Data Engineering at University of Chicago Overview
Data Engineering
at University of Chicago
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 contents
Data Engineering at University of Chicago Highlights
Data Engineering
at University of Chicago
- Earn a certificate from the University of Chicago
- Learn from industry experts
Data Engineering at University of Chicago Course details
Data Engineering
at University of Chicago
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?
- 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
Data Engineering
at University of Chicago
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
Data Engineering
at University of Chicago
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
Data Engineering
at University of Chicago
| Particulars | Statistics (2025) |
|---|---|
| % Batch placed | 70 |
Data Engineering at University of Chicago Entry Requirements
Data Engineering
at University of Chicago
PTE
- No specific cutoff mentioned
Other eligibility criteria
- Education: Graduate
Conditional Offer
- Yes
- Read moreNo 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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at University of Chicago
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Data Engineering at University of Chicago Contact Information
Data Engineering
at University of Chicago
Address
Edward H. Levi Hall 5801 South Ellis Avenue Chicago, Illinois 60637 USA
Chicago ( Illinois)
Phone
Go to College Website ->
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