Advanced Spark for Data Science and Data Engineering - University of California

edX
Online

Free

Important information

  • Course
  • Online
  • Duration:
    4 Weeks
  • When:
    Flexible
Description

Learn common Spark use cases and take a deeper dive into Spark’s architecture and APIs. With an apprenticeship you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.

Important information

Requirements: Programming background and experience with Python required. All exercises will use PySpark (part of Spark). Previous experience with Spark equivalent to CS110x: Big Data Analysis with Spark.

Venues

Where and when

Starts Location
Flexible
Online

What you'll learn on the course

Engineering
Data science
APIs
Spark
Data Engineering

Course programme

Gain a deeper understanding of Spark by learning about its APIs, architecture, and common use cases.  This statistics and data analysis course will cover material relevant to both data engineers and data scientists.  You’ll learn how Spark efficiently transfers data across the network via its shuffle, details of memory management, optimizations to reduce compute costs, and more.  Learners will see several use cases for Spark and will work to solve a variety of real-world problems using public datasets.  After taking this course, you should have a thorough understanding of how Spark works and how you can best utilize its APIs to write efficient, scalable code.  You’ll also learn about a wide variety of Spark’s APIs, including the APIs in Spark Streaming.