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30-Day Python Interview Prep Challenge for Data Engineers

Build Real Python Confidence in 30 Days — Through Daily Hands-On Practice, Assignments, and Real-World Data Engineering Thinking

Course Summary

Most people try learning Python by watching random tutorials…

But when it’s time to actually write code on their own,
they freeze.

This challenge is designed differently.

The RADE™ 30-Day Python Challenge is a structured, execution-focused Python program built specifically for aspiring and working Data Engineers.

Over 30 days, you will gradually build strong Python fundamentals through:

  • Daily theory lessons
  • Hands-on coding exercises
  • Reflection-based assignments
  • Real-world Data Engineering examples
  • Assignment submissions
  • Accountability-driven learning

This is not a passive “watch and forget” course.

The goal is simple:

If you consistently spend just 30 minutes to 1 hour a day,
you should become genuinely comfortable writing and understanding Python by the end of the challenge.

You will learn:

  • Python fundamentals
  • Variables, data types, and control flow
  • Functions and modular thinking
  • Lists, dictionaries, tuples, and sets
  • String manipulation and problem solving
  • Exception handling
  • Memory management and generators
  • Lambda functions and decorators
  • File handling with CSV and JSON
  • Chunked processing patterns
  • Python ETL design patterns
  • Data Engineering-oriented coding approaches

Most importantly…

You will begin thinking like a developer —
not just someone memorizing syntax.

This challenge is ideal for:

  • SQL Developers
  • Informatica Developers
  • ETL Developers
  • Data Analysts
  • Aspiring AWS Data Engineers
  • Anyone transitioning into modern Data Engineering

By the end of the 30 days, you will have:
✅ Built daily coding consistency
✅ Developed Python problem-solving confidence
✅ Understood how Python is used in real Data Engineering workflows
✅ Completed assignments and practical exercises
✅ Created a strong foundation for PySpark, AWS Glue, Airflow, and modern cloud data engineering

This challenge rewards execution.

Only join if you are serious about completing it.

Course Curriculum

Sachin Chandrashekhar

Lead Data Engineer @ World's #1 Airline

Hema Srinivas

Working as a Big Data Emgineer with 12 years of experience

John Smith

Developer

Highly Recommended Course. Easy to Understand, Informative, Very Well Organized. The Course is Full of Practical and Valuable for Anyone who wants to Enhance their Skills. Really Enjoyed it. Thank you!!

Course Pricing

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