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Python for Data Science 

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  • 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

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Total fee

2.34 Lakh

Mode of learning

Online

Official Website

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Course Level

UG Certificate

Python for Data Science
 at 
UChicago 
Highlights

  • Earn a certificate from the University of Chicago
  • Learn from industry experts
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Python for Data Science
 at 
UChicago 
Course details

Skills you will learn
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

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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

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Conditional OfferUp Arrow Icon
  • Yes

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Python for Data Science
 at 
UChicago 
Contact Information

Address

Edward H. Levi Hall 5801 South Ellis Avenue Chicago, Illinois 60637 USA
Chicago ( Illinois)

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