APA Style Guide, located in the Student Success Center. An abstract is not required.
MIS 690 Topic 4 Benchmark Model Building GCU
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MIS 690 Topic 4 Benchmark Model Building GCU
Utilizing the information from previous topics build a model that will solve the identified problem. This model should be an individual approach to apply an analytical process to effectively build a model that best fits the business problem. Use one or more of the following software applications: IBM SPSS Modeler, SPSS Statistics, Excel, Tableau, Python, or R.
Create a draft outline describing your model and addressing the following:
1.Demonstrate your application of data analysis process by specifying which models you built and indicate why this best addresses the business problem.
2.What variables did you include or leave out and why?
3.Provide specific screenshots from the modeling software.
4.Provide the raw software files that you used for this assignment.
Synthesize the information from your draft outline to complete, in 750-1,000 words, the relevant components in the Methodology Approach and Model Building section of the “Capstone Template.”
Submit the draft outline, raw data Excel files, screenshots, and the updated “Capstone Project Thesis Template.”
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.
Benchmark Information
This benchmark assignment assesses the following programmatic competencies:
MS Business Analytics
1.5: Effectively apply data analytics processes.
Just Click on Below Link To Download This Course:
https://mindsblow.com/product/mis-690-topic-4-benchmark-model-building-gcu/
MIS 690 Topic 4 Benchmark Model Building GCU
Utilizing the information from previous topics build a model that will solve the identified problem. This model should be an individual approach to apply an analytical process to effectively build a model that best fits the business problem. Use one or more of the following software applications: IBM SPSS Modeler, SPSS Statistics, Excel, Tableau, Python, or R.
Create a draft outline describing your model and addressing the following:
1.Demonstrate your application of data analysis process by specifying which models you built and indicate why this best addresses the business problem.
2.What variables did you include or leave out and why?
3.Provide specific screenshots from the modeling software.
4.Provide the raw software files that you used for this assignment.
Synthesize the information from your draft outline to complete, in 750-1,000 words, the relevant components in the Methodology Approach and Model Building section of the “Capstone Template.”
Submit the draft outline, raw data Excel files, screenshots, and the updated “Capstone Project Thesis Template.”
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.
Benchmark Information
This benchmark assignment assesses the following programmatic competencies:
MS Business Analytics
1.5: Effectively apply data analytics processes.
Tags: APA Style Guide, located in the Student Success Center. An abstract is not required.
Quelle: https://mindsblow.com/product/mis-690-topic-4-benchmark-model-building-gcu/
Quelle: https://mindsblow.com/product/mis-690-topic-4-benchmark-model-building-gcu/
Kartensatzinfo:
Autor: CoboCards-User
Oberthema: Education
Thema: Education
Schule / Uni: devry university
Ort: UK
Veröffentlicht: 12.02.2020
Tags: INTERNATIONAL STUDY, COMPUTER SCiENCE, ENGINEERING & TECHNOLOGY, Accounting, Business, PSCYCHOLOGY, SOCIAL SCIENCE, POLITICAL Science, Social Science, Project Risk Management, ARTS & HUMANITIES, RELIGIOUS STUDIES SOCIOLOGY
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