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Complete Databricks & PySpark Bootcamp: Zero to Hero (Udemy.com)

Master Databricks and PySpark for Data Engineering, SQL, Delta Lake, and Real-World ETL Projects

Created by: manish tiwari

Last updated December 2025

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What you will learn

  • Build end-to-end Data Engineering pipelines in Databricks using PySpark and SQL
  • Understand and implement the Medallion Architecture (Bronze, Silver, Gold layers) for clean and reliable data
  • Perform data cleaning, transformations, and aggregations with PySpark for real-world projects
  • Create Dashboards & KPIs in Databricks SQL and visualize insights
  • Gain hands-on experience with realistic datasets & projects to prepare for Data Engineering roles
  • Ingest and transform data using Auto Loader, Delta Live Tables (DLT),

How it compares

Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:

  • Rating4.3 out of 5higher than 20% of them
  • Reviews894#416 of 1,183 by number of reviews
  • Length16.9 hourslonger than 86% of them
  • Last updatedDecember 2025more recently than 61% of them

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Course Description

Welcome to the Complete Databricks & PySpark Bootcamp: Zero to Hero

Do you want to become a job-ready Data Engineer and master one of the most in-demand platforms in the industry?
This course takes you from beginner to advanced level in Databricks, PySpark, and Delta Lake by building real-world data engineering projects step by step.

Whether you’re new to Databricks or already have some experience, this bootcamp will give you the hands-on skills to design, build, and optimize ETL pipelines on the cloud.

What you’ll learn in this course

  • Master Databricks and the Medallion Architecture (Bronze, Silver, Gold layers)

  • Build end-to-end ETL pipelines using PySpark and SQL

  • Work with Delta Lake for ACID transactions, schema evolution, and time travel

  • Ingest and process data using Auto Loader and Delta Live Tables (DLT)

  • Clean messy data with PySpark transformations and enforce data quality rules

  • Aggregate, transform, and load data into Gold tables for analytics & dashboards

  • Visualize business KPIs in Databricks SQL dashboards

  • Gain hands-on experience with real-world projects (Retail, Banking, IoT, HR, E-Commerce, Insurance, etc.)

Projects you’ll build

  • Retail Sales Analytics → Build ETL pipeline & KPIs (Revenue, AOV, Return Rate)

  • And many more real-world industry projects...

Who this course is for

  • Aspiring Data Engineers looking to start a career with Databricks & PySpark

  • SQL Developers / Analysts transitioning into Big Data & Cloud Data Engineering

  • Python Developers who want to expand into ETL pipelines and Spark

  • Cloud Engineers (AWS, Azure, GCP) who want to integrate Databricks into their workflows

  • Students and Beginners in Data Engineering who want portfolio-ready projects

Why take this course?

  • Learn by doing real projects — not just theory

  • Covers batch + streaming pipelines for modern data engineering

  • Includes best practices & optimizations used by top companies

  • Uses free Databricks Community Edition — so no paid cloud setup required

  • Prepares you for Data Engineer interviews & certifications

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Instructor Details

manish tiwari

Hi I am manish and I am a full time  data engineer and  having 5+ years of IT experiences delivering some of the large data projects for industries ranging from technology, security, finance, retail . The projects I delivered were both on cloud platforms such as Azure and AWS as well as On-premises.

I have a passion for teaching and I take great pride in the success of my students. I have a different style of teaching than that of a standard I.T. trainer. My courses are based on real world projects. My courses will, not only explain the concepts, but also make them stick by using real world projects and examples. Throughout the course I give guidance on good practices and guide you towards building a production ready application. I strongly believe that once you have completed my courses you will have sufficient experience and knowledge required to start a real time project on that technology. Of course you may require further learning to progress in your career, but I will give you the required foundation and put you in the right direction to gain additional knowledge.

I value your time as much as I do mine. So, I keep my courses to the point and my courses have been taught in simple English without any jargons.

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Reviews

4.3

894 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Vigneshwara Vellala Ramachandran on 8/27/2026

Lacks proper communication skills and feels like reading slides , might be difficult for beginners. will update after completing the course if it's useful

By Jaya Shree Reddy Gopireddy on 8/5/2026

Course is good, end to end project demo would have made it more practical and useful

By Pranam Shetty on 6/23/2026

very detailed explanations followed by detailed videos. and one good thing is not asking for reviews after every video like some other creators - this speaks a lot about this creator having faith in his content. Good job.

By Issouf KABRE on 6/6/2026

I had a project and supposed to use Databricks as process engine. I nether used Databricks before that project. so I subscribed to this course and it helped me a lot to be able to handle my first project in Databricks.

By Suresh G on 5/23/2026

Initially i thought the course may be average. But after watching excellent examples and step by step explanation i wondered and satisfied with content and the style of explanation. Especially for beginners like me. Thanks Sir.

By Branislav Osif on 5/16/2026

I wanna highlight the down-to-earth human approach to teaching Databricks. What especially helped me were not slides but the notepad like explanations.

By Joshua Chen on 5/1/2026

This course taught me all about what Databricks can do along with AI to help me code, create tables, etc. along with getting help using the Genie code.

By Akhil Yadav on 2/24/2026

The instructor’s command over English affects the flow and concentration at times, which impacts the overall clarity of the explanations. Additionally, the course relies on basic examples; more challenging, real-world scenarios would have made the content more engaging.

By Naganandini on 12/29/2025

It's an excellent course with so many topics covered be it sql, python, pyspark, almost entire databricks, github, interview questions!! Definitely given more for the amount paid!! For beginners it is very good... and for experienced people can take it as revision. Might need to add concepts of Time travel, merge stmnt, multiple aggregates in pyspark, optimization of query using DAG.... these will almost complete all the topics needed I think. I really appreciate Manish for putting such streamlined content and his efforts are commendable. Big thanks to u :)

By Sandeep Agarwal1 on 12/21/2025

You explained things in very simple way, Excellent work done, Keep it up. Need to work on un-necessary repetition of words. Giving you 5 start for your efforts.

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Overall Score : 86 / 100