Course details

Using Data to Find Data: Data Discovery & Exploration

Using Data to Find Data: Data Discovery & Exploration


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore data discovery and exploration techniques, such as pivoting, de-identification, analysis, and data tracing.



Expected Duration (hours)
0.9

Lesson Objectives

Using Data to Find Data: Data Discovery & Exploration

  • Course Overview
  • recognize the differences between data exploration and data discovery
  • list the components of the Exploratory Data Analysis framework, which is involved in finding data facts
  • recall the tools that can be used to facilitate data Exploration
  • describe how Knime can be used to apply data exploration and data finding methods
  • describe the techniques that can be used to implement data transformation in order to get essential data attributes
  • pivot data using Python to find informative data
  • recognize the need for data de-identification and describe data de-identification techniques
  • recall the need for data quality analysis and the intended outcomes of the analysis
  • recognize the need for data tracing and describe data tracing techniques
  • describe the essential building blocks of finding data using data
  • recall essential data exploration tools, identify critical data transformation and tracing techniques, and specify the building blocks of using data to find data
  • Course Number:
    it_dsudfddj_01_enus

    Expertise Level
    Intermediate