I’m pleased to announce the release of tidyquant version 1.0.0 that includes Excel in R (Pivot Tables, VLOOKUPs, Sum-Ifs, and 100+ Excel Functions). I’ve also integrated the FREE Tiingo API via riingo. There are a ton of new features that are cove...

New business and financial analysts are finding R every day. Most of these new userRs (R users) are coming from a non-programming background. They have ample domain experience in functions like finance, marketing, and business, but their tool of choice...

The tidy data principles are a cornerstone of financial data management and the data modeling workflow. The foundation for tidy data management is the tidyverse, a collection of R packages, that work in harmony, are built for scalability, and are taugh...

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. Shiny ...

I can’t tell you how excited I am to be a sponsor at rstudio::conf(2020) this year. This is my 2nd year attending, and my 1st time as a sponsor. It’s an amazing honor. And, my team and I are here for 1 Reason: To help you accelerate your ...

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 PDF report in 3-4 seconds? Learn how to do just that. I?...

Product price estimation and prediction is one of the skills I teach frequently - It's a great way to analyze competitor product information, your own company's product data, and develop key insights into which product features influence product price...

H2O is the scalable, open-source Machine Learning library that features AutoML. Here are 5 Reasons why it's an essential library for creating production data science code. Full-Stack Data Science Series This is part of a series of articles on ...

It's the new year. Moving into 2020, I'd like to introduce you to the BRAND NEW Shiny Production with AWS Book. This book details the enterprise-grade process for deploying, hosting, and maintaining Shiny web applications using AWS, Docker, and Git. It...

Moving into 2020, three things are clear - Organizations want Data Science, Cloud, and Apps. Here are the Top 5 essential skills for Data Scientists that need to build and deploy applications in 2020 and beyond. This is part of a series of arti...

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. This ...

This article comes from Diego Usai, a student in Business Science University. Diego has completed both 101 (Data Science Foundations) and 201 (Advanced Machine Learning & Business Consulting) courses. Diego shows off his progress in this Customer...

This article comes from Joon Im, a student in Business Science University. Joon has completed both the 201 (Advanced Machine Learning with H2O) and 102 (Shiny Web Applications) courses. Joon shows off his progress in this Web Scraping Tutorial with rv...

In this tutorial, we’ll show how we used clean_anomalies() from the anomalize package to reduce forecast error by 9%. R Packages Covered: anomalize - Time series anomaly detection Cleaning Anomalies to Reduce Forecast Error by 9% We can often...

This article comes from Jennifer Cooper, a new student in Business Science University. Jennifer is 35% complete with the 101 course - and shows off her progress in this PDF Scraping tutorial. Jennifer has an interest in understanding the plight of wild...

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 scien...

I’m pleased to announce the introduction of correlationfunnel version 0.1.0, which officially hit CRAN yesterday. The correlationfunnel package is a tool that enables efficient exploration of data, understanding relationships, and get to business ins...

You’re a Business Analyst - well versed in tools like Tableau, PowerBI, and maybe even SQL, but you want to take your data analytics abilities to the next level, by improving productivity and making predictive business insights with data science (rather than just descriptive insights). Then R is the ...

It continues to amaze us at the progress that our students are making in applying data science in the real world. Bryan Clark (LinkedIn), Data Scientist with H&M and student in our Business Science University DS4B 201-R course has successfully appl...

With the rise of digital marketing led by tools including Google Analytics, Google Adwords, and Facebook Ads, a key competitive advantage for businesses is using A/B testing to determine effects of digital marketing efforts. Why? In short, small change...