CoursesWyn/IT & Software/Data Engineering for Beginners: Learn SQL, Python & Spark
Data Engineering for Beginners: Learn SQL, Python & Spark — Udemy course thumbnail

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

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Data Engineering for Beginners: Learn SQL, Python & Spark

Save on Data Engineering for Beginners: Learn SQL, Python & Spark with a verified Udemy coupon (checked December 2025). See current price, availability and course details.

$12.99$99.9987% OFF
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87% discount manually re-verified, not an estimate.
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Price history First-party data

Tracked since July 4, 2025 to December 18, 2025. Red dot = current price ($12.99) — CoursesWyn records the price on each sync.
Current price
$12.99
Original price
$99.99
Tracked since
July 4, 2025
Last checked
Dec 18
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on December 18, 2025. Prices are always confirmed at checkout on the provider’s site.

Deal score Computed, methodology below

8.8
/ 10
Discount depth
87%
Udemy rating
4.2 / 5
Popularity
103,253 students
Tracking length
410 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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Jul 4, 2025Listed by CoursesWyn — price recorded at $12.99Listed
Dec 18, 2025Coupon checked — checkout price $12.99 · listed until Dec 31Working

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 checkedDecember 18, 2025
Offer endsListed until December 31
ProviderUdemy
LevelAll Levels
Rating4.2 / 5
Students103,253
Content56 hours
LanguageEnglish
RequirementsLaptop with decent configuration (Minimum 4 GB RAM and Dual Core) · Sign up for GCP with the available credit or AWS Access
CertificateYes, on completion
AccessLifetime, mobile & TV

Key Topics Covered From the course description

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
Setup Hadoop and Spark Cluster on GCP using Dataproc
Understanding Complete Spark Application Development Life Cycle to build Spark Applications using Pyspark. Review the applications using Spark UI.

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Coupon & redemption FAQ

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