ONLINE INTRODUCTION TO DATA ENGINEERING COURSE

Introduction to Data Engineering is an advanced course, which anyone can enroll in; However, we strongly recommend students only enroll if the following statements apply:

• - Proficiency in command line and general Python programming with an ability to  effectively use standard Python syntax and data structures to implement algorithms.
• - Understanding of the fundamentals of relational databases and proficiency in basic SQL syntax; the ability to write simple queries to extract information from relational databases.
• - Working familiarity with regression models and an understanding of foundational terminology/approaches in machine learning such as classification and unsupervised learning.
• - Students who have comfort with web scraping or obtaining data through application programming interfaces (APIs) will be able to pursue a larger range of project possibilities, though these skills aren’t necessary to succeed in the course. 

• - Students need a Github account, which they can sign up for easily (and for free) before class begins.

There is no application. To enroll in the Introduction to Data Engineering course, click here. Just be sure to do so by the deadline, which is 8pm ET on the Friday before the course start date. This deadline ensures that we can send students the information they’ll need to login and start class on day one.

Tuition for the Introduction to Data Engineering course is $3,500 for the Live Online format and $2,500 for the Online Flex format. Students can pay for the course in full or consider one of our financing options. We partner with Ascent to offer monthly repayment options for our students. Learn more by visiting Ascent.

Students who select the Live Online format are expected to be online from 11:00 am - 6:00 pm ET / 10:00 am - 5:00 pm CT / 8:00 am - 3:00 pm PT Monday through Friday for two weeks. This short immersive course schedule includes daily pair programming, lectures, independent project work, and a one-hour lunch break. In order to receive a certificate of completion, students must maintain attendance and achieve passing scores on both the project and assessments.

Students should also expect to spend time outside of these required class hours to review lectures, complete assignments, and work on their projects.

Students who pick the Online Flex course format are expected to complete 15-to-20 hours a week for four weeks. They will watch on-demand lectures and engage with instructors and teaching assistants live online during 1:1 sessions weekly.

No, we do not offer career support for our short immersive courses like we do for those in our bootcamps. However, Introduction to Data Engineering students will have access to our expansive and always-growing network of data professionals and will be made aware of networking events and job opportunities as they’re posted in Slack.

Our short immersive courses, including Introduction to Data Engineering, are taught by the same Data Science Instructors who teach our bootcamps. These highly-reviewed, qualified instructors bring a wealth of expertise with advanced work and educational backgrounds spanning finance, business, education, mathematics, neuroscience, engineering, and more.