Data Science: Understanding Big Datasets
offered by The University of Chicago

Private University
217 acre campus
Estd. 1890

Data Science: Understanding Big Datasets
at
UChicago
Overview

Unlock the solutions hidden in data to take on business challenges

Duration	8 months
Total fee	₹6.22 Lakh
Mode of learning	Online
Course Level	UG Certificate

Data Science: Understanding Big Datasets
at
UChicago
Highlights

Earn a certificate of completion from The University of Chicago

Data Science: Understanding Big Datasets
at
UChicago
Course details

Skills you will learn

Python Statistics Data Science

Who should do this course?

For professionals with backgrounds in computer science, data analysis, mathematics

What are the course deliverables?

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

More about this course

This program is designed to provide solid theoretical frameworks in key areas of expertise within the field
The program will guide participants through core principles, tools, and industry trends, culminating in a deep dive into artificial intelligence and machine learning
Upon completing the program, you will be equipped with the tools to put your interdisciplinary knowledge into practice in any industry that uses data to make better business decisions

Data Science: Understanding Big Datasets
at
UChicago
Curriculum

Data Engineering

Python for Data Science

Statistics for Data Science

Artificial Intelligence and Machine Learning

Data Science: Understanding Big Datasets
at
UChicago
Faculty details

Gregory Bernstein

Gregory Bernstein works as a data scientist for Kinexon Sports and Media, a small branch of a Germany-based company that works with teams in the NBA, NFL, and other professional leagues to monitor athletes' movement and exertion, provide consultation regarding load management, and optimize in-game performance.

Shree Bharadwaj

Shree Bharadwaj works at West Monroe, a management consulting company. As a Center of Excellence lead, he advises private equity and venture capital firms and C-level executives on value creation, post-close synergies, and data and analytics (BI/AI) strategies focused on business outcomes.

Brian Craft

Brian Craft is a seasoned data scientist with eight years of industry experience. He is currently a Data scientist at Conagra Brands, where he is focused on scaling their machine learning capabilities and developing models to understand consumer purchase behavior and identify emerging ingredient and flavor trends.

Utku Pamuksuz

Dr. Utku Pamuksuz is a data analytics researcher with expertise in data science, business analytics, applied mathematics, and machine/deep learning. He has taught analytics courses at the University of Chicago and the University of Illinois at Urbana Champaign.