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Unlocking solutions hidden in data to take on business challenges.
The University of Chicago's Professional Certificate in Data Science for Business is an immersive ten-month learning journey that prepares professionals to meet the challenges of today's data-driven environment. This program will equip you to become a cutting-edge data scientist able to develop, optimize, and scale disruptive AI and machine learning models.
Our ten-month Data Science for Business certificate is designed to provide solid theoretical frameworks in key areas of expertise within the field. Taught by seasoned industry experts, the program will guide participants through core principles, tools, and industry trends, culminating in a deep dive into artificial intelligence and machine learning. This certificate program comprises the following courses:
This course provides a technical overview of data collection, storage, management, and usage to bolster business intelligence.
Project-based and application-oriented, the course will teach you how to design, write, and run high-performing Python code.
This course equips you with the core tools to manage datasets, extract meaningful insights, and enhance decision-making processes.
Here, you will acquire the mathematical and theoretical frameworks to leverage machine learning and expand your Python skills.
The course teaches you the art of conveying insights through compelling narratives to drive impactful, data-led decision-making.
Build and extract insights from document databases
Design code that runs in parallel using multiprocessing and multithreading functionality
Understand RStudio and its application
Use scripting languages , including Python, to process, visualize, and analyze large data sets and implement machine learning solutions
Craft data insights into narratives that spur action and create value
Be awarded a credential from the University of Chicago and become part of the UChicago network
Customer Success Architect, Sigma Computing
Statistics for Data Science Instructor
Analytics Executive and Strategy Consultant
Chief Data Scientist and Cofounder, Inference Analytics
Strategic Data Storytelling Co-Instructor
Vice President of Analytics and Insights, Vericast
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