Domain
Financial Analysis Program

Tools that analysts actually use

A structured webinar program covering real-world financial analysis software — from data modelling in Excel to advanced platforms used across institutional research desks.

8 Live Sessions
3 Expert Instructors
6 wks Duration
Financial analysis software interface on screen
Program Structure

What the six weeks cover

Spreadsheet Modelling

Financial models built from scratch in Excel and Google Sheets. The focus is on structure discipline — separating inputs, calculations, and outputs so a model another analyst can audit.

  • Three-statement model architecture
  • Scenario and sensitivity analysis
  • Dynamic chart output layers
  • Named ranges and audit trails
2 sessions

Market Data Platforms

Hands-on orientation to data terminals and subscription tools — how to pull equity data, compare multiples across peers, and export structured datasets for further modelling.

  • Screening and filtering equities
  • Comparable company tables
  • Historical price and volume data
  • API-based data extraction basics
2 sessions

Valuation Methods and Reporting Tools

The final two modules examine how analysts communicate results — not just the numbers behind them. Discounted cash flow models, comparable analysis, and precedent transactions each carry different assumptions, and participants work through cases where those assumptions change the conclusion. Reporting tools including Tableau and Power BI are introduced in practical contexts: building dashboards for quarterly reviews, visualising segment performance, and presenting output to non-specialist audiences. Sessions include live screen-sharing so participants follow along with real data.

Valuation is an argument — learning to state the assumptions clearly matters as much as running the numbers.

4 sessions
Live webinar session on financial modelling tools
Live broadcast — participants follow along in real time
Instructors & Schedule

Who runs the sessions and how they are structured

Yael Brodeur, Senior Financial Analyst

Yael Brodeur

Senior Financial Analyst

Yael has worked inside equity research teams at two mid-market investment banks. She leads the modelling modules and designs the case studies participants work through during live sessions — most drawn from actual coverage reports with identifying details changed.

Fiona Whitfield, Data Modelling Specialist

Fiona Whitfield

Data Modelling Specialist

Fiona focuses on the platform and data extraction sessions. Her background is in financial data engineering — she spent several years building internal tools for a portfolio analytics firm before moving into training. She covers the API modules and spreadsheet architecture segments.

Amara Stein, Equity Research Practitioner

Amara Stein

Equity Research Practitioner

Amara leads valuation and reporting sessions. She currently works as an independent research consultant and brings her current practice directly into the classroom — showing participants the tools and workflows she uses on active projects, including dashboard builds in Power BI.

Program Details

Format Live webinar, interactive
Sessions 8 sessions total
Session length 90 minutes each
Frequency Twice weekly
Duration 6 weeks
Language English
Recording access 30 days post-session
Q&A Live, each session
Cohort size Max 40 participants
Register for the program
Questions about prerequisites or session timing? Write to [email protected] — the team replies within one business day.