DADataCamp
Introduction to PySpark
Beginner 4 hours English Completion Certificate
About this course
Introduction to PySpark covers Apache Spark's distributed processing model from the ground up: setting up SparkSessions, working with RDDs and DataFrames, filtering and joining large datasets, and querying with Spark SQL using familiar SQL syntax. It closes with performance topics — caching, broadcast joins, and execution plan basics — that matter once you're working at real big-data scale.
The honest take: with 2,536 reviews at 4.7 stars, this is clearly one of DataCamp's popular data engineering courses, and the prerequisites (SQL, pandas) are real — this isn't a zero-background starting point, but a deliberate next step for someone already comfortable with tabular data in Python.
What you'll learn
Set up and manage SparkSessions for distributed jobs
Work with PySpark DataFrames and RDDs
Filter, group, and join large datasets efficiently
Query data using Spark SQL syntax
Use user-defined functions (UDFs) and Pandas UDFs
Apply caching and broadcast joins for performance optimization
This course includes
4h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
Comparison · LBS
Compare alternatives for Introduction to PySpark
Same topic, different options. We surface the trade-offs others hide so you can pick the course that actually fits your time, budget, and goals.
DADataCamp4.7(2,536)
Introduction to PySpark
- Price
- PaidDataCamp subscription · from $25/mo (free trial)
- Duration
- 4 hrs
- Level
- Beginner
- Certificate
- Completion
COCoursera4.6(102,000)
IBM Data Science Professional Certificate
- Price
- FreeAudit free · Cert $49/mo
- Duration
- 110 hrs
- Level
- Beginner
- Certificate
- Professional
EDedX4.4(131)
Data Science: Building Machine Learning Models
- Price
- FreeAudit free · HarvardX certificate available ($149)
- Duration
- 24 hrs
- Level
- Beginner
- Certificate
- Professional
EDedX
Probability - The Science of Uncertainty and Data
- Price
- FreeAudit free · MITx certificate available (paid)
- Duration
- 160 hrs
- Level
- Advanced
- Certificate
- Professional
Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Instructor
I
Instructor
DataCamp instructor
— learners— courses — instructor rating
Taught by DataCamp's data engineering curriculum team.
Requirements
- Introduction to SQL
- Data Manipulation with pandas
Who this course is for
- Data engineers and data scientists working with big data
- Pandas users moving into distributed computing
About this provider
DA
DataCamp
Data science and analytics learning platform. 10M+ learners, hands-on coding exercises.
4.4 trust score
Frequently asked questions
Yes for those with little or no prior Spark exposure, but it assumes SQL and pandas familiarity from the listed prerequisites.
Requires a DataCamp subscription, from $25/mo, with a free trial available.
About 4 hours across three chapters.
Data scientists, data engineers, and DevOps engineers who want to use Spark for data analysis and ML pipelines.
Yes, a DataCamp Statement of Accomplishment upon completion.