Python for Data Engineers - GCP, Azure, and AWS

Name: Python for Data Engineers - GCP, Azure, and AWS
Rating: 3.8 (9 reviews)

From Basics to Cloud: Python Essentials for Modern Data Engineers

Created bySaidhul Shaik

Last updated 6/2025

English

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

Course content

1 section • 6 lectures • 4h 53m total length

Class Notebook0:01
Python Introduction - what ? why ?45:42
Python Datatypes : String, Int, Float, Bool, None1:12:36
Python Data Structures : List, Tuple, Dict and Set51:35
Python Loops : For and While Loop - Exception Handling55:04
Python Functions and Classes1:08:42

Requirements

No prior coding experience is required – this course is beginner-friendly.

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