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Using Data to Find Data: Correction & Categorization

Using Data to Find Data: Correction & Categorization


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Discover how to produce meaningful information by deriving value from existing data. Explore techniques such as data cleansing, data wrangling, and data categorization.



Expected Duration (hours)
0.9

Lesson Objectives

Using Data to Find Data: Correction & Categorization

  • Course Overview
  • describe approaches for facilitating data management with emphasis on data layout
  • recognize the benefits of dimensional data design
  • demonstrate the methods of cleansing data using Python libraries
  • describe how to facilitate common operations of finding data facts using Python
  • demonstrate data wrangling approaches using Python
  • recognize how to facilitate variance measurement using Python
  • specify the importance of data categorization and describe data categorization types
  • work with classification to facilitate data categorization using Python
  • implement data categorization using the clustering
  • use Python to facilitate data visualization and depict data graphs
  • wrangle and categorize data using Python and clustering
  • Course Number:
    it_dsudfddj_02_enus

    Expertise Level
    Intermediate