In this assignment you will submit a final written report. This assignment is worth 20% of your final grade and is out of a total of 100 marks. The following assignment aligns to the following learning outcomes. 1. Construct a business problem statensent suited to a business data analytices solution 2. Describe the different research methodologies used in statisties, machine learning or any analyties methodology. 3. Prepare data for analysis using cleaning and visualization techniques 4. Create a predictive model by selecting an appropriate statistical/quantitative approach 5. Build interactive dashboards and data stories in Tableau similar to the ones you created in assignment 6 6. Communicate analytical findings through visual and oral presentation Your report will provide a comprehensive overview of your project. Your report should consist of the following sections 1. Introduction - The introduction includes a statement of the problem and description of how the problem will be solved. 2. Body - A literature review is included which also outlines how you will approach things differently and why. - A detailed description of your data which includes i. The souree and size of the data ii. Quality of the data ii. Deseription of the most important/most relevant features of the data iv. Simple and small charts, tables or other visualization tools - Deseription of the methodology and models/methods - Models evaluation and comparison - Comparison of findings with external research, if applicable - Strengths and limitations of modes and suggestions for future improvement 3. Conclusion * summary of findings 4. Appendices - All code in in the proper format (if applicable) - Any information that support your analysis.

1. In this assignment you will submit a final written report. This assignment is worth 20% of your final
grade and is out of a total of 100 marks. The following assignment aligns to the following learning
outcomes. 1. Construct a business problem statensent suited to a business data analytices
solution 2. Describe the different research methodologies used in statisties, machine learning or
any analyties methodology. 3. Prepare data for analysis using cleaning and visualization
techniques 4. Create a predictive model by selecting an appropriate statistical/quantitative
approach 5. Build interactive dashboards and data stories in Tableau similar to the ones you
created in assignment 6 6. Communicate analytical findings through visual and oral presentation
Your report will provide a comprehensive overview of your project. Your report should consist of
the following sections 1. Introduction - The introduction includes a statement of the problem and
description of how the problem will be solved. 2. Body - A literature review is included which also
outlines how you will approach things differently and why. - A detailed description of your data
which includes i. The souree and size of the data ii. Quality of the data ii. Deseription of the most
important/most relevant features of the data iv. Simple and small charts, tables or other
visualization tools - Deseription of the methodology and models/methods - Models evaluation and
comparison - Comparison of findings with external research, if applicable - Strengths and
limitations of modes and suggestions for future improvement 3. Conclusion * summary of findings
4. Appendices - All code in in the proper format (if applicable) - Any information that support your
analysis