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Complete Databricks & PySpark Bootcamp: Zero to Hero
Bestseller
Rating: 4.3 out of 5(606 ratings)
5,520 students

What you'll 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),

Course content

15 sections • 139 lectures • 16h 54m total length

  • Introduction0:47
  • Course Introduction2:28
  • Resources

Requirements

  • No prior Databricks experience required — we start from the basics
  • A basic understanding of SQL will be helpful (SELECT, JOIN, GROUP BY)
  • Enthusiasm to learn Data Engineering

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

Who this course is for:

  • Aspiring Data Engineers who want to start a career using Databricks, PySpark, and Delta Lake
  • Anyone preparing for Data Engineering roles or certifications involving Databricks,

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