Data Engineering
offered by University of Chicago

Private University
217 acre campus
Estd. 1890

Data Engineering
at
University of Chicago
Overview

Understand, prepare, and transform data as a core component of business intelligence

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

Data Engineering

Table of content

Overview
Highlights
Course Details
Curriculum
Faculty
Placements
Entry Requirements

Data Engineering
at
University of Chicago
Highlights

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

Data Engineering
at
University of Chicago
Course details

Skills you will learn

NoSQL Database management Data Warehousing

Who should do this course?

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

What are the course deliverables?

Build and extract insights from document databases
Create reports and dashboards in Tableau using an analytical datastore
Develop a coherent, concise, and realistic analysis, and apply your knowledge and understanding of creating an automated end-to-end data pipeline
Understand databases, data classification, data formats, and data profiles
Apply data privacy and security, data ingestion techniques, and data quality and preparation
Identify the principles and best practices of relational databases
Use SQL, the standard language for database management

More about this course

The University of Chicago’s eight-week Data Engineering course will provide you with a technical overview of how to understand, leverage, and report on data
You will be taught how to source, prepare, and analyze historical data
Often considered the most critical skill for data scientists, data engineering—also known as information engineering—looks at how to collect, analyze, and practically apply data
Expertise in data engineering is required across industries, and professionals equipped with this unique technical knowledge are an asset to any organization

Data Engineering
at
University of Chicago
Curriculum

Week 1: Introduction to Data Engineering

Week 2: Relational Databases

Week 3: Introduction to SQL

Week 4: Advanced Structured Query Language (SQL)

Week 5: Data Warehousing and Business Intelligence

Week 6: NoSQL Databases—Document Databases

Week 7: NoSQL Databases—Graph Databases

Week 8: Data Engineering Project Implementation

Data Engineering
at
University of Chicago
Faculty details

Abid Ali, PhD

Abid Ali has worked in data and analytics for years at major consulting firms, designing and delivering large-scale transformations worldwide in diverse industries. He leads internal initiatives and capabilities and works with C-suite executives to devise strategies for migration and transition to modern data platforms.

Data Engineering
at
University of Chicago
Placements

Particulars	Statistics (2025)
% Batch placed	70

View placement details

Data Engineering
at
University of Chicago
Entry Requirements

PTE

No specific cutoff mentioned

Other 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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