Python for Data Engineers - GCP, Azure, and AWS
From Basics to Cloud: Python Essentials for Modern Data Engineers
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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
Description
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
Who this course is for:
- Anyone who want to learn and master Python fundamentals
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