Over 30 hours of video lessons, filled with concepts and live examples covering all major areas of data processing and engineering.
Tons of exercises and projects that replicate the real-life data engineering process. You will learn how to assess big data technology based on data requirements.
Ask questions day or night. Post your projects to get feedback. Share resources and learn from your fellow students.
All the course videos and assignments are available for offline use. You also have lifetime access to the curriculum, which is regularly updated.
We look at the problems with existing infrastructure, the different types of data engineering systems and what are the most common requirements and concerns.
Topics include: big data systems, scaling, parallel processing, Hadoop, MapReduce, Parquet and HDFS.
30 hours of video lessons, 200 hours of assignments and 100 hours for the capstone project.
You should have a strong command of Python, SQL, and the Command Line. You can learn these subjects for free via Codecademy.
We'll be posting project walkthroughs on YouTube and Medium in the coming months.
If you need a custom invoice, syllabus, letter of acceptance or certificate of completion, simply email me.
Yes, as soon as you sign up, you will get immediate access to the entire video series and an invitation to the student community.
Yes, all students have lifetime access to the course. You can start the course the minute you buy it, or a year later – it's up to you.
This course was built by a lean team of industry professionals. We all enjoy teaching and learning new things, so we thought we could make something amazing to help fill a major gap in the technology space.
Data Engineer @ Tweag
Senior Data Engineer @ Citi
Consulting Software Engineer
If you need to learn data engineering fast, there’s no better way to do it than with personal advice and one-on-one technical feedback.
The Mentorship Plan is for students who need to up their skills as quickly and efficiently as possible. While all students will have access to feedback and reviews in the Student Community, the Mentorship students will also get six one-on-one sessions over Skype, where we’ll screen share code you’re working on and zoom in on the topics that will personally help you the most.
These are example questions you might ask: