Data Engineering Accelerated Bootcamp

Pave the way for efficient analysis, insights, and the creation of data-driven solutions.

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At a Glance

13 Weeks
$7,000 Full Bootcamp

Introducing UChicago's Data Engineering Accelerated Bootcamp

Our Data Engineering Accelerated Bootcamp is a comprehensive training modality that focuses on the fundamental skills and real-world experience in demand today in the field of data engineering. You will emerge from this rich learning experience with a new set of technical skills, equipped to navigate cutting-edge developments and incorporate best practices into your work to thrive in multiple industries.

Designed For

Designed for professionals interested in entering or transitioning into data engineering, data science, data architecture, data modeling, or data analytics.

Two business professionals reviewing data on a screen.

Dive into the World of Data, Analytics, and Cutting-edge Technology

Contact our admissions team to discover how our Data Engineering Accelerated Bootcamp can revolutionize your career.

Schedule a Call

What You Will Learn in the Data Engineering Accelerated Bootcamp

Participants will immerse themselves in the world of data engineering to acquire core analytical and technical skills and explore current and future industry trends. Technical in nature, the program provides hands-on practice in SQL, NoSQL, and Python coding using various data engineering platforms.

Upon completing the program, you will be able to:

  1. Establish a framework for data acquisition, storage, transformation, and management.
  2. Utilize programming languages such as Python, SQL, and NoSQL to query and analyze data.
  3. Design data warehouses to collect, store, and manage data to support business intelligence.
  4. Comply with data privacy and security regulations to safely store and manage data.
  5. Analyze and visualize data using Tableau reports and dashboards to communicate insights and inform decision-making.
  6. Utilize Google Cloud services for relational databases.
  7. Collaborate in a team to develop a data pipeline for a specific business use case.

The program is designed to address and develop these competencies:

  • Big Data
  • Business Intelligence
  • Critical Thinking
  • Data Analysis
  • Data Lakes
  • Data Modeling
  • Data Pipelines and ETL Processes
  • Data Security and Compliance
  • Data Visualization
  • Data Warehousing
  • Database Creation and Management
  • Distributed and Cloud Computing
  • Google Cloud Relational Database Service
  • Linux Foundations
  • Python
  • SQL, NoSQL, and Cloud SQ

Tools and Technologies

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Google Cloud

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After successful completion of the program, participants will receive a credential certified by the University of Chicago.

Unlock Your Potential with Our Accelerated Bootcamp

Are you ready to dive into the dynamic world of data engineering and harness the power of data for innovation? Our Accelerated Bootcamp is engineered to equip you with the skills and knowledge needed to thrive in this rapidly evolving field.

Why choose our Data Engineering Bootcamp?

  • Practical Approach: Our curriculum is designed for hands-on learning, allowing you to immediately apply concepts to real-world scenarios.
  • Expert Instructors: Learn from industry professionals with extensive experience in data engineering, gaining insights and guidance from seasoned experts.
  • Industry-Relevant Skills: Acquire skills that are directly applicable to the current demands of the data engineering job market.

Embark on your data engineering journey with us and emerge ready to tackle the complexities of the data-driven world. Learn how to secure your spot in the Data Engineering Accelerated Bootcamp today.

Accelerated Bootcamp Format

  • Orientation
  • Thirteen-week data engineering course
  • Three-week data engineering intensive program
  • Certificate award ceremony

Acquire additional support throughout the program from teaching assistants and career advisors.

Ready to Get Started?

Meet Your Instructor

Abid Ali, Master of Science in Analytics instructor

Abid Ali, PhD

Customer Success Architect, Sigma Computing

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...

Learn more about Abid

Career Benefits

Building a career in the Data Engineering Industry

Data engineers are in charge of building and maintaining an organization’s data infrastructure. Working with databases, data warehouses, and data pipelines, they must identify trends in data—an essential skill for managing and converting data into information that can drive results.  Data engineering is needed in practically every industry. As long as there is data, data engineers will be in demand—and this trend isn’t showing any signs of slowing. A career in data engineering is both challenging and rewarding. And with the right skill set, it may be one of the most lucrative data-focused roles.

$ 115 k

The average salary for a data engineer in the United States.

# 1

The position of data engineer among the fastest-growing tech jobs.

50 %

Year-over-year growth in the number of open data engineering positions.

Data Engineering career paths

  • App Developer
  • Blockchain Developer
  • Compliance Expert
  • Cybersecurity Analyst
  • Data Scientist
  • Financial or Business Analyst
  • Product Manager
  • Quantitative Analyst

Admissions Process


Application Fee

Pay the non-refundable $150 fee and complete the application.



Receive a call for an interview with our Admissions team.



Our admissions committee will inform you of their final decision within two business days.

Offered by The University of Chicago's Professional Education

Join Our Data Engineering Accelerated Bootcamp Today

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