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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

Participants who successfully complete the course will receive credentials certifying completion from the University of Chicago, including a digital badge, and become part of the UChicago network.

Course Modules

  • Python

  • Database Languages, Systems, and Tools

  • Other Tools and Platforms

  • Introduction to Python and Jupyter Notebooks

  • Foundations of Data

  • Data Classification, Data Formats, and Data Profiles

  • Data Privacy and Security

  • Data Ingestion Techniques

  • Data Quality and Preparation

  • Introduction to Cloud Computing

  • Database Fundamentals

  • Database Management Systems

  • Database Classification

  • Relational Database Concepts

  • Database Design

  • Introduction to SQL

  • Structured Query Language

  • Manipulating Data

  • Categorizing Data

  • Summarizing Data

  • Sorting and Grouping Data

  • Introduction to Cloud SQL

  • Combining Data

  • Nested Queries

  • Views and Indexes

  • Transforming Data

  • Migration from MySQL to Cloud SQL

  • Introduction to Business Intelligence

  • Data Warehousing Concepts

  • Extract, Transform, Load (ETL)

  • Reporting, Dashboards, KPIs, and Metrics

  • Introduction to NoSQL Databases

  • Introduction to Document Databases

  • Document Database Applications and Use Cases

  • Introduction to MongoDB (a Document Database)

  • Extracting Insights from Document Databases

  • Introduction to Graph Databases

  • Graph Database Applications and Use Cases

  • Building a Graph Database

  • Extracting Insights from Graph Datasets

  • Project Report and Submissions

  • Project Stages

Learn about data engineering from industry insiders.

In charge of building and maintaining an organization’s data infrastructure, from databases and data warehouses to data pipelines, data engineers identify trends in data sets—a skill essential to managing and converting data into the information data scientists and business analysts need to drive results. Data engineering is a broad field with applications in practically every industry. As long as there is data—and the volume is increasing every minute—data engineers will be in demand. A career in data engineering can be both challenging and rewarding, and, with the right skill set, among the most lucrative data-driven roles.

$115K

Is the average salary for a data engineer in the United States.
Source: Glassdoor

#1

Is the position of data engineer among the fastest-growing tech jobs.
Source: Towards Data Science

50%

Is the year-over-year growth in the number of open data engineering positions.
Source: Towards Data Science

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 format 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

Unique Program Features

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Live Sessions
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World-Class Instructors
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Hands-On Learning

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

Didn't find what you were looking for? Schedule a call with one of our Program Advisors or call us at +1 315 810 9499.

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