Welcome to the Ghostly Shadow Data Architect Series. This repository is your central laboratory for transitioning from a manual "Data Janitor" to a high-impact Data Architect.
Over the next 30 days, we will systematically master the tools of modern data engineering, analysis, and on-chain intelligence.
| Phase | Focus | Status |
|---|---|---|
| Phase 1: Excel Mastery | Architecture, Logic, and Automation | 🟢 Day 1 - 12 |
| Phase 2: SQL Intelligence | Querying, Joins, and Optimization | 🟡 Day 13 - 24 |
| Phase 3: Power BI Storytelling | Modeling, DAX, and Visual Design | ⚪ Day 25 - 30 |
Level: Advanced
Topic: FORECAST.ETS, GROWTH, Seasonality, and R-Squared.
- 📥 Download the Day 12 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on building predictive models and trend analysis.
- Real-time Validation Engine: Instant ✅/❌ feedback for your forecasting logic.
- The Manual (Cheat Sheet): Full archive of predictive formulas (ETS, GROWTH, Conf. Intervals).
- Premium Guide: Master the art of seeing forward with statistical accuracy.
Level: Advanced
Topic: ROI, NPV, IRR, and Amortization Schedules.
- 📥 Download the Day 11 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on building institutional-grade financial models.
- Real-time Validation Engine: Instant ✅/❌ feedback for your capital math.
- The Manual (Cheat Sheet): Full archive of financial formulas (PMT, IPMT, NPV).
- Premium Guide: Master the time value of money and cash flow architecture.
Level: Advanced
Topic: ETL Automation, Unpivoting, and M-Code Logic.
- 📥 Download the Day 10 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on building industrial-grade data pipelines.
- Real-time Validation Engine: Instant ✅/❌ feedback for your transformation logic.
- The Manual (Cheat Sheet): Full archive of M-formulas and unpivot patterns.
- Premium Guide: Learn to automate the extraction and transformation of messy data.
Level: Advanced
Topic: Relational Data, Star Schema, and DAX Fundamentals.
- 📥 Download the Day 9 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on building enterprise-scale data models.
- Real-time Validation Engine: Instant ✅/❌ feedback for your modeling logic.
- The Manual (Cheat Sheet): Full archive of DAX measures and schema patterns.
- Premium Guide: Break the 1-million row limit with the Power Pivot engine.
Level: Intermediate
Topic: Input Governance, Dependent Dropdowns, and Error Resilience.
- 📥 Download the Day 8 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on building bulletproof user interfaces.
- Real-time Validation Engine: Instant ✅/❌ feedback for your UI logic.
- The Manual (Cheat Sheet): Full archive of validation methods and error alerts.
- Premium Guide: Master the INDIRECT function for intelligent dependent dropdowns.
Level: Advanced
Topic: The Spilling Revolution, FILTER, SORT, and UNIQUE.
- 📥 Download the Day 7 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on mastering the modern 'Spilling' engine.
- Real-time Validation Engine: Instant ✅/❌ feedback for your array logic.
- The Manual (Cheat Sheet): Full archive of dynamic array solutions.
- Premium Guide: Learn to build auto-updating reports with zero manual dragging.
Level: Intermediate to Advanced
Topic: Temporal Logic, Financial Deadlines, and Working Day Automation.
- 📥 Download the Day 6 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on DATEDIF, EOMONTH, and NETWORKDAYS.
- Real-time Validation Engine: Get instant ✅/❌ feedback as you type.
- The Manual (Cheat Sheet): Full archive of correct formulas and solutions.
- Premium Guide: Visual instructions and function breakdowns for absolute mastery.
Level: Intermediate to Advanced
Topic: Dimensional Analysis, Time Intelligence, and Interactive Dashboards.
- 📥 Download the Day 5 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on summarized analytics and dashboard logic.
- Real-time Validation Engine: Get instant ✅/❌ feedback.
- The Manual (Cheat Sheet): Full archive of correct methods.
- Premium Guide: Mastery-level instructions for high-speed reporting.
Level: Advanced
Topic: Decision Engines, Boolean Logic (AND/OR), and Nested vs IFS.
- 📥 Download the Day 4 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on building 'Spreadsheet Brains'.
- Real-time Validation Engine: Instant ✅/❌ feedback for every logical gate.
- The Manual (Cheat Sheet): Detailed logic breakdowns and answers.
- Premium Guide: Master the complex IF/IFS logic architecture.
Level: Advanced
Topic: Modular logic, 2-Way Lookups, and Performance Architecture.
- 📥 Download the Day 3 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on modular lookup architecture.
- Real-time Validation Engine: Instant ✅/❌ feedback for matrix lookups.
- The Manual (Cheat Sheet): Full archive of INDEX/MATCH configurations.
- Premium Guide: Build bulletproof search engines that never break.
Level: Intermediate to Advanced
Topic: Transitioning from legacy formulas to dynamic, resilient data architecture.
- 📥 Download the Day 2 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on modern data retrieval.
- Real-time Validation Engine: Instant ✅/❌ feedback for your lookups.
- The Manual (Cheat Sheet): Master list of lookup formulas and scenarios.
- Premium Guide: Learn to search across columns with zero effort.
Level: Beginner to Intermediate
Topic: 1-Click Data Cleaning systems.
- 📥 Download the Day 1 Mastery Lab (40 Challenges)
- What's Inside:
- 40 Interactive Tasks on standardized cleaning.
- Real-time Validation Engine: Instant ✅/❌ feedback for your cleaning logic.
- The Manual (Cheat Sheet): Full archive of text cleaning solutions.
- Premium Guide: How to build a 1-click cleaning pipeline.
Muhammad Auwal Abdul Aziz
Data & Onchain Analyst | Content Writer
I build systems that transform raw, chaotic data into high-fidelity on-chain intelligence and actionable insights. This series is designed to share the exact frameworks I use to automate my own workflows.
- X (Twitter): @Ghostieemoh
- LinkedIn: Muhammad Auwal Abdul Aziz
- TikTok / Instagram: @Ghostiemoh
“The goal of a Data Architect is to make the analysis the easiest part of the job.” Follow the series. Build the future.