PROFESSIONAL EDUCATION

Data Engineering

Explore industry trends in leveraging data to solve business problems.

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After completing the course, you will be able to:

After completing the course, you will be able to:

  1. Understand databases and data classification, formats, and profiles

  2. Apply data privacy and security, ingestion, and quality and preparation techniques

  3. Explore NoSQL database types, supported formats, and data models using the MongoDB application

  4. Implement data cleaning and validation techniques that ensure information reaches users properly for exploitation

Earn a credential certifying completion from the University of Chicago and become part of the UChicago network

Course Modules

Our Approach to Online Learning

Our Data Engineering course provides a technical overview of understanding, processing, and reporting on data.

Flexible

Make the most of your time with a modality that lets you study and complete coursework at your own pace. If you are unable to attend webinars or live sessions, you can access them later.

Interactive

Our interactive content includes videos from instructors at the University of Chicago and visual and graphic materials that provide real-life examples.

Personalized

The instructional assistant—a subject matter expert—will accompany you on your journey through the content, answering your questions and providing feedback on your work.

Meet Your Instructor

These instructors teach this course regularly. Please speak to your enrollment advisor if you wish to know who the current teacher is.

UCH Faculty Abid Ali
Abid Ali, PhD

Customer Success Architect, Sigma Computing

UCH Faculty Abhishek Chaturvedi
Abhishek Chaturvedi, MSc

Data Scientist at Amazon

Unique Program Features

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Live Sessions
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World-Class Instructors
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Hands-On Learning
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International Networking

This course is an excellent fit for:

  • Professionals in associate-level, non-technical roles who want to transition into data science

  • Consultants who wish to address customer needs by applying data structure to projects

  • Engineers interested in structuring data for the applications and services they develop

Student Feedback

This course helped me better develop information analysis and achieve normalization in relational databases as well as enhanced visualization of data in Tableau and Grafos.
Marisol Pedraza García
Big Data Engineer
I learned a lot from the live sessions and webinars. The activities help clarify concepts and the instructors were really helpful.
María Valdes Moreno
Senior Data Manager at NT Intelligence

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