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Cloudera Data Science Workbench Training (DATASWB-ON)

 

Cloudera Data Science Workbench Training (DATASWB-ON)

Key Features

  • Learn from anywhere in the world. Connect with an Instructor in real time.
  • Attend Live Class from a PC or Mobile.
  • Ask questions from an Instructor in real time over voice & chat.
  • Includes Certificate of Completion.
  • Official Exam & Certification Assitance.
  • Get 30 Days free after class support.

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Course Description

About the Course

    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

Course Curriculum

Cloudera Data Science Workbench Training (DATASWB-ON)

Target Audience

  • This course is designed for learners at organizations using CDSW under an enterprise license or a trial 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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