KU Data Analytics Boot Camp is a fast-paced 24-week online program focused on the technical skills needed to solve real-world data problems. Throughout the course, you will gain proficiency in numerous in-demand technologies, including Excel, Python, JavaScript, SQL Databases, Tableau, Machine Learning, and more.

The total program commitment time is 25-30 hours per week, including online sessions, homework, group projects, and self-study. You are supported in this journey by your dedicated cohort of staff, which includes instructors, teaching assistants, tutors, student success teams, and career coaches. You'll also benefit from peer-to-peer assistance throughout the program.

Program Highlights:

• Study part-time, with the flexibility you need to balance your work-life schedule.
• Employ statistical analysis to model, predict, and forecast trends
• Expertly build VBA scripts in Excel to automate tedious manual processes
• Utilize real-world data sources to showcase social, financial, and political phenomena
• Create Python-based scripts to automate the cleanup, re-structuring, and rendering of large, heterogeneous datasets
• Interact with RESTful APIs using Python Requests and JSON parsing techniques
• Create in-depth graphs, charts, and tables utilizing a wide-variety of data-driven programming languages and libraries
• Use geographic data to create visually exciting, interactive, and informative maps
• Build custom interactive data visualizations using JavaScript libraries
• Write SQL commands to perform Create, Read, Update, and Delete operations
• Use advanced SQL and Mongo techniques to combine multiple datasets into one to create an even more comprehensive database
• Create basic interactive websites and applications to show your work to the entire world
• Create web applications and visualize datasets through a variety of charts
• Scrape information from web pages in order to collect data from a wide variety of online sources
• Communicate and glean new business insights using enterprise-grade tools like Tableau
• Work in a collaborative group on a complex data-mining project
• Understand the basics of troubleshooting and enhancing legacy code

Program Accessibility