Creativity in problem statement and analysis a. The analysis conducted was novel, imaginative, and you were effective in conveying ideas to the audience.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

You will present your final results in class. You should also produce a clean R code to support your analysis and also write a two-five page technical report of your analysis.

ASSESSMENT RUBRIC Total Score 100 points.  

Each Exceeds Standards (10 points); Meets Standards (7 points); Below average in meeting standards (5points); Did not address the issue (0 points) 

1. Cleanliness, readability, and organization of R code 

2. Insights and recommended course of actions 

3. Visualizations used to communicate the above insights 

4. Modeling techniques used and its correctness 

5. Creativity in problem statement and analysis a. The analysis conducted was novel, imaginative, and you were effective in conveying ideas to the audience. 

6. Overall preparedness, team work, and quality of presentation a. The introduction, arguments and solutions were clearly communicated and examples were appropriate. 

7. Overall quality of slides a. The slide transitions and flow were easy to follow. Slides were error-free and logically presented. 

8. Written report provide explanations and analytical evidences for each of the above insights. a. For example, you find that "early delivery is positively associated with higher customer ratings." You need to explain how you came up to this conclusion and provide analytical (model based) evidence for this claim. You should also provide the necessary R-code. 

9. Overall quality of the written report. 

10. Conclusion summarizing the presentation. 

We can now get started on projects for the class.

All of you should now be able to import data, join data, transform/manipulate data, and visualize data. In addition, you have probably started learning regression and other advanced modeling techniques in your other classes. 

The goal is to encourage creative thinking when approaching unstructured problems, and critical thinking in your analysis and recommendations. Additionally, I want you all to experience the the whole process of cleaning data and analyzing data. To have better experience, I want you all to identify a topic of interest, obtain data, and perform analysis to solve an analytics problem. 

There are several excellent sources for data: Kaggle and Google datasets are quite popular. 

Attachments:

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