course
Spark courses
With Spark, data is read into memory, operations are performed, and the results are written back, resulting in faster execution. Learn core principles and common packages on DataCamp.
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Build your Spark skills with interactive courses curated by real-world experts
IntermediateSkill Level
4 hours
1.3K
track
Big Data with PySpark
25 hours
62
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Take an AssessmentBrowse Spark courses and tracks
8 resultscourse
Introduction to PySpark
IntermediateSkill Level
4 hours
1.3K
course
Big Data Fundamentals with PySpark
AdvancedSkill Level
4 hours
862
course
Cleaning Data with PySpark
AdvancedSkill Level
4 hours
500
course
Machine Learning with PySpark
AdvancedSkill Level
4 hours
365
course
Introduction to Spark SQL in Python
AdvancedSkill Level
4 hours
140
course
Feature Engineering with PySpark
AdvancedSkill Level
4 hours
310
course
Building Recommendation Engines with PySpark
AdvancedSkill Level
4 hours
121
course
Introduction to Spark with sparklyr in R
IntermediateSkill Level
4 hours
70
Related resources on Spark
blog
The Top 20 Spark Interview Questions
Essential Spark interview questions with example answers for job-seekers, data professionals, and hiring managers.
Tim Lu
blog
Flink vs. Spark: A Comprehensive Comparison
Comparing Flink vs. Spark, two open-source frameworks at the forefront of batch and stream processing.
Maria Eugenia Inzaugarat
8 min
tutorial
Pyspark Tutorial: Getting Started with Pyspark
Discover what Pyspark is and how it can be used while giving examples.
Natassha Selvaraj
10 min
Ready to apply your skills?
project
Cleaning an Orders Dataset with PySpark
1 hour
938
project
Building a Demand Forecasting Model
1 hour
1.6K