Data Engineer
A data engineer builds the pipelines to connect data input to analysis.
Includes Python 3, SQL, pandas, PySpark, Git, MongoDB, and more.
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Skill level
BeginnerTime to complete
26 WeeksCertificate of completion
YesPrerequisites
None
About this career path
Data Engineers make data usable and are essential to the field of Data Science. In this Career Path, you’ll learn how to create robust and resilient data pipelines to connect data sources to analytics tools. By the time you’re done, you’ll have the well-rounded skills needed to enter this in-demand job market.
Syllabus
17 units • 67 lessons • 59 projects • 58 quizzes- 1
Welcome to the Data Engineer Career Path
Discover what you will learn on your journey to becoming a Data Engineer!
- 2
Python Fundamentals for Data Engineers
Learn the fundamentals of Python, and build your data engineering foundation.
- 3
SQL Fundamentals for Data Engineers
Learn how to create, manage, and protect relational databases with SQL.
- 4
Python Pandas for Data Engineers
Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis.
- 5
Advanced SQL for Data Engineers
Keep building your SQL skills with advanced techniques and hands-on practice.
- 6
Data Wrangling, Cleaning, and Tidying
Clean, well-structured data is essential to data science but cleaning data requires both a keen eye and technical skills. Develop both here!
- 7
Getting Started Off-Platform for Data Engineers
Learn how to do data engineering projects on your own computer locally!
Hands-on learning
Don't just watch or read about someone else coding — write your own code live in our online, interactive platform. You'll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this career path
- Project
Block Letters
Display your initials on the screen in block letters and create an ASCII art. - Project
Receipts for Lovely Loveseats
Keep receipts for your lovely loveseats. Programming is a treat with this sweet suite of feats! Use strings and numbers to save a catalog of furniture, then perform concatenation and math calculations to create a receipt. - Project
Magic 8-Ball
We’ve learned about and explored a powerful tool in Python — control flow! It’s so powerful, in fact, that it can be used to tell someone’s fortune.
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
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