About the Course
Over eight weeks, our Data Engineering course will provide you with a a technical overview of data collection, storage, analysis, and usage. You will be taught how to source, prepare, and manage historical data. You will also learn about the history and principles of database systems, how to clean raw data, and how to use SQL to load and query data in databases.
You Will Learn To:
- Build and extract insights from document databases.
- Create reports and dashboards in Tableau using an analytical data store.
- Identify the principles and best practices of relational databases.
- Use SQL, the standard language for database management.
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.
Methodologies and Techniques:
Python, Jupyter, MySQL, mongoDB, Neo4J, OpenRefine, Tableau, Google Cloud, and Anaconda
Career Outlook
Data engineering is the fastest-growing occupation in the IT space, and data engineers are prized across industries and in a variety of settings. 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 quantities are 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, is among the most lucrative data-driven roles.
50
%The year-over-year growth in the number of open data engineering positions.
Source: Towards Data Science
- Big Data Engineer
- Business Intelligence Engineer
- Computer Vision Engineer
- Data Architect
- Machine Learning Engineer
Meet Your Instructors
These instructors teach this course regularly. Please speak to your enrollment advisor if you wish to know who the current teacher is.
Abid Ali, PhD
Customer Success Architect, Sigma Computing
Abid Ali has spent a large part of his career working in data and analytics at major consulting firms, designing and delivering 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.
A believer in lifelong learning, Ali has earned several advanced degrees, including two master’s degrees, an Executive MBA, and a PhD in Organizational Leadership, as well as certifications from AWS, Azure, Celonis, Dataiku, SAFe Agile, and Teradata.
The University of Chicago Approach to Online Learning
Our online learning programs are crafted with your specific needs in mind. 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.
What Our Participants Say
"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."
"I learned a lot from the live sessions and webinars. The activities help clarify concepts and the instructors were really helpful."
