
Your Hands-On Guide to Databricks Data Engineering with PySpark and Spark SQL, including a 4-Part Course Project
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Azure Databricks and Spark SQL (Python)
Save on Azure Databricks and Spark SQL (Python) with a verified Udemy coupon (checked May 2026). See current price, availability and course details.
by Malvik Vaghadia · ⭐ 4.7 via Udemy · 30,386 students · English
$9.99$99.9990% OFF
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✓ 90% discount manually re-verified, not an estimate.
✓ Certificate + lifetime access included by Udemy.
⚠ Redemption-limited — can run out without notice.
Price history First-party data
Tracked since May 20, 2025 to May 19, 2026. Red dot = current price ($9.99) — CoursesWyn records the price on each sync.
Current price
$9.99
Original price
$99.99
Tracked since
May 20, 2025
Last checked
May 19
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on May 19, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
9.0
/ 10
Discount depth
90%
Udemy rating
4.7 / 5
Popularity
30,386 students
Tracking length
461 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
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May 20, 2025Listed by CoursesWyn — price recorded at $9.99Listed
May 19, 2026Coupon checked — checkout price $9.99 · listed until May 22Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | May 19, 2026 |
| Offer ends | Listed until May 22 |
| Provider | Udemy |
| Level | All Levels |
| Rating | 4.7 / 5 |
| Students | 30,386 |
| Content | 17 hours 30 minutes |
| Language | English |
| Requirements | Basic to intermediate SQL · Basic to intermediate Python |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
Key Topics Covered From the course description
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
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Coupon & redemption FAQ
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