Master's year 1 · 5 days - 35 hours

Big Data and Data Science

Big Data and data science fundamentals: the ecosystem, distributed storage, data preparation and first large-scale processing.

Learning objectives

• Map the building blocks of the Big Data ecosystem
• Prepare and explore a large dataset
• Run an end-to-end data science workflow
• Present results to a business audience

Course outline Free preview

1. Big Data ecosystem and architectures
2. Storage and data formats
3. Data preparation and exploration
4. Introduction to Spark
5. Communicating results and soft skills