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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 datastore
- Develop a coherent, concise, and realistic analysis and apply your knowledge and understanding to create an automated end-to-end data pipeline
- Be awarded a certificate of completion from the University of Chicago and become part of the UChicago network
- Evaluate the similarities and differences between joins and subqueries in coding and decide which is more suitable based on your use case
- Implement data collection techniques, such as web scraping and survey
- Populate a graph database and extract insights from graph datasets
Methodologies and Techniques:
Python, Jupyter, MySQL, mongoDB, Neo4J, OpenRefine, Tableau, Google Cloud, and Anaconda
Career Outlook
115
kThe average salary for a data engineer in the United States
Source: Glassdoor
1
The rank of data engineer among the fastest-growing jobs in tech
Source: Towards Data Science
50
%The year-over-year growth in the number of open data engineering positionsf
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
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.
Abhishek Chaturvedi, MSc
Data Scientist at Amazon
Abhishek Chaturvedi is a data science and product management professional dedicated to a wide range of sectors and functions. He has experience applying his expertise to marketing, people analytics, strategic planning, and technology R&D across the aerospace, defense, financial services, retail, and supply chain industries.
A lifelong learner and teacher, Chaturvedi has taught classes at the University of Chicago for several years after completing his MSc in analytics from the University. He earned his Bachelor of Science degree from Northwestern University.
The University of Chicago Approach to Online Learning
Our online learning programs are crafted with your specific needs in mind. Courses 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 is an essential program, mandatory for all those who want to understand more about artificial intelligence and data science. It is the gateway to an urgent and continuous future."
"This program increased my confidence level around AI and ML knowledge and prepared me for the next level in my career in the AI ecosystem. I am now able to approach any AI project while keeping ethical value as an important consideration in mind when building algorithms."
