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Data Engineering Accelerated Bootcamp

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Certificate Overview:
Professional Certificate in Digital Marketing

Marketing analytics gathers data from across multiple marketing channels, providing marketers with a solid view of how their campaigns are performing based on a series of business metrics. The goal of this practice is to leverage these insightful findings to make better decisions and optimize future marketing efforts.

Bootcamp Overview

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. 

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About the Accelerated Bootcamp Structure

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In the first week, participants will be welcomed to the program by the instructor and provided with an introduction to the Data Engineering Accelerated Bootcamp, which maps out their learning journey, expectations, and milestones.

Data Engineering Course

Over the next eight weeks, this highly practical course will increase your data engineering through real-world examples. You will discover and leverage the latest industry technologies, tools and trends to thrive in your workplace. The course is followed by a one-week wrap-up to help consolidate key takeaways and allow you to complete and submit any remaining assignments or forum contributions.

Data Engineering Intensive Program

The final three weeks are dedicated to the final project. Participants will engage in topic-specific instructor-led interactive sessions and presentations by industry professionals. They will also create a professional development action plan through individual and group career coaching sessions..

Credential Award Ceremony

The bootcamp culminates in a credential award ceremony, hosted online, to acknowledge participants’ advancement and achievements.

After completing the Bootcamp, you will be able to:

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


After successfully completing the program, you will receive a credential certified by the University of Chicago.

Meet Your Instructor

img instructor Abid-Ali

Abid Ali, PhD

Data Engineering Instructor

Abid Ali has designed and delivered large-scale transformations worldwide across industries. He leads internal initiatives and capabilities and works with C-suite executives to devise strategies for migration and transition to modern data platforms.

Building a Career in Data Engineering

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.



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


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


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

Admissions Process



Pay the non-refundable US$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.

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The University of Chicago Approach to Online Learning

Our online learning programs are crafted with your specific needs in mind.

Certificate programs combine e-learning with live, interactive sessions to strengthen your skill set while maximizing your time. We couple academic theory and business knowledge with practical real-world application.

Through online learning sessions, you will have an opportunity to grow your professional network and interact with University of Chicago instructors and your classmates.

Why the University of Chicago?

Becoming a member of the University of Chicago community means gaining access to world-class instructors and a cohort of curious, diverse individuals.

Through a firm grounding in core principles and a rigorous approach to problem-solving, our teaching method—the Chicago Approach—will give you the tools you need to make sense of complex data and turn ideas into impact.

Participants will receive a certificate of completion.

Why the University of Chicago?-Tower-img-