This course is designed to help you build a strong foundation in Python for Data Engineering. You’ll learn how to work with data using Python, from the basics of programming to handling large datasets and building data pipelines.
By the end of this course, you will be able to:
- Understand Python fundamentals for data handling
- Work with files, APIs, and databases
- Process structured & unstructured data (CSV, JSON, etc.)
- Use libraries like Pandas, NumPy, PySpark for large-scale data operations
- Build ETL pipelines and automate workflows
- Apply best practices in real-world data engineering projects
Whether you are a beginner in Python or aiming to step into a Data Engineering career, this course gives you the practical skills and hands-on projects needed to succeed.
Course Instructor
Module 1: Introduction & Basics
Course Overview & Career Path in Data Engineering
Introduction to Data Engineering & Real-World Use Cases
Python Refresher (Variables, Data Types, Control Statements)
Module 2: Python for Data Handling
Working with Files (CSV, JSON, XML)
Error Handling & Logging in Python