| Career track |
| | | | Data Engineer with Python |
| Courses |
| | | Data Engineering for Everyone |
| | | Introduction to Data Engineering |
| | | Streamlined Data Ingestion with pandas |
| | | Writing Efficient Python Code |
| | | Writing Functions in Python |
| | | Introduction to Shell |
| | | Data Processing in Shell |
| | | Introduction to Bash Scripting |
| | | Unit Testing for Data Science in Python |
| | | Object-Oriented Programming in Python |
| | | Introduction to Airflow in Python |
| | | Introduction to PySpark |
| | | Building Data Engineering Pipelines in Python |
| | | Introduction to AWS Boto in Python |
| | | Introduction to Relational Databases in SQL |
| | | Database Design |
| | | Introduction to Scala |
| | | Big Data Fundamentals with PySpark |
| | | Cleaning Data with PySpark |
| | | Introduction to Spark SQL in Python |
| | | Cleaning Data in SQL Server Databases |
| | | Transactions and Error Handling in SQL Server |
| | | Building and Optimizing Triggers in SQL Server |
| | | Improving Query Performance in SQL Server |
| | | Introduction to MongoDB in Python |