Master Python & PySpark: From Basics to Advanced

Master Python and PySpark with a practical, industry-focused approach designed for aspiring and working Data Engineers.

This course covers everything from Python fundamentals to advanced PySpark concepts through hands-on coding, real-world ETL scenarios, projects, and interview preparation.

You'll learn how Python and PySpark are used to build scalable data pipelines, process large datasets, and solve real business problems. Every concept is explained with practical examples, coding exercises, and industry use cases.

What You'll Learn

Python from beginner to advanced

Variables, data types, loops, functions, and modules

Object-Oriented Programming (OOP)

File handling and exception handling

Lambda functions, decorators, generators, and iterators

APIs, JSON, and data processing

PySpark architecture and Spark fundamentals

RDDs, DataFrames, and Spark SQL

Data transformations and actions

Joins, aggregations, window functions, and performance optimization

Reading and writing data in different file formats

Real-world ETL pipeline development

Industry-based coding scenarios

Interview coding questions and theory preparation

Course Includes

Live one-on-one mentoring

Hands-on coding sessions

Real-world data engineering scenarios

Practice notebooks

Assignments and solutions

Interview preparation

Notes and cheat sheets

Doubt-solving during sessions

Who Should Enroll?

Beginners starting their data engineering journey

Students preparing for placements

Working professionals looking to upskill

Data Engineers preparing for interviews

Anyone who wants to master Python and PySpark with practical experience

Session Details

Format: Live 1-on-1 Sessions

Mode: Online

Fee: ₹600 per hour

Personalized Learning: Sessions are customized based on your learning goals, whether you want to learn from scratch, work on projects, or prepare for interviews.