Learn the data science skills to accelerate your career in 6-months or less.
R-Track | Step 3
Learn state-of-the-art forecasting using modeltime, timetk, and GluonTS machine learning.
R-Track | Step 1
Learn data science foundations with 10+ tidyverse packages in one integrated course.
R-Track | Step 2
Learn H2O, recipes, lime, while you follow a real-world consulting-style business project.
R-Track | Step 4
Learn Shiny for building machine learning-powered web applications that are production-ready.
R-Track | Step 5
Build Scalable Data Science Applications using R, Shiny, and AWS Cloud Technology.
Python-Track | Step 1
Help organizations transition business processes to data science automations.
Make a stock portfolio optimization application that improves the Sharpe Ratio of your investments.
Apply cutting-edge machine learning to predict and explain employee churn. Identify which departments, job roles, job levels, and people have the highest expected attrition risk.
Implement a machine learning model to predict sales demand daily, weekly, monthly, quarterly, and yearly.
How one of our students reduced his time to deliver data science products by 50% after taking the Business Science University curriculum.
You have access to our instructors and your peers through our Private Slack Channel.
Join the Business Science Tribe
