Udemy – Python for Data Engineers – GCP, Azure, and AWS

What you’ll learn

• Master Python fundamentals including data types, structures, control flow, functions, and object-oriented programming tailored for data engineering use cases.
• Work with files and data sources commonly used in data engineering
• Write efficient, modular, and scalable code that aligns with real-world data engineering standards and practices.
• Learning by doing

Are you aspiring to become a Data Engineer or looking to sharpen your Python skills ? This course is designed to teach you Python programming from the ground up, with a specific focus on real-world data engineering use cases

Chapter 1: Core Python Data Types

• Working with Strings
• Python Operators (Arithmetic, Comparison, Logical, etc.)
• Numbers: Integers and Floats
• Boolean Logic in Python
• Understanding None Type

Chapter 2: Built-in Data Structures

• Lists: Creation, Indexing, and Operations
• Tuples: Immutable Sequences
• Dictionaries: Key-Value Mappings
• Sets: Unique Collections and Operations

Chapter 3: Programming Constructs in Python

• Conditional Statements: if, elif, else
• Looping: for and while Loops
• Exception Handling: try, except, finally
• File Handling: Reading and Writing Files

Chapter 4: Modular and OOP in Python

• Creating and Using Functions
• Writing Reusable Code with Functions
• Introduction to Object-Oriented Programming
• Creating Classes and Objects

What Makes This Course Unique?

• Tailored specifically for Data Engineers working in cloud platforms.
• Hands-on examples with real data formats like CSV, JSON, and log files.
• Practical coding exercises aligned with cloud data services like BigQuery, S3, Azure Blob Storage, and more.
• Builds a strong foundation for future work in ETL, Data Lakes, Data Warehouses, and workflow orchestration.
• covering from basics to advanced for ease