Recommended Individual Learning Paths

Here, we recommend learning paths suitable for different Analytics career orientations, in order to help you get the best ROI from your learning.

The popular Analytics career tracks we cover are:

• General Business Analytics
• Marketing Analytics
• Technology Product Analytics
• Financial Analytics
• Analytics Consulting
• Hardcore Data Science & Machine Learning

General Business Analytics

• SQL programming
• R programming
• Regression, Big Data & Machine Learning courses at Booth
• Adobe Analytics Challenge

Marketing Analytics

• SQL programming
• R programming
• Quantitative Marketing courses at Booth
• Marketing Research & Consulting projects through Kilts Center
• Adobe Analytics Challenge

Technology Product Analytics

• SQL programming
• R programming
• Regression, Big Data & Machine Learning courses at Booth
• Product Management knowledge through Booth Tech

Financial Analytics

• R programming
• Quantitative Finance courses at Booth
• Financial Mathematics courses at UChicago's Mathematics department

Analytics Consulting

• SQL programming
• R programming
• Regression, Big Data & Machine Learning courses at Booth
• Knowledge of – though not necessarily working skills in – distributed data storage & computing frameworks such as Apache Hadoop & Apache Spark
• Solid Strategy knowledge
• Analytics & general Tech case competitions

Hardcore Data Science & Machine Learning

• SQL programming
• R programming
• Python programming
• Machine Learning course at Booth
• Advanced courses in UChicago systems, especially at Toyota Technology Institute & Computer Science department
• Kaggle competitions
• Amazon Web Services
• Working skills in distributed data storage & computing frameworks such as Apache Hadoop & Apache Spark