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Using Data in Financial Analysis

Using Data in Financial Analysis

1h 44mIntermediate2023-11-17

Authors

Michael McDonald

Michael McDonald

Researcher and Professor of Finance at Fairfield University

Course details

Big data has transformed the world of business. Yet many people don't understand what big data and business intelligence are, or how to apply the techniques to their day-to-day jobs. This course addresses that knowledge gap, giving businesspeople practical methods to create quick and relevant business forecasts using big data. Join Professor Michael McDonald and discover how to use predictive analytics to forecast key performance indicators of interest, such as quarterly sales, projected cash flow, or even optimized product pricing. Learn how to gather, compute, and use basic financial ratios, and then how to apply those ratios for forecasting purposes looking at key outcomes for the firm. All you need is Microsoft Excel. Michael uses the built-in formulas, functions, and calculations to perform regression analysis, calculate confidence intervals, and stress test your results. You'll walk away from the course able to immediately begin creating forecasts for your own business needs.

Skills covered

Corporate FinanceData EngineeringMicrosoft ExcelFinance and AccountingData AnalysisData ScienceBusiness Analysis and StrategyBusiness Software and ToolsMicrosoftDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - The power of data in financial analysis

1. The Basics

  • 02 - Data and business
  • 03 - Conventional financial analysis
  • 04 - Basics of financial regression analysis
  • 05 - Predict values with regression analysis
  • 06 - Doing a forecast in Excel

2. Financial Analysis

  • 07 - Financial analysis with data
  • 08 - Tying data to financial statements
  • 09 - Financial ratios with data
  • 10 - Benchmarking the competition
  • 11 - Trend analysis in ratios

3. Forecasting in Finance

  • 12 - Decide on a finance question
  • 13 - Gather financial data
  • 14 - Clean financial data
  • 15 - Regression analysis in finance
  • 16 - Regressions for forecasting

4. Interpret Forecast Results

  • 17 - What do the results mean
  • 18 - Confidence intervals around the result
  • 19 - Stress testing the results

Conclusion

  • 20 - Stress testing the results

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