Current

Beginner

Data Engineering for Beginners: Learn SQL, Python & Spark

Udemy · Durga Viswanatha Raju Gadiraju · Updated March 2026

Platform rating

4.4/5

AI Tutor Rating

8.2/10

Duration

56 hours video

Classes

623

Master SQL, Python, and Apache Spark (PySpark) with Hands-On Projects using Databricks on Google Cloud.

What you'll get

Process big data with Apache Spark and PySpark

Build scalable ETL/ELT data pipelines

Work with Databricks on cloud platforms

Course Curriculum

12 chapters

Fit

Best for

Software Engineers

DevOps/MLOps Engineers

Data Engineers

Platform Engineers

Not ideal for

Experts seeking deep specialization

Prerequisites & pricing

Prerequisites

None

Pricing

$15.99

Certification

Certificate

Growth Leverage: Completing this course positions you for roles such as Data Engineer, ETL Developer, or Business Intelligence Analyst, enabling you to pursue certifications like the Google Cloud Professional Data Engineer and access job opportunities in data-driven companies across various industries.

Skills Value: The skills learned, particularly in SQL, Python, and Apache Spark, are highly sought after, with data engineers earning an average salary of $110,000 to $140,000 annually, as they are essential for creating scalable data solutions and addressing complex data processing challenges.

SQL

Python

PySpark

Databricks

GCP

Data Engineering

ShareCompare

Add to StackGo to Course

Alternatives to Data Engineering for Beginners: Learn SQL, Python & Spark

Compare

Current

Build AI Apps with Azure Database for PostgreSQL

Microsoft Learn (AI & Azure AI) · Microsoft

4.7

8.7/10

6 hours 50 minutes

Build AI applications using Azure Database for PostgreSQL. Cover semantic search, embeddings, and AI-powered database applications.

Free

ViewAddCompare

By the end of this class, you will not only have a solid understanding of data science and analytics but also be able to quickly learn new libraries and tools.

This course covers everything from setting up your working environment with Anaconda and Jupyter Notebook to mastering the core features of Pandas.

Introduction: Do you do data science with Excel and then Python? And welcome to a Skillshare crash course where you will learn the fundamentals of Python for ...