Ultimate Python Bootcamp for Data Domain in Just
30-Days

Master Python for Data Engineering, Analysis, and Automation with hands-on projects, real-world use cases, and interview-focused training — all in just 30 days.

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18+ Hours of video content

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14 Modules

Register today for ₹1,499.00

5K+

Happy Learners

4.9+ (656 ratings)

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What is this Course?

This is a self-paced, beginner-friendly Python Bootcamp designed specifically for data roles like Data Engineer, Analyst, and Scientist. You'll learn Python not just for syntax, but for solving real-world data problems—through practical tasks, APIs, file handling, and automation.

What will I Learn?

You’ll go from Python basics to building real data workflows—like reading files, calling APIs, writing clean functions, and handling errors. Everything is taught with a data domain focus, so you're ready for interviews and actual job tasks, not just coding exercises.

Never Burnout Ever Again!

No more toxic grind culture. This bootcamp is built for consistency and clarity—not pressure. Learn at your own pace, follow a proven 30-day roadmap, and build skills without overwhelm. Perfect for working professionals and college students alike.

Course curriculum

4 Module

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8 Lessons

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13 Quizes/Assignments

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18+ hours

Welcome

Welcome to the course!

WEEK 1: Python Foundations in Databricks

Goal - Learn to write clean, reusable Python code using loops, functions, and exception handling for real data tasks.

Introduction to Databricks & Python Fundamentals

Loops, Functions & Exception Handling

Week 1 Quiz -15 Python & Databricks Interview-Level Questions

Assignment 1: Python Basics & Data Types

Assignment 2 : Exception Handling in Python

Assignment 3: Databricks Notebook Operations

WEEK 2: Python for Data Handling & APIs

Goal - Master file handling and API integration to fetch, store, and manage data efficiently in Databricks.

File Handling & Working with APIs in Databricks

SQL + Python in Databricks

Week 2 Quiz - 15 Tricky Questions (MCQ Format)

Assignment 1: File Handling in Databricks - Reading, Processing & Storing Structured Data

Assignment 2: Fetching & Storing API Data in Databricks

WEEK 3: Data Manipulation & Big Data Processing

Goal: Learn PySpark to process large-scale data with filtering, joins, transformations, and write operations in Databricks.

Data Manipulation with Pandas in Databricks

Introduction to PySpark in Databricks

WEEK 3 Quiz : Data Processing & Big Data Handling

Assignment 1: Cleaning & Processing Employee Salary Data

Assignment 2: Feature Engineering on Customer Purchase Data

WEEK 4: Advanced Python, Automation & Final Project

Goal: Build a complete data project and get interview-ready with live mock sessions and job-focused resume strategies.

Automating Data Pipelines in Databricks

Final Project + Resume & Interview Prep

Week 4 Quiz - 15 Tricky Questions (MCQ Format)

Assignment 1: Automating an ETL Pipeline in Databricks

Assignment 2: Optimizing an ETL Pipeline for Performance

Master Python for Data Roles in just 30-Days!

Instructed by Anurag Srivastava

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Lifetime Access of the Course

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Learn Anytime, Anywhere

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Guaranteed Best Pricing from the Market

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24/7 Instant Email Support

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Hurry Up! Reserve your seat before June 24, 2025

Testimonial

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I attended Anurag’s job search webinar, and it was more than just a regular session. He shared a smart, job focused strategy—emphasizing that we don’t need to do everything, just do what really matters. He generously gave away free materials, along with a detailed monthly plan—it was like spoon-feeding everything we need. I’m excited to start implementing it. Highly recommend!

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Meghana Sharma

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Anurag offered an exceptional learning experience. I gained confidence and skills that landed me a great role in the industry.

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Prerna Vashisht

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Thank you, Anurag Srivastava, for an excellent bootcamp on 'Learn Python from Scratch.' The hands-on approach made learning both practical and enjoyable. I gained real confidence in my Python skills thanks to your clear and engaging teaching style!

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Vanshika Guliani

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Honestly, it felt less like a session and more like a private mentorship. Clear, actionable, and super motivating! The LinkedIn hacks were absolutely brilliant

S

Sai Prasad Debata

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Honestly, it felt less like a session and more like a private mentorship. Clear, actionable, and super motivating! The LinkedIn hacks were absolutely brilliant.

D

DIPANJAN SAHA

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It was really a helpful session for me and anurag really motivated me towards my next step as i was stuck at one place since 3 months. If in future i found myself at the place again i would definitely reach out to him for help. Thanks bro.

A

Anuvanshika

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Master Python for Data Roles in just 30-Days!

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Register Today

ATTENTION: Everyone who enrolls before June 12, 2025 will get access to a special live session where hidden bonuses will be revealed. Some Bonus is for all, no matter when you join.

Frequently Asked Questions

Is this course self-paced?

Yes, 100% self-paced. You can learn anytime, at your convenience, without any deadlines.

Is this course beginner-friendly?

Yes, it's designed for complete beginners. You’ll learn everything from scratch — no prior experience required.

What tools and tech will I learn?

You’ll work hands-on with SQL, Python, Pandas, PySpark, Delta Lake, Databricks, PandasAI, and more — all focused on real job work.

Is there any certification?

Yes, you'll get a certificate of completion. But more importantly, you’ll have job-ready skills and real projects to showcase.

Will I build real projects?

Yes. You’ll complete end-to-end projects including data cleaning, ETL pipelines, and dashboards — all added to your GitHub portfolio.

How is this different from other courses?

This is not just video lectures. It’s a practical, structured, interview-focused bootcamp taught by a working Data Engineer.

How is this different from other courses?

Absolutely. The entire course is designed around real-world job requirements — from tools and projects to interview preparation. If you follow the roadmap and complete the assignments, you’ll be fully prepared for entry-level Data Engineering roles.