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Read More →Download data analytics case study PDF material from Uncodemy: how to structure a case study, example problem types and the analysis steps behind each.
This page lists Uncodemy's Data Analytics case study PDFs, each as its own file. A data analytics case study walks from a business problem to data, analysis, findings and a recommendation. Interviewers and portfolio reviewers look for clear questions, sound method and an honest conclusion.
Each download below is its own file. Pick what you need — a case study structure guide, worked problem examples, or an interview-ready case study pack.
The complete six-step structure — problem, questions, data, analysis, findings, recommendation — with what each section should contain and how to tie the conclusion to the evidence.
Worked examples across the five most common problem types — sales decline, customer churn, employee attrition, marketing campaign and inventory — each with the question to ask and the analysis to run.
What interviewers and portfolio reviewers look for when reading a case study — plus the four most common mistakes that sink otherwise strong analyses.
Each download is a separate file. Show only as many cards as there are real PDFs — each with its own title, description, page count, size and file.
Every strong case study follows the same six-step path. Each section should stay short — the goal is a reader who can follow the logic from start to finish without guessing what you did or why.
These five problem types appear repeatedly in interviews and portfolio projects. Each pairs a typical business question with the analysis that normally answers it.
| Problem type | Typical question | Typical analysis |
|---|---|---|
| Sales decline | Why did sales fall in one region? | Trend by region, product and period; compare to the previous year |
| Customer churn | Which customers are leaving and why? | Segment by tenure, usage and complaints; compare churned and retained groups |
| Employee attrition | Which groups leave most often? | Attrition rate by department, tenure and manager |
| Marketing campaign | Did the campaign work? | Conversion by channel; cost per acquisition; test vs control |
| Inventory | Which products are over- or under-stocked? | Stock turnover and days of cover by product |
Ready to build case studies interviewers actually read? Explore Uncodemy's Data Analytics course and learn from industry trainers.
