Get all the skills and knowledge you need to become a data engineer. You’ll learn how to work with data architecture, data processing, and data systems. By the end, you’ll be able to build a unique data infrastructure, manage data pipelines and data processing, and maintain data systems.
In this path, you’ll master the mandatory technical skills, including Python programming, data pipelines, and data processing. You’ll also learn how to implement algorithms, how to work with multi-table databases using SQL, and key tools like pandas, NumPy, SQLite, MapReduce, and PostgreSQL.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
- Python Fundamentals
- Python Intermediate
- Programming Concepts with Python
- Algorithm Complexity
- SQL Fundamentals
- Intermediate SQL for Data Analysis
- Postgres for Data Engineers
- Optimizing Postgres Databases
- NumPy for Data Engineers
- Processing Large Datasets in Pandas
- Parallel Processing
- Data Structures Fundamentals
- Recursion and Trees
- Building a Data Pipeline
