Azure Databricks and Spark SQL (Python) — 90% Off Coupon

Your Hands-On Guide to Databricks Data Engineering with PySpark and Spark SQL, including a 4-Part Course Project

4.7 out of 5(27,245 students enrolled)Created by Malvik VaghadiaLast updated: 🌐 English

Key Takeaways — Course Overview

The following summarizes all verified data points for Azure Databricks and Spark SQL (Python), including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

Course Title: Azure Databricks and Spark SQL (Python)
Provider: Udemy (listed via CourseSpeak)
Instructor: Malvik Vaghadia
Coupon Verified On: January 16, 2026
Difficulty Level: All Levels
Category: Development
Subcategory: Databricks
Duration: 30h of on-demand video
Language: English
Access: Lifetime access to all course lectures and updates
Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
Top Learning Outcomes: How to use Databricks to build and run data engineering workflows · The principles of the Lakehouse architecture with Delta Lake · How to process data with Spark SQL and PySpark
Prerequisites: Basic to intermediate SQL · Basic to intermediate Python
Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).
Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Azure Databricks and Spark SQL (Python) gives you the following verified skills and competencies in Development:

How to use Databricks to build and run data engineering workflows .
The principles of the Lakehouse architecture with Delta Lake .
How to process data with Spark SQL and PySpark .
Best practices for Databricks compute, jobs, and orchestration .
How to apply governance with Unity Catalog and manage secure access .
Working with streaming pipelines using Structured Streaming and Lakeflow .
Applying concepts to real-world projects with modular code and version control .
Real World Scenarios.

Course Requirements & Prerequisites

The following background knowledge and tools are recommended before starting Azure Databricks and Spark SQL (Python). Students without these prerequisites may still enroll but should expect a steeper learning curve:

Basic to intermediate SQL
Basic to intermediate Python

About This Udemy Course

The following is the full official course description for Azure Databricks and Spark SQL (Python) as published on Udemy by instructor Malvik Vaghadia. It covers the curriculum structure, teaching methodology, and topic scope for this Development course:

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Is the Azure Databricks and Spark SQL (Python) Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeak.Last updated: January 16, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Azure Databricks and Spark SQL (Python) is a high-value resource for learners seeking to build skills inDevelopment. Taught by Malvik Vaghadia on Udemy, the 30h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $99.99 to $9.99, removing the primary financial barrier to enrollment.

What We Like (Pros)

  • Verified 90% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.7 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 27,245 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Azure Databricks and Spark SQL (Python):

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
JS
Josh Smith
Lead Course Reviewer, CourseSpeak
View credentials →

"Given the 90% price reduction and verified 4.7-star rating, Azure Databricks and Spark SQL (Python) represents one of the strongest value propositions currently available in Development on Udemy. Enrollment is strongly recommended while this coupon remains active."

Final Verdict: Worth It
This course offers exceptional value with current pricing

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

The coupon was last verified on January 16, 2026.Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

Course Rating Summary

Azure Databricks and Spark SQL (Python) Course holds an aggregate rating of 4.7 out of 5 based on 27,245 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.7
27,245 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: January 16, 2026.

Instructor Profile

The following section provides background information on Malvik Vaghadia, the instructor responsible for creating and maintaining Azure Databricks and Spark SQL (Python) on Udemy.

Azure Databricks and Spark SQL (Python) is taught by Malvik Vaghadia, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

Instructor Name: Malvik Vaghadia
Subject Area: Development
Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills (as described in the course curriculum on Udemy).

Frequently Asked Questions

The following questions and answers cover the most common queries about Azure Databricks and Spark SQL (Python), its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of January 16, 2026.

About the Author

Josh Smith - Udemy Coupon Expert

Josh Smith

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