Case Study: Submission Guidelines

Submission Guidelines

Proposal Documents

  1. Prepare a Problem Statement and find appropriate data associated with it. Propose a title for the Case Study in a maximum of 20 words. Make sure the objective and necessity of the case study are prepared well in advance.
  2. Prepare a data directory in a .zip file. The file should contain,
    1. Dataset (.csv/.xls/.xlsx format)
    2. Dataset Source link (.txt format)
    3. Description of the data (in .pdf format max 50 words).
  3. Prepare a Literature Survey document (in .pdf format) that will describe the existing studies and analysis on the chosen dataset (with references) in a maximum of 500 words. Keep the font Times New Roman and the content must be justified. The list of references must be mentioned in APA format.
  4. Create a document outlining the suggested approaches and methodology (in .pdf format) for solving the proposed case study. The document necessarily should contain the following sections,
    1. Exploration and pre-processing techniques that will be applied to the dataset.
    2. Possible modeling, diagnostics and statistical techniques to be used to solve the proposed case study.
    3. Use of possible R packages and pre-defined functions.
  5. For all the proposal documents, keep the font Times New Roman and font size 26 for the title (heading), 18 for the Section heading and 12 for the content. The section (heading) should be left-aligned, and the content of the documents must be justified.
  6. Ensure that your proposed case study topic is neither in the list under Completed Case Studies nor in Case Studies in Progress.

Case Study Project Code Directory

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

  1. Data directory files in .zip format containing the data used for analysis in an appropriate format like .csv, .xls, .xlsx, etc. Mention every data source used, with a link to it (if available) in a text file. And a data description file in .pdf format.
  2. Code file/s in an R Markdown document (.rmd file) containing well-commented and error-free R code of the complete process starting from loading data to analysis with a brief explanation (as comments) for each step performed. Make sure that the code successfully runs on a system different from yours. Kindly avoid common mistakes like explicitly assigning a specific directory associated with your system as the working directory for the R code.
  3. The Case Study Project Report file (in .pdf format).

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 and unmorphed (Stretched / Squished) in any way.

It is advisable to create the report in LATEX for a good presentation.

The report must specify the following:

  1. Abstract (The 1-page abstract must describe the problem statement, a possible solution, and statistical operations to be used. To view a sample abstract, click here.)
  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 the statistical tools used for data analysis)
  5. Conclusion (A detailed description of findings from the data analysis process)
  6. References (List all references 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 from grammatical errors.
  2. Mathematical parameters, expressions, and R functions appearing anywhere in the report must be written in italics and bold.
  3. Equations must be written in a new line with appropriate separation from the text above and below it. The equation number must be 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 a .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.