Python for Data Science
offered by The University of Chicago

Private University
217 acre campus
Estd. 1890

Python for Data Science
at
UChicago
Overview

Learn to leverage data using Python in creative and relevant ways to solve real-world problems

Duration	8 weeks
Start from	Start Now
Total fee	₹2.34 Lakh
Mode of learning	Online
Official Website	Go to Website
Course Level	UG Certificate

Python for Data Science
at
UChicago
Highlights

Earn a certificate from the University of Chicago
Learn from industry experts

Python for Data Science
at
UChicago
Course details

Skills you will learn

Python Data analysis Data Science

Who should do this course?

For individuals who want to enhance their knowledge & skills in the field

What are the course deliverables?

Create persisting models to be deployed as an API or used for batch scoring
Design code that runs in parallel using multiprocessing and multithreading functionality
Discuss advanced Python functionalities like classes and functions
Understand the Python language
Perform advanced data analysis and manipulation
Write production-level Python code
Train and evaluate machine-learning models
Design and optimize Python code for performance and speed
Write Python code to efficiently process large data sets
Prepare machine-learning models for production use

More about this course

The eight-week Python for Data Science course at the University of Chicago introduces the basic concepts of Python as a programming language
This highly technical course is project-based at its core and will present you with many practical examples before giving you the opportunity to create and run your own Python projects
In a world where data is considered a commodity, data science practitioners need to have a greater understanding of the components of designing and writing Python code
Our course will provide you with a comprehensive introduction to the most popular programming language and teach you how to leverage it to solve real-world problems

Python for Data Science
at
UChicago
Curriculum

Week 1: Foundational Python

Week 2: User-Defined Functions and Classes

Week 3: Data Analysis and Manipulation

Week 4: Advanced Data Analysis and Manipulation

Week 5: Training and Evaluating Machine Learning Models

Week 6: Parallelizing Model Training and Using Multiprocessing

Week 7: Scraping and Threading

Week 8: Model Deployment

Python for Data Science
at
UChicago
Faculty details

Josh Goldberg, MS

Joshua Goldberg is a data scientist with eight years of industry experience. He currently works at Amazon as a data scientist, building machine learning models to support Amazon’s supply chain operations in Private Brands. Previously, he worked at Nuveen Investments, focusing on personalization for clients in sales and marketing. Before Nuveen, Joshua worked in finance, building financial models for publicly traded companies.

Patrick McQuillan, MBA

Patrick McQuillan is passionate about data as a tool for change and decision-making. He has held leadership roles, most recently as the Global Head of Data Governance and Operational Effectiveness at Wayfair. Previously, he led international consulting teams to drive AI strategy and technology enablement for Fortune 100, government, and higher education clients.

Python for Data Science
at
UChicago
Entry Requirements

Eligibility criteria Up Arrow Icon

Education: Graduate

Conditional Offer Up Arrow Icon

Yes
No programs at the University of Chicago offer conditional admission to students who have not submitted an application following the standard application process and deadlines. A few will make conditional offers of admission to students who otherwise have met the requirements for admission, but do not yet meet the program's English proficiency requirements. If you receive a conditional offer, you will not be allowed to enroll until you have met the requirement; the conditions may not be met after arrival on campus.
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