Turn raw numbers into real insight. In this short, hands-on course, you’ll learn how to summarize data accurately and interpret what it means. You’ll explore key measures of central tendency, recognize when skewed data make the median a better choice, and apply descriptive statistics to reveal data patterns. Using Excel or RStudio, you’ll calculate, visualize, and communicate results clearly for professional audiences. By the end, you’ll know how to transform large datasets into credible, decision-ready summaries that tell the true story behind the numbers.

This course guides you through the process of transforming raw financial data into a clean, trustworthy dataset using Python and pandas. You’ll begin by exploring how to load data into a notebook environment and conduct quick inspections to identify structural issues, formatting inconsistencies, unusual numeric patterns, and missing values. Building on these observations, you’ll apply essential cleaning techniques used by analysts every day—fixing data types, standardizing text categories, resolving or documenting missingness, and removing duplicates. Through guided walkthroughs, hands-on practice, and interactive reflection, you’ll develop a repeatable workflow you can apply to budgeting, forecasting, reporting, or any analysis that relies on sound financial information. By the end of the course, you’ll confidently prepare analysis-ready datasets, make informed cleaning decisions, and communicate your process clearly to colleagues and stakeholders.

Assessing deals isn’t just about crunching numbers—it’s about understanding where value and risk truly lie. In this intermediate-level course, you’ll learn how to evaluate investment opportunities using core financial modeling and risk management techniques. You’ll start by building a simple three-year cash-flow model to calculate key metrics like IRR, NPV, and payback period, and to identify the assumptions that drive value. Then, you’ll shift to the other side of the equation—analyzing how market, operational, and regulatory risks can alter returns and shape deal outcomes. Through short videos, concise readings, and realistic hands-on exercises, you’ll practice thinking like a corporate analyst: modeling uncertainty, testing assumptions, and presenting results with confidence. By the end, you’ll be able to build and interpret financial models that stand up to scrutiny and communicate a deal’s true potential—skills that matter in every investment, budgeting, or strategic finance role.