Cloudera Data Science Workbench Training

Cloudera Data Science Workbench Training prepares learners to complete data science and machine learning projects using Cloudera Data Science Workbench (CDSW).

Through narrated demonstrations and hands-on exercises, learners achieve proficiency in CDSW and develop the skills required to:

• Navigate CDSW’s options and interfaces with confidence
• Create projects in CDSW and collaborate securely with other users and teams
• Develop and run reproducible Python and R code
• Customize projects by installing packages and setting environment variables
• Connect to a secure (Kerberized) Cloudera or Hortonworks cluster
• Work with large-scale data using Apache Spark 2 with PySpark and sparklyr
• Perform end-to-end machine learning workflows in CDSW using Python or R (read, inspect, transform, visualize, and model data)
• Measure, track, and compare machine learning models using CDSW’s Experiments capability
• Deploy models as REST API endpoints serving predictions using CDSW’s Models capability
• Work collaboratively using CDSW together with Git

This OnDemand course is designed for learners at organizations using CDSW under a trial license or a commercial license. The learner must have access to a CDSW environment on a Cloudera or Hortonworks cluster running Apache Spark 2. Some experience with data science using Python or R is helpful but not required. No prior knowledge of Spark or other Hadoop ecosystem tools is required.