Case Study: Submission Guidelines

Submission Guidelines


  1. Prepare a 1-page abstract describing the problem statement, a possible solution, and statistical operations to be used in a PDF format. Keep the font Times New Roman and font size 26 for the topic (heading), 18 for the term Abstract and 12 for the content of the abstract. The topic (heading) should be left-aligned, and the content of the abstract must be justified.
  2. Ensure that your proposed case study topic is not among the list of Completed Case Studies or Case Studies in Progress.
  3. To view a sample abstract, click here.

Case Study Project Code Directory

Prepare a case study project code directory as a .zip file. The directory should contain:

  1. Data file/s containing the data used for analysis in appropriate format like .csv, .xls, .xlsx etc. Also, mention every data source used with a link to it (if available) in a text file. Keep both the data file/s and text file together in one folder.
  2. Code file/s containing well-commented and error-free R code of the complete process starting from loading data to analysis with a brief explanation (as a comment) for each step performed. Make sure that the code successfully runs on a system different from yours. Kindly avoid mistakes like explicitly assigning a specific directory associated with your system as the working directory for the R code.

Case Study Project Report

Minimum 3-page report of the case study project with font Times New Roman and font size 26 for every topic (heading), 18, 15 & 12 for subsequent sub-topics (sub-headings), and 12 for the content of the report in PDF format. All topics (headings) and sub-topics (sub-headings) must be left-aligned, and the content of the report must be justified. All graphs, tables, and code chunks must be center-aligned. The report must specify the following:

  1. Abstract
  2. Introduction (Also mention the version of R and RStudio used for performing the case study)
  3. Methodology including “Data Collection,” “Data Exploration,” and “Data Analysis” (Make sure that the graphs and tables are well-labeled)
  4. Results (A detailed description of the results with an interpretation of statistical tools used for data analysis)
  5. Conclusion (A detailed description of findings from the data analysis process)
  6. References (List all references (including the R packages) used for creating the report in APA format)

The completed case study project will be evaluated on:

  1. Novelty and uniqueness of the topic and methodology chosen for the case study
  2. Complexity of the project
  3. Validated results using other sources/references
  4. Quality of the report
  5. Data used (should not have any copyright restrictions and must not be from Kaggle or any other similar platform)

Keep in mind the following while creating the report:

  1. Ensure that the report is free of grammatical errors.
  2. Mathematical parameters, expressions, and R functions appearing anywhere in the report should be written in italics and bold.
  3. Equations must be formed in separate lines with appropriate separation above and below the equation line, with equation numbers flushed to the right side.
  4. Tables and figures reproduced from elsewhere should be cited appropriately. 
  5. The report will be scrutinized for novelty. Ensure that the report is free of plagiarism.
  6. Do not compress individual files or folders into zip format. Keep data, code, and report separate in different folders and then compress these folders into a single .zip file.
  7. It is advisable but not mandatory to use LaTeX for report creation.

To view a sample case study, click here.

Please refer to the eCertificate section to know more about the evaluation of a case study project.