Training schedule

1 Dec - 3 Dec, 2021
Online, instructor-led / English
16 Mar - 18 Mar, 2022
Online, instructor-led / English
30 May - 1 Jun, 2022
Amsterdam / English


Contact Giovanni Lanzani, if you want to know more about custom data & AI training for your teams. He’ll be happy to help you!
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Data Science - Senior

Data Science with Spark


Apache Spark is a powerful open-source processing engine built around speed, ease of use, and advanced analytics. Through our experienced consultants, you can learn to unlock its full potential and master this challenging tool yourself.

“I liked every aspect of this training and would like to thank the trainers. They did an excellent job of explaining how to use Spark for data science. This is the fourth GoDataDriven training I’ve followed. All were great, but this was the best one so far.” —Data Scientist, Knab

Clients we've helped

  • DSM is a GoDataDriven customer
  • Dupont - GoDataDriven customer
  • lego-logo
  • Airbus-logo
  • Merck-logo
  • Ahold Delhaize logo
  • Credit-Suisse-Logo
  • Shell-Logo
  • ING Bank
  • Danone logo
  • Nike-logo
  • tomtom_logo
  • Verizon-logo

What you'll learn

Spark basics

  • Spark execution
  • SparkSession
  • Transformations vs. actions
  • Laziness and lineage: how Spark optimizes code
  • How to use the Spark UI
  • Advanced Spark
  • How to apply partitioning and how Spark reads and writes data
  • Shuffling, narrow wide operations, and their impact on performance
  • The catalyst optimizer
  • About scheduling and job execution
  • About caching and persistence levels


  • The basic concepts
  • All about Spark DataFrames and pandas DataFrames
  • How to load and save DataFrames
  • The functions API
  • How to join data
  • User-defined functions and pandas’ user-defined functions (with performance implications)
  • Window operations

  • Machine Learning with Spark
  • Pre-processing data and feature engineering
  • Model selection
  • Pipeline API
  • Advanced topics

Spark structured streaming

  • Structured streaming
  • Machine Learning & streaming
  • Sources and sink
  • Windows & aggregations
  • Checkpointing & watermarking
  • Fault tolerance & Kafka
  • Kafka as a source and as a sink

The schedule

Day 1
  • Spark basics
  • Advanced Spark
  • DataFrames
Day 2
  • Window functions
Day 3
  • Spark structured streaming
  • Integrating Apache Spark with Apache Kafka

learning journey

Data Science Learning Journey

meet your trainer

Vadim Nelidov

Data Enchanter

Vadim is Data Scientist passionate about solving data-driven problems and sharing his analytical insights to make Data literacy a reality for all.

Flexible delivery

The Right Format For Your Preferred Learning Style

In-Classroom & In-Company Training
Online, Instructor-Led Training
Hybrid and Blended Learning
Self-Paced Training
Get in touch with the experts

Have any questions?

Contact Giovanni Lanzani, our Managing Director of Learning and Development, if you want to know more. He’ll be happy to help you!

Call me back

You can reach him out by phone as well at +31 6 51 20 6163

Course: Data Science with Spark Training

Book now