Financial modeling is more than numbers; it’s the language of business decisions. In this intermediate-level course, you’ll learn how to interpret and build the two most common frameworks in finance: the three-statement model and the discounted-cash-flow (DCF) model. You’ll start by exploring how each framework serves a different purpose, one for understanding operational performance, the other for assessing long-term value. Then, you’ll apply accounting principles to connect the income statement, balance sheet, and cash flow statement into a dynamic, integrated model. Through guided videos, readings, and hands-on practice, you’ll build confidence using formulas to test how small changes, like a 5 % sales driver, flow through to free cash flow. You’ll also practice communicating financial insights clearly through short, professional writing tasks. By the end, you’ll be able to evaluate business scenarios with models that are accurate, transparent, and ready for real-world use, skills essential for analysts, finance professionals, and decision-makers alike.

In this course, you will strengthen your data hygiene skills by organizing and standardizing financial data so it is clean, consistent, and ready for analysis. You will summarize and evaluate financial information using realistic scenarios, linking multiple data sources to build a simple and digestible summary page for your stakeholders. You will also automate key summary values so they update when raw data changes, and you will determine whether you are over or under budget by comparing actual spend against planned targets. Together, these techniques will help you answer practical financial questions without searching through multiple sheets or relying on manual calculations. By the end, you will be able to turn raw data into clear, dependable insights that support fast and confident decision-making.

In this course, you will learn how to prepare a dataset for reliable analysis and use Power BI to turn it into a clear, actionable visual. You will start by reviewing and correcting an Excel file so Power BI can interpret categories, numbers, and dates accurately. Then, you will import the validated dataset into Power BI Desktop, build a clean visual, refine it for readability, and publish your report to Power BI Service. You will also learn how to share your report with teammates and observe how they interpret and interact with your visual. By working through this process end to end, you will develop the skills needed to create accurate, trustworthy financial reports that support strong decision-making.