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ovianelalune

Making Sense of Numbers That Actually Matter

Financial data doesn't have to feel like decoding alien transmissions. Our courses help you read patterns, spot what's hiding in spreadsheets, and communicate findings that get listened to—not ignored.

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Financial data analysis workspace

What You'll Actually Learn

Not vague promises. Not theory that sounds good on paper. Real techniques that you can apply the week after class—whether you're analyzing budgets or explaining variance to people who hate spreadsheets.

Reading Between the Rows

Learn to spot the patterns that most people miss. When numbers tell conflicting stories, you'll know which one to trust and which questions to ask next.

Explaining Without Jargon

Master the skill of translating complex financial data into language that stakeholders actually understand—without dumbing it down or losing the important details.

Building Your Toolkit

Get comfortable with the methods that experienced analysts rely on daily. We focus on approaches that work across industries, not just finance departments.

Students engaged in financial analysis discussion

How the Program Works

We've designed this as a gradual build. Start with foundations, then layer in complexity as your confidence grows. Most participants are ready for real-world application within the first few weeks.

  • 1

    Foundation Phase

    Get comfortable with data structures and basic interpretation techniques. This sets you up for everything that follows.

  • 2

    Pattern Recognition

    Learn to identify trends, anomalies, and relationships that matter. This is where insights start happening naturally.

  • 3

    Practical Application

    Work through scenarios based on real company situations. Apply what you've learned to messy, imperfect datasets.

  • 4

    Communication Skills

    Practice presenting findings in ways that lead to actual decisions and action, not just more meetings.

Learn About Our Approach
Portrait of Marlowe Cassidy, Financial Data Instructor

Marlowe Cassidy

Lead Instructor

Who's Teaching This

Marlowe spent twelve years analyzing financial data for companies that ranged from startups to multinationals. She's dealt with incomplete datasets, shifting priorities, and executives who wanted answers yesterday. Now she teaches others how to handle those same challenges.

What makes her approach different? She focuses on the judgment calls that textbooks don't cover—when to dig deeper, when a number looks right but feels wrong, and how to communicate uncertainty without sounding uncertain.

  • Variance analysis and forecasting techniques
  • Data visualization that actually clarifies
  • Building analysis frameworks from scratch
  • Presenting findings to non-financial audiences

The best analysts aren't the ones who know every formula. They're the ones who know which questions to ask when the data doesn't match expectations—and who can explain what they found in a way that leads to better decisions.

Upcoming Webinars and Sessions

We run free introductory sessions throughout the year. They're a good way to see if our teaching style works for you before committing to a full program. Sessions typically run September through November 2025.

Introduction to financial reporting workshop

Reading Financial Reports

Learn what matters in quarterly reports and annual statements. We'll walk through real examples and show you what experienced analysts look for first.

September 2025

Data visualization techniques session

Making Data Visual

Stop making charts that confuse people. This session covers visualization choices that clarify rather than complicate your message.

October 2025

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