Cloudera Data Science Workbench Training

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

    Get Hands-On Experience

    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

    What to Expect

    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.

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