FREE TOOL with an API that allows Data Scientists to connect to a massive repository of Home Prices and Features. In this lab, we use Shiny, Crosstalk, and Zillow API to create an ML-powered Zillow Home Price Explanation tool.
Going to rstudio::conf? Meet Business Science, Accelerate Your Career
I can't tell you how excited I am to be a sponsor at rstudio::conf this year. This is my 2nd year attending, and my first as a sponsor. It's an amazing honor. And, I'm here to help you accelerate your career.
Google Trends Email Automation with Shiny
Google Trends is a FREE tool to gain insights about Google Search Terms your organization cares about. What if you could streamline the process of analyzing keyword search trends and emailing a report in 3-4 seconds? Learn how to do just that.
Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial
Learn how to model product prices using the tune library for hyperparameter tuning and cross-validation.
Part 5 - Five Reasons to Learn H2O for High-Performance Machine Learning
H2O is the scalable, open-source ML library that features AutoML. Here's why it's an essential library for me (and you).
NEW BOOK - The Shiny Production with AWS Book
The enterprise-grade process for deploying, hosting, and maintaining Shiny web applications using AWS, Docker, and Git.
Part 4 - Git for Data Science Applications (A Top Skill for 2020)
Moving into 2020, three things are clear - Organizations want Data Science, Cloud, and Apps. A key skill that companies need is Git for application development (I call this Full Stack Data Science). Here's what is driving Git's growth, and why you should learn Git for data science application development.
Part 1 - Five Full Stack Data Science Technologies for 2020 (and Beyond)
Moving into 2020, three things are clear - Organizations want Data Science, Cloud, and Apps. Here are the essential skills for Data Scientists that need to build and deploy applications in 2020 and beyond.