Course details

Data Research Techniques

Data Research Techniques


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

To master data science, you must learn the techniques surrounding data research. In this 10-video course, learners will discover how to apply essential data research techniques, including JMP measurement, and how to valuate data by using descriptive and inferential methods. Begin by recalling the fundamental concept of data research that can be applied on data inference. Then learners look at steps that can be implemented to draw data hypothesis conclusions. Examine values, variables, and observations that are associated with data from the perspective of quantitative and classification variables. Next, view the different scales of standard measurements with a critical comparison between generic and JMP models. Then learn about the key features of nonexperimental and experimental research approaches when using real-time scenarios. Compare differences between descriptive and inferential statistical analysis and explore the prominent usage of different types of inferential tests. Finally, look at the approaches and steps involved in the implementation of clinical data research and sales data research using real-time scenarios. The concluding exercise involves implementing data research.



Expected Duration (hours)
0.6

Lesson Objectives

Data Research Techniques

  • Course Overview
  • recall the fundamental concepts of data research that can be applied on data inference
  • identify implementation steps for drawing data hypothesis conclusions
  • define the values, variables, and observations that are associated with data from the perspective of quantitative and classification variables
  • specify the different scales of standard measurements with a critical comparison between the Generic and JMP model
  • identify the key features of non-experimental and experimental research approaches using real-time scenarios
  • compare the differences between the descriptive and inferential statistical analysis
  • illustrate the prominent usages of the different types of inferential tests
  • describe the approaches and the steps involved in the implementation of clinical data research using real-time scenarios
  • describe the approaches and the steps involved in the implementation of sales data research using real-time scenarios
  • specify the key features of experimental and non-experimental research and recall the differences between descriptive and inferential statistical analysis
  • Course Number:
    it_dsdrptdj_01_enus

    Expertise Level
    Intermediate