Course overview
Description generated based on course syllabus and open data.
The curriculum systematizes work with financial statements and turns CF, BS, and P&L data into interpretable indicators for management decisions. It includes hands-on tasks on real cases, ratio building, trend analysis, the DuPont model, and cash flow valuation (DCF, NPV, IRR).
Financial analysis: what the program covers
- CF, BS, P&L: preparation, checks, and cross-statement consistency.
- Liquidity, turnover, profitability ratios; trend analysis by periods.
- DuPont model for profitability decomposition.
- DCF, NPV, IRR: valuation of cash flows and scenario checks.
- Interpretation of results for management decisions.
Practice on company reports
Work with real statements, build multi-year dynamics, detect drivers of change, and validate hypotheses on data.
Who financial analysis fits / who it does not
- Fits: finance managers, analysts, business owners, functional leads, accountants moving to FP&A, PMs and product roles working with P&L.
- Does not fit: those seeking theory only; roles not dealing with numbers or without plans to apply CF/BS/P&L in operations.
Problem → outcome in financial analysis
- Problem: scattered data, unlinked statements. Outcome: consistent CF–BS–P&L with integrity checks.
- Problem: unclear profitability sources. Outcome: DuPont-based decomposition and factor analysis.
- Problem: difficult investment evaluation. Outcome: DCF with NPV, IRR and sensitivity to assumptions.
- Problem: poor period comparability. Outcome: multi-year trends, normalized data, ratio-based view.
Comparison with alternatives in financial analysis
- Self-guided content search: fragmented methods without a coherent CF–BS–P&L logic and consistency rules.
- Accounting-only focus: regulatory reporting without managerial interpretation or DCF methodology.
- BI-only approach: visuals without DuPont, DCF, or transparent data transformation practices.
Outcomes of mastering financial analysis
- Linked CF–BS–P&L model and data validation routines.
- Calculation and interpretation of core ratios.
- DuPont model for identifying profitability drivers.
- DCF valuation: NPV, IRR, discount rate, scenarios and sensitivity.
- Preparation of data-backed conclusions for management decisions.
Tools and cases
Templates for hands-on tasks, real-company case reviews, and a final coherent model with explicit assumptions.
Lecturer
Valentyn Vorobiov: Ex-CFO at Budynok Igrashok, Management Consultant at Centida UK, 20+ years in finance and automation (Nova Poshta, Beeline/Veon, Ukrtelecom, Tespro), implementations in Microsoft Dynamics AX, 1C, SAP; experience with Big4 audits.
