Excel Regression Models for Business Forecasting
Key Takeaways
Teaches regression models for business forecasting using Excel
Original Description
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.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Related Reads
📰
📰
📰
📰
Boosting Startups with Data Science: A Practical Guide to Data-Driven Growth
Medium · Startup
One Lake, Five Patterns: Rethinking the Enterprise Data Foundation
Medium · Data Science
The Python Automation Libraries That Changed How I Build Data Workflows
Medium · Machine Learning
The Python Automation Libraries That Changed How I Build Data Workflows
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI