Learn PySpark, Data Engineering & AI — for free
Structured tutorials, hands-on code examples, interview prep and an online compiler. Everything a data professional needs, in one place.
A free learning platform built for
data professionals
Whether you're starting with Python or scaling data systems with Spark and AI — we cover the full path, structured for real careers.
Learn Structured Content
500+ tutorials organised by technology and difficulty. Start from the basics and progress to production-grade Spark, ML, and AI workflows.
Build with Real Code
Every tutorial includes runnable code examples. Use our online PySpark and Python compiler to practise without any local setup.
Get Hired Faster
200+ interview Q&As for Spark, Python, SQL, and ML — built around real hiring scenarios used by data teams at top companies.
Where are you right now?
Pick your current level and we'll show you the best place to start.
Explore by Technology
Dive into structured tutorials across the tools that data and AI teams use every day.
PySpark
Distributed data processing at scale
120+ Tutorials🔧Data Engineering
Build robust ETL pipelines and data stacks
95+ Tutorials🧠Machine Learning
Predictive models and algorithms
150+ Tutorials🤖Artificial Intelligence
Deep learning and neural networks
85+ Tutorials🐍Python
Core programming fundamentals
200+ Tutorials💬NLP & Gen AI
Language models, LLMs and AI apps
75+ TutorialsChoose the role you want to grow into
Follow a structured path that maps to how modern data teams actually work.
Data Engineer Path
Go from Python and SQL fundamentals to Spark, ETL pipelines, lakehouse patterns, and interview readiness.
Analytics Engineer Path
Learn SQL, data modeling, metrics thinking, and the workflows that power trusted reporting.
ML Engineer Path
Build a practical machine learning foundation with feature engineering, evaluation, and deployment thinking.
AI Engineer Path
Move from LLM basics to RAG, agents, evaluation, and production AI application design.
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Real feedback from learners who used PySpark.in to land jobs and level up their skills.
"PySpark.in helped me go from zero Spark knowledge to cracking my data engineering interview in under 3 months. The structured tracks are exactly what was missing from other resources."
"The interview Q&A section is gold. Every question I was asked in my TCS ML round was covered here. The explanations go beyond definitions — they explain the "why"."
"Being able to run PySpark code directly in the browser without any setup was a game-changer. I could test concepts immediately while reading tutorials."
"I love how the content goes from Python basics all the way to GenAI without jumping between ten different sites. PySpark.in is my single learning hub now."
Run PySpark & Python
right in your browser
No installation. No configuration. Just write code and run it. Perfect for trying out concepts immediately after reading a tutorial.
Open Compiler FreeEverything you need to excel
In-Depth Tutorials
Master PySpark, data engineering pipelines, and distributed computing with step-by-step guides from basics to advanced concepts.
Explore TutorialsExpert Blog Posts
Stay updated with practical trends, field-tested patterns, and real-world insights from working practitioners.
Read BlogsInterview Preparation
Practice Spark, Python, SQL, and ML interview questions built around real hiring scenarios and implementation patterns.
Practice NowFollow a clear sequence,
not a content maze
The fastest way to get strong is to learn in the right order.
Foundations
Start with Python, SQL, and the data habits that make later topics much easier.
Scale and Transform
Move into Spark, joins, aggregations, DataFrames, and real ETL-style workflows.
Production Systems
Learn how data platforms behave in the real world with pipelines, reliability, and architecture tradeoffs.
Career Acceleration
Layer in interview prep, portfolio-style projects, and role-specific tracks for your next step.
Trusted by learners for practical content
100% Free Forever
All tutorials, blogs, interview questions, and the online compiler are free to access with no paywall.
Run Code in Browser
Execute PySpark and Python code instantly with the online compiler so learning starts without setup friction.
Interview-Ready Content
Practice Spark, Python, SQL, and Machine Learning questions built for real technical hiring loops.
Structured Learning Paths
Follow guided role-based tracks instead of bouncing between random pages and disconnected tutorials.
Practical Learning
The platform focuses on useful workflows, not just definitions, so concepts connect back to real work.
From Beginner to Advanced
Start with foundations and move steadily into Spark systems, machine learning, and modern AI topics.
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Join thousands of learners building real skills in PySpark, Python, ML, and AI.