Data Research Techniques

Data Research    |    Intermediate
  • 11 Videos | 37m 11s
  • Includes Assessment
  • Earns a Badge
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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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 40s
    UP NEXT
  • Playable
    2. 
    Data Research Fundamentals
    4m 10s
  • Locked
    3. 
    Data Research Steps
    3m 4s
  • Locked
    4. 
    Values, Variables, and Observations
    3m 34s
  • Locked
    5. 
    JMP Scale of Measurement
    2m 53s
  • Locked
    6. 
    Non-experimental and Experimental Research
    2m 49s
  • Locked
    7. 
    Descriptive and Inferential Statistical Analysis
    2m 39s
  • Locked
    8. 
    Inferential Tests
    4m 1s
  • Locked
    9. 
    Case Study of Clinical Data Research
    3m 1s
  • Locked
    10. 
    Data Research in Sales Management
    3m 3s
  • Locked
    11. 
    Exercise: Implement Data Research
    1m 48s

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