Portfolio Dataset Vault™
Recruiters do not hire certificates — they hire proof. This vault gives you 12 real datasets and 25 guided project briefs to build the portfolio that gets you interviews.
One-time payment · Instant download · Lifetime access
⚡ Limited launch price — increases soon. One-time payment, no subscription.
“Got my first data analyst role 6 weeks after finishing this. The SQL section is exactly what they test.”
See Inside Before You Buy
This is what 120+ pages of premium, structured data analytics education actually looks like — not slides, not padding, not filler.
What You Get
12 Real Datasets
Sales, HR, marketing, finance and operations data — realistic and messy.
25 Project Briefs
Each with business context, questions to answer and difficulty rating.
GitHub Templates
Repository structure and README formats that look professional.
KPI Frameworks
Know which metrics matter for each business domain.
Write-Up Guides
Turn analysis into the case-study format recruiters skim.
Interview Integration
Present each project as a ready-made interview story.
Who This Is For & What You’ll Learn
Who This Is For
- Job seekers with skills but nothing to show
- Students whose only projects are course assignments
- Career changers proving themselves without job history
- Anyone told their portfolio needs work
What You’ll Learn
- What separates a portfolio project from a tutorial copy
- How to pick projects that match your target role
- How to write analysis summaries recruiters actually read
- How to talk through a project in an interview
12 real-world datasets and 25 project briefs to build a data analyst portfolio that gets interviews. Stop doing toy examples. Start building projects that prove your skills to employers.
Recruiters see hundreds of analysts claiming they know SQL and Python. A GitHub portfolio with 3 strong projects proves it. This vault gives you the data, the project briefs, the SQL queries, the Python code, and the README templates to build that portfolio in weeks not months.
What's inside
- 12 premium datasets across e-commerce, finance, HR, healthcare, real estate, and public data
- 25 project briefs — Beginner, Intermediate, and Advanced — with step-by-step instructions
- SQL walkthrough queries for each project: EDA, aggregation, window functions, and business questions
- Python analysis walkthroughs: pandas, matplotlib, and seaborn with real output
- Excel and Power BI walkthrough versions of key projects
- Professional README templates — the first thing recruiters read on GitHub
- GitHub profile setup guide: bio, pinned repos, and profile README
- LinkedIn post templates to share your project findings and attract recruiter attention
Who this is for
Anyone who has learned the tools but doesn't know what to build. Analysts who have been rejected because they "lack experience." Career changers who need portfolio proof to compete with candidates who have formal education.
Instant download. Datasets in CSV format. Works with SQL, Python, Excel, and Power BI.
Real people, real analyst jobs
4,200+ students. Jobs at Deloitte, Amazon, McKinsey and more.
Got my first data analyst role 6 weeks after buying this. I had been trying to break in for 2 years. The SQL section is exactly what they test — the portfolio walkthroughs made all the difference.
“The Python scripts alone save me 4 hours every week. This guide paid for itself 100 times over.”
I tried 3 other courses. None got me to the interview stage. This is the first resource structured around what employers actually need to see — not just what is easy to teach.
I came from marketing with zero coding. By day 90 I had a portfolio and an offer. The salary negotiation script added €9,000 to my initial offer. Incredible value.
Had 4 interviews in one week. Got 3 offers. The SQL window functions and business case frameworks are exactly what they test at consulting firms. Nothing else comes close.
Used the Power BI templates in my first week. My manager asked how long I spent building them. I said a couple of hours — it was actually 20 minutes. Never looked more competent on day one.
