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 fast-moving business environments, variance analysis is more than just reporting — it’s strategic insight.

This course equips finance and operations professionals to move beyond identifying differences between actual and standard costs and instead analyze, interpret, and communicate what those variances mean for business performance. You’ll calculate price, quantity, and mix variances using standard cost formulas, apply these concepts to real-world data templates, and learn to spotlight unfavorable variances that demand management attention. By the end, you’ll be ready to transform variance data into actionable intelligence for cost control and forecasting.

Revenue forecasting is at the core of every financial plan—and the quality of your assumptions can shape business strategy. In this intermediate-level course, you’ll learn how to use two key forecasting frameworks: top-down and bottom-up. You’ll compare how each method builds projections from different starting points—market size versus operational data—and explore when to use one over the other. Then, you’ll apply scenario analysis to create a three-case model that captures optimistic, base, and pessimistic outcomes. Guided videos, readings, and spreadsheet-based labs walk you through building, testing, and visualizing forecasts that reveal both risk and opportunity. Along the way, you’ll practice explaining your results clearly and confidently to non-finance audiences.

Modern finance teams operate in an environment where accuracy, speed, and adaptability define success, and traditional incremental budgeting often falls short in keeping pace with rapid business change. This applied course introduces learners to zero-based budgeting (ZBB) principles and guides them through building budgets from the ground up, structuring and coding departmental costs in Excel, and using AI-powered tools such as ChatGPT or Excel Copilot to speed up variance detection and narrative preparation. Through a combination of guided videos, hands-on Excel labs, and reflective Coach dialogues, learners connect budgeting theory with real-world execution and build the skills needed to analyze and manage costs with greater precision.

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.