Data Analysis Roadmap

A 15-page branded PDF roadmap for accountants and finance professionals transitioning into data-driven roles. If you're an accountant, auditor, or finance professional who keeps hearing "learn data analysis" but doesn't know where to start — this is your starting point. Not another course. Not a reading list. A practical, reference-linked roadmap with curated YouTube tutorials for every section. What's inside:

1. The purpose of data analysis in finance — why the function is shifting from reporting the past to shaping the future

2. The four types of analysis — Descriptive, Diagnostic, Predictive, Prescriptive — each with real finance examples (P&L summaries, variance decomposition, cash flow forecasting, capital allocation)

3. Foundational skills — Excel (power-user level), Statistics & Probability, SQL — the three skills that separate a traditional accountant from a data-driven one

4. Data visualization & storytelling — chart selection guide for finance, design principles, Power BI tutorials

5. Python for finance — fundamentals, Pandas, time series & forecasting

6. Data quality & preparation — the 6 dimensions of data quality with finance examples

7. Portfolio & career transition — 5 project ideas, career progression table (Accountant → Data Analyst → FP&A → Analytics Manager)

8. A 90-Day Learning Sprint — week-by-week plan: Excel + SQL (Days 1–30), Power BI + Statistics (Days 31–60), Python + Forecasting (Days 61–90) 57+ clickable references — every YouTube course, article, and resource is linked. Free courses from Luke Barousse, Alex The Analyst, CFI, freeCodeCamp, and more.

Who this is for: - Accountants who want to add data analysis to their skill set - Finance professionals feeling the pressure of automation - Career shifters exploring data analyst roles - Anyone who wants a structured plan instead of scattered tutorials

Format: PDF (15 pages, A4) — available in English and Arabic (RTL)

About me: I run Data & Analytics at Emicool, ship production AI (RAG, agents, predictive models), hold an MSc in Data Science (Heriot-Watt), and coach from the operator's seat, not a textbook. This roadmap is the same framework I use in my 1:1 coaching sessions — packaged as a self-paced reference.

Languages: English and Arabic versions available