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Data Tools: Technology Landscape & Tools for Data Management

Data Tools: Technology Landscape & Tools for Data Management


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore the technology landscape and the tools used to implement data management. Discover how to use machine learning in data analytics and the capabilities of machine learning implementation in the cloud.



Expected Duration (hours)
0.4

Lesson Objectives

Data Tools: Technology Landscape & Tools for Data Management

  • describe the concept and characteristics of the current technology landscape from the data perspective as well as the tools involved
  • describe the comparative benefits of essential data management tools
  • recognize the need for machine learning in modern data analytics
  • list the various prominent tools and frameworks that can be used to implement machine learning
  • work with scikit-learn to implement machine learning
  • recognize the capabilities provided by Python and R in the data management cycle
  • specify the capabilities and benefits provided by the implementation of machine learning in the cloud
  • explore essential data management tools and implement machine learning with scikit-learn
  • Course Number:
    it_dsprtldj_01_enus

    Expertise Level
    Intermediate