Azure Databricks & Spark For Data Engineers:Hands-on Project — 90% Off Coupon

Real World Project on Formula1 Racing using Databricks, PySpark, Spark SQL, Delta Lake, Unity Catalog,Azure Data Factory

⭐ 4.6 out of 5(159,914 students enrolled)Created by Ramesh RetnasamyLast updated: 🌐 English

Key Takeaways — Course Overview

The following summarizes all verified data points for Azure Databricks & Spark For Data Engineers:Hands-on Project, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

•Course Title: Azure Databricks & Spark For Data Engineers:Hands-on Project
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Ramesh Retnasamy
•Coupon Verified On: April 2, 2026
•Difficulty Level: All Levels
•Category: IT & Software
•Subcategory: Databricks
•Duration: 20h 30m 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: You will learn how to build a real world data project using Azure Databricks and Spark Core. This course has been taught using real world data. · You will acquire professional level data engineering skills in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2 and Azure Data Factory (ADF) · You will learn how to create notebooks, dashboards, clusters, cluster pools and jobs in Azure Databricks
•Prerequisites: All the code and step-by-step instructions are provided, but the skills below will greatly benefit your journey · Basic Python programming experience will be required
•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 & Spark For Data Engineers:Hands-on Project gives you the following verified skills and competencies in IT & Software:

✓You will learn how to build a real world data project using Azure Databricks and Spark Core. This course has been taught using real world data. .
✓You will acquire professional level data engineering skills in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2 and Azure Data Factory (ADF) .
✓You will learn how to create notebooks, dashboards, clusters, cluster pools and jobs in Azure Databricks .
✓You will learn how to ingest and transform data using PySpark in Azure Databricks .
✓You will learn how to transform and analyse data using Spark SQL in Azure Databricks .
✓You will learn about Data Lake architecture and Lakehouse Architecture. Also, you will learn how to implement a Lakehouse architecture using Delta Lake. .
✓You will learn how to create Azure Data Factory pipelines to execute Databricks notebooks .
✓You will learn how to create Azure Data Factory triggers to schedule pipelines as well as monitor them. .
✓You will gain the skills required around Azure Databricks and Data Factory to pass the Azure Data Engineer Associate certification exam DP203 .
✓You will learn how to connect to Azure Databricks from PowerBI to create reports .
✓You will gain a comprehensive understanding about Unity Catalog and the data governance capabilities offered by Unity Catalog. .
✓You will learn to implement a data governance solution using Unity Catalog enabled Databricks workspace.

Course Requirements & Prerequisites

The following background knowledge and tools are recommended before starting Azure Databricks & Spark For Data Engineers:Hands-on Project. Students without these prerequisites may still enroll but should expect a steeper learning curve:

•All the code and step-by-step instructions are provided, but the skills below will greatly benefit your journey
•Basic Python programming experience will be required
•Basic SQL knowledge will be required
•Knowledge of cloud fundamentals will be beneficial, but not necessary
•Azure subscription will be required, If you don't have one we will create a free account in the course

About This Udemy Course

The following is the full official course description for Azure Databricks & Spark For Data Engineers:Hands-on Project as published on Udemy by instructor Ramesh Retnasamy. It covers the curriculum structure, teaching methodology, and topic scope for this IT & Software course:

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Compare Similar Courses

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Is the Azure Databricks & Spark For Data Engineers:Hands-on Project Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeak.•Last updated: April 2, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Azure Databricks & Spark For Data Engineers:Hands-on Project is a high-value resource for learners seeking to build skills inIT & Software. Taught by Ramesh Retnasamy on Udemy, the 20h 30m 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 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 159,914 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 & Spark For Data Engineers:Hands-on Project:

  • The depth of IT & Software 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 4.6-star rating, Azure Databricks & Spark For Data Engineers:Hands-on Project represents one of the strongest value propositions currently available in IT & Software 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 April 2, 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 & Spark For Data Engineers:Hands-on Project Course holds an aggregate rating of 4.6 out of 5 based on 159,914 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.6
159,914 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: April 2, 2026.

Instructor Profile

The following section provides background information on Ramesh Retnasamy, the instructor responsible for creating and maintaining Azure Databricks & Spark For Data Engineers:Hands-on Project on Udemy.

Azure Databricks & Spark For Data Engineers:Hands-on Project is taught by Ramesh Retnasamy, a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Ramesh Retnasamy
•Subject Area: IT & Software
•Teaching Approach: Practical, project-based instruction focused on real-world application of IT & Software 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 & Spark For Data Engineers:Hands-on Project, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of April 2, 2026.

About the Author

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