Data Research Techniques
Data Research
| Intermediate
- 11 Videos | 37m 11s
- Includes Assessment
- Earns a Badge
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
-
1.Course Overview1m 40sUP NEXT
-
2.Data Research Fundamentals4m 10s
-
3.Data Research Steps3m 4s
-
4.Values, Variables, and Observations3m 34s
-
5.JMP Scale of Measurement2m 53s
-
6.Non-experimental and Experimental Research2m 49s
-
7.Descriptive and Inferential Statistical Analysis2m 39s
-
8.Inferential Tests4m 1s
-
9.Case Study of Clinical Data Research3m 1s
-
10.Data Research in Sales Management3m 3s
-
11.Exercise: Implement Data Research1m 48s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.
