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.
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Habilidades que obtendrás
Universidad de Macquarie
Macquarie is ranked among the top one per cent of universities in the world, and with a 5-star QS rating, we are recognised for producing graduates who are among the most sought-after professionals in the world. Since our foundation 54 years ago, we have aspired to be a different type of university: one focused on fostering collaboration between students, academics, industry and society.
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Principales reseñas sobre EXCEL REGRESSION MODELS FOR BUSINESS FORECASTING
I never new I'd like regression, thanks to Dr Prashan! His skills in teaching is very clear and concise. The lessons are easy to follow. Perfect for beginners.
A step-by-step guide for business forecasting! Very easy to follow and the course brush up my statistics on linear regression as well.
Learning this course was fantastic, it really improved my knowledge for excel and regression
The lecturer did great demonstrating how equation looks like on business application.
Acerca de Programa especializado: Excel Skills for Business Forecasting
The current state of the world makes business forecasting even more fundamental to the operation of institutions. In this Specialization we focus on Excel Skills for Business Forecasting in three courses — Time Series Models, Regression Models, and Judgmental Forecasting.
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