PROFESSIONAL EDUCATION
Leverage data in creative, relevant ways to solve real-world problems.
Analyze and work with large amounts of data at an advanced level using Python in creative and meaningful ways to solve real problems
Explain the bases of data analysis and processing and work with Python libraries using Pandas and NumPy
Train and evaluate machine-learning algorithms using scikit-learn
Design code that runs in parallel using multiprocessing and multithreading functions;
Create persistence models to be deployed as an API or used for batch scoring
Participants who successfully complete the course will receive credentials certifying completion from the University of Chicago, including a digital badge, and become part of the UChicago network.
These instructors teach this course regularly. Please speak to your enrollment advisor if you wish to know who the current teacher is.
Senior Director of Global Data Strategy and Analytics, AXS
Data Scientist, Amazon
Analytics Executive and Strategy Consultant
Technical professionals who want to bolster their Python knowledge and build machine learning models
Professionals eager to design and write optimized production code in Python to run their projects
Consultants who want to apply Python within the client environment for data handling and analysis
Sales professionals looking to learn Python for data processing, forecasting, and decision-making
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