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Wpc 300 Exam Questions Complete Solutions New Update analytical modeling techniques - Predictive Explanatory Prescriptive Descriptive- - This is a preliminary stage of data processing that creates a summary of historical data to yield useful information and possibly prepare the data for furthe...

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  • December 26, 2024
  • 11
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers

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  • wpc 300 exam questions complete solutions new upda

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  • WPC 300

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Wpc 300 Exam Questions Complete
Solutions New Update

analytical modeling techniques - ✔✔Predictive Explanatory


Prescriptive


Descriptive- - ✔✔This is a preliminary stage of data processing that creates a summary

of historical data to yield useful information and possibly prepare the data for further

analysis. Ex.) What happened? Whats happening? Well defined business problems and

opportunities.


Predictive - ✔✔Predictive analytics is the use of data, statistical algorithms and machine

learning techniques to identify the likelihood of future outcomes based on historical

data. The goal is to go beyond knowing what has happened to providing a best

assessment of what will happen in the future. What will happen next? (2) Why will it

happen next?


Explanatory - ✔✔this is about looking into the past and determining why a certain

thing happened. This type of analytics usually revolves around working on a

dashboard. Why did it happen? (2) How did it happen?




Author: Katelyn Whitman. ©2025, All Rights Reserved.

, 2|Page


prescriptive - ✔✔Prescriptive analytics answers the question of what to do by providing

information on optimal decisions based on the predicted future scenarios. The key to

prescriptive analytics is being able to use big data, contextual data and lots of

computing power to produce answers in real time. What should be done about it? (2)

Why should you do it?


Heuristics Vs. Analytics - ✔✔Heuristics is faster, analytics is slower. Using heuristics

may lead to decision biases.


Exploratory visualization - ✔✔Exploratory visualization is the process that involves a

discipline expert creating maps and other graphics while dealing with relatively

unknown geographic data.


confirmatory visualization - ✔✔the part where you evaluate your evidence using

traditional statistical tools such as significance, inference, and confidence.


production visualization - ✔✔know exactly what to look for because you already

understand your production environment. typicaly put on a dashboard.


spatial visualization - ✔✔finding simple shapes hidden within larger, complex shapes


Tufte's principles of data visualization - ✔✔The chart should tell a story. The chart

should have graphical integrity. The chart should minimize graphical complexity.




Author: Katelyn Whitman. ©2025, All Rights Reserved.

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