Project Work

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Regarding Project on RInternally Assure the Quality of Assessment

Project Work

Every student is expected to pick a topic of interest, find an open-source dataset, define a business analytics question, apply appropriate business analytics methods covered in STAT 4600, interpret results, and share the insights in your project report and presentation.

There are many opensource datasets. Here are just a few examples, and you are welcome to explore other sources

1. Kaggle https://www.kaggle.com/datasets

2. UCI Machine Learning Repository https://archive.ics.uci.edu/ml/datasets.php

3. Google Public Data Explorer https://www.google.com/publicdata/directory

4. National Information Center on Health Services Research and Health Care Technology https://www.nlm.nih.gov/hsrinfo/datasites.html#164Databases/Repositories

5. Centers for Disease Control and Prevention (CDS) Public datasets https://www.cdc.gov/nchs/data_access/ftp_data.htm

6. U.S. Census Bureau https://www.census.gov/topics/income-poverty/income/data/datasets.html https://www.bls.gov/data/

7. Open Data Boston https://data.boston.gov/dataset

8. Data World https://data.world/datasets/professional

9. Airline Industry https://catalog.data.gov/dataset?tags=flight

10. Statlib datasets http://lib.stat.cmu.edu/datasets/

11. van der Maaten’s web page provides high dimensional data sets https://lvdmaaten.github.io/tsne/

12. Open Gov. Data https://www.data.gov/ https://www.data.gov.uk

13. Federal Reserve Economic Data https://fred.stlouisfed.org/

14. World Bank https://data.worldbank.org/

15. Youtube labeled Video Dataset https://research.google.com/youtube8m/

16. Past KDD Cups https://www.kdd.org/kdd-cup

17. Awesome Public Datasets https://github.com/awesomedata/awesome-public-datasets

18. WRDS and Bloomberg Access to finance data for all students and faculty of SOM. Here are a few resources for learning R.

The project should include the following:

Project Proposal

Submit a project proposal (word document)

It should include the following

The research problem

Why is this research problem important?

Type/source/content of data used in the project

Analysis and modeling methods

The software that you use

Summary or descriptive statistics to support this proposal

Project Report

The report should be as follows

Font Size and Type: 12-pt. Times New Roman font

• Line Spacing: 1.5-space throughout the report, including the title page and the body of the

document

• The page number appears at the bottom of every page

• Main report and Appendix

• The main report includes: Title page, Introduction, Methods, Results, Conclusion sections,

and includes key figures and tables

• Main report length: At least 15 pages – (not including the Appendix)

– Appendix length: No page limit

– All references, supplemental tables/figures, and codes must be included in the Appendix section

– Use APA style for references (http://www.bibme.org/citation-guide/apa/)

• All figures and tables should have a title and legend. The labels should clearly describe the

figure/table, include the time frame, sample size, and any information needed to interpret

figures/tables. Use full sentences and paragraphs in each section of the report

Contents of the report should be as follows:

Title page (5 points)

• Title of the project

• Students name

• Date of submission

• Abbreviations (if any used in the report)

Introduction

• Business analytics problem: Define the research problem

• Why is this research problem important?

• How does it relate to the STAT 4600 class

Methods

• Describe type/source/content of data used in the project

Describe the analysis and modeling methods. The required model is linear regression. Then

you need to apply one more model that you pick

• Clearly explain the choice of models and analysis

• Model development and analysis details

Results

• Results: Presentation of results

• Data visualization: Figures and tables

• Make sure to include visualizations/tables as appropriate (Tables and Figures are in the Appendix and cited in appropriate places in the main text using their labels such as Fig.1 or

Table 1)

Conclusion

• Discussion: Communicate the results succinctly

• What are the key findings?

• What are the business insights/recommendations?

Style (5 points)

• Clear and professional language

– Avoid misspellings

– Use the third person instead of “we” or “I”

– Use the active voice rather than the passive voice

For Presentation

The presentation structure is similar to the report (introduction, methods, results, and conclusion) with a focus on:

– Business analytics problem: Define the decision problem

– Study design: Analysis and modeling approaches

– Data structure: Type/source/content of data, outcome measures

– Model development and analysis

– Results

– Discussion

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