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!
We have just released a new 1-HOUR COURSE - Finance in R with tidyquant - Available in Learning Labs PRO.
Kmeans clusering is an unsupervised machine learning algorithm that can be used to segment customers into similar groups for marketing.
These are 3 Rules I learned through my consulting experience that have helped me be able to deliver results with data science.
We have just released a new 1-HOUR COURSE - Build a Strategic Database with Web Scraping - Through Learning Labs PRO.
Customer segmentation is the process of grouping customers by specific likeness. Creating customer segmentation enables a business to target specific groups of customers and personalize marketing for each group.
Student feedback led to a BRAND NEW CHEAT SHEET on customer segmentation and a major overhaul to our Week 6 Modeling Chapter in our Business Analysis with R Course.
The first article in a 3-part series on Excel to R, this article walks the reader through a Marketing Case Study exposing the 10X productivity boost from switching from Excel to R.