In this short, practical course, you’ll learn how to use supervised learning to forecast key business metrics and uncover the drivers that shape performance. Through hands-on exercises in Python, you’ll build and tune regression and gradient-boosted models to predict outcomes such as next-quarter EBITDA. Then, you’ll apply explainable AI techniques, including SHAP and feature importance, to translate model outputs into clear, actionable business insights. By the end of the course, you’ll be able to evaluate forecast accuracy, identify which variables truly drive results, and communicate your findings in simple, stakeholder-ready language. Designed for analysts and data professionals, this course helps you connect data science methods to real-world business forecasting and decision-making.
Forecast Business Metrics: Uncover Value Drivers
Forecast Business Metrics: Uncover Value Drivers
This course is part of Applied Financial Analysis Specialization
Instructor: ansrsource instructors
Included with
Recommended experience
Skills you'll gain
- Key Performance Indicators (KPIs)
- Data Science
- Forecasting
- Business Analytics
- Data Storytelling
- Supervised Learning
- Stakeholder Communications
- Predictive Analytics
- Financial Forecasting
- Regression Analysis
- Scikit Learn (Machine Learning Library)
- Data-Driven Decision-Making
- Business Metrics
- Feature Engineering
- Exploratory Data Analysis
- Model Evaluation
- Applied Machine Learning
- Predictive Modeling
- Performance Analysis
Details to know
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February 2026
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There is 1 module in this course
In this short, practical course, you’ll learn how to use supervised learning to forecast key business metrics and uncover the drivers that shape performance. Through hands-on exercises in Python, you’ll build and tune regression and gradient-boosted models to predict outcomes such as next-quarter EBITDA. Then, you’ll apply explainable AI techniques, including SHAP and feature importance, to translate model outputs into clear, actionable business insights. By the end of the course, you’ll be able to evaluate forecast accuracy, identify which variables truly drive results, and communicate your findings in simple, stakeholder-ready language. Designed for analysts and data professionals, this course helps you connect data science methods to real-world business forecasting and decision-making.
What's included
5 videos4 readings5 assignments
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