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Data Analyst Portfolio
Projects PDF Downloads

Download data analyst portfolio projects PDF material from Uncodemy: which projects to include, how to present them on GitHub and mistakes to avoid.

Prepared by: Uncodemy trainer team Reviewed by: Uncodemy Last reviewed: 24 Oct 2026
PDF Materials
Portfolio Projects Guide PDF · Ready to download
SQL & Python Portfolio PDF PDF · Ready to download
Dashboard Case Study PDF PDF · Ready to download

Quick Answer

This page lists Uncodemy's Data Analyst portfolio PDFs, each as its own file. A data analyst portfolio is a small set of projects that prove you can ask a question, clean data, analyse it and communicate a result. Quality, clarity and honesty matter more than quantity.

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Data Analyst Portfolio Projects PDFs

Each download below is its own file. Pick what you need — a portfolio projects guide, a SQL & Python starter pack, or a dashboard case study PDF.

3 PDFs Available
PDF 01 Most Popular

Portfolio Projects Guide

A complete guide on which data analyst portfolio projects to build, how to present them on GitHub and what recruiters actually look for.

PDF Free Oct 2026
Download Brochure
PDF 02 Starter Pack

SQL & Python Portfolio PDF

Hands-on SQL analysis and Python EDA projects with realistic datasets, step-by-step instructions and README templates.

PDF Free Oct 2026
Download Brochure
PDF 03 Case Study

Dashboard Case Study PDF

Excel and Power BI dashboard case studies showing how to turn raw data into clear, stakeholder-ready reporting and insights.

PDF Free Oct 2026
Download Brochure

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.

01

What is a data analyst portfolio?

A portfolio is the collection of projects you show to employers, usually on GitHub, a personal page or a LinkedIn featured section. Recruiters spend little time on each one, so each project must make the question, the method and the finding obvious within a minute.

02

A balanced portfolio

Each project type below proves a specific capability. Together they cover the core skills recruiters screen for.

Project typeWhat it proves
SQL analysisYou can query and join real data and answer business questions
Excel or Power BI dashboardYou can build clear dashboards for non-technical users
Python EDAYou can clean and explore larger or messier data
Case study write-upYou can explain a problem and defend a recommendation
End-to-end capstoneYou can carry a problem from raw data to a decision
03

What each project page should contain — and what to avoid

Should contain

  • The business question in one sentence.
  • Data source, size and any limits.
  • Cleaning steps you took.
  • Two or three key charts with a sentence of insight each.
  • A recommendation and what you would do next.
  • A README that explains how to reproduce it.

Common mistakes

  • Tutorial copies: the same Titanic or Iris project as everyone else shows nothing new.
  • Screenshots with no explanation.
  • No link to code or workbook.
  • Claiming work you cannot explain: interviewers will ask.

Learn with a trainer

Ready to build a portfolio recruiters actually read? Explore Uncodemy's Data Analytics course and learn from industry trainers.

View Course
About these PDFs: These PDFs are study material for learning and revision. They are not a certificate, a degree or a promise of a job, and technology changes, so check official documentation for the latest details. Spot an error? Write to info@uncodemy.com and the trainer team will review it.
FAQ

Frequently Asked Questions

What should a data analyst portfolio include?
Three to five projects that cover SQL, a dashboard, some Python or Excel analysis, and at least one written case study, each with a clear question and findings.
Where should I host my data analyst portfolio?
GitHub is the most common choice, with a README per project. A personal page or a LinkedIn featured section can link to it.
How many projects should a portfolio have?
There is no fixed number. A few well-explained projects beat many shallow ones.
Can I use public datasets in my portfolio?
Yes, if you cite the source and respect its licence. Make the question and analysis your own so the project stands out.
Do recruiters really look at portfolios?
Many do, especially for freshers who have little work experience. A clear portfolio can support your resume, but it does not guarantee a job.
Are these PDFs free to download?
The portfolio projects PDFs on this page are free to download. No form is required — just click the download button on any card above.