Databricks Certified Data Engineer Associate - Preparation
★ 4.5 rated · $11.99
Master SQL, Python, and Apache Spark (PySpark) with Hands-On Projects using Databricks on Google Cloud
$12.99 with coupon (list $99.99 — save $87.00, 87% off)
Coupon Verified: December 18, 2025 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the IT & Software skills on the syllabus match what you actually want to learn. The regular price for Data Engineering for Beginners: Learn SQL, Python & Spark on Udemy is $99.99. With the coupon code on this page, that falls to $12.99 — a saving of $87.00, or 87% off the standard rate Spread across 56h of on-demand video, that works out to roughly $0.23 per hour of content — cheaper than a single chapter of most printed IT & Software textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Durga Viswanatha Raju Gadiraju and Vinay Gadiraju walk you through setup Environment to learn SQL and Python essentials for Data Engineering, database Essentials for Data Engineering using Postgres such as creating tables, indexes, running SQL Queries, using important pre-defined functions, etc, and data Engineering Programming Essentials using Python such as basic programming constructs, collections, Pandas, Database Programming, etc — skills meant to be used, not just watched. It has already been taken by 103,253 students and holds a 4.2-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Laptop with decent configuration (Minimum 4 GB RAM and Dual Core); Sign up for GCP with the available credit or AWS Access. Best suited to learners who already have footing in IT & Software. Plan for roughly 56h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Data Engineering for Beginners: Learn SQL, Python & Spark — taken from the official Udemy syllabus for IT & Software learners.
Setup Environment to learn SQL and Python essentials for Data Engineering.
Database Essentials for Data Engineering using Postgres such as creating tables, indexes, running SQL Queries, using important pre-defined functions, etc.
Data Engineering Programming Essentials using Python such as basic programming constructs, collections, Pandas, Database Programming, etc.
Data Engineering using Spark Dataframe APIs (PySpark) using Databricks. Learn all important Spark Data Frame APIs such as select, filter, groupBy, orderBy, etc.
Data Engineering using Spark SQL (PySpark and Spark SQL). Learn how to write high quality Spark SQL queries using SELECT, WHERE, GROUP BY, ORDER BY, ETC.
Relevance of Spark Metastore and integration of Dataframes and Spark SQL.
Ability to build Data Engineering Pipelines using Spark leveraging Python as Programming Language.
Use of different file formats such as Parquet, JSON, CSV etc in building Data Engineering Pipelines.
What you need before enrolling in Data Engineering for Beginners: Learn SQL, Python & Spark — prerequisites as listed by the instructor on Udemy.
Laptop with decent configuration (Minimum 4 GB RAM and Dual Core)
Sign up for GCP with the available credit or AWS Access
Setup self support lab on cloud platforms (you might have to pay the applicable cloud fee unless you have credit)
CS or IT degree or prior IT experience is highly desired
The full official description of Data Engineering for Beginners: Learn SQL, Python & Spark — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on December 18, 2025.
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