Excel Regression Models for Business Forecasting

This course is part of Excel Skills for Business Forecasting Specialization

Instructor: Assoc Prof Prashan S. M. Karunaratne

Skills you'll gain

  •   Time Series Analysis and Forecasting
  •   Data Visualization Software
  •   Forecasting
  •   Regression Analysis
  •   Microsoft Excel
  •   Statistical Analysis
  •   Trend Analysis
  •   Statistical Modeling
  •   Business Mathematics
  • There are 5 modules in this course

    This course allows learners to explore Regression Models in order to utilise these models for business forecasting. Unlike Time Series Models, Regression Models are causal models, where we identify certain variables in our business that influence other variables. Regressions model this causality, and then we can use these models in order to forecast, and then plan for our business' needs. We will explore simple regression models, multiple regression models, dummy variable regressions, seasonal variable regressions, as well as autoregressions. Each of these are different forms of regression models, tailored to unique business scenarios, in order to forecast and generate business intelligence for organisations.

    Regression Models

    Multiple Variable Regression

    Dummy Variable Regression

    Seasonal Dummy Regression

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