Forecasting Models for Beginners

Forecasting Models for Beginners provides participants with essential skills in demand forecasting and planning tailored for the retail and logistics sectors. The course emphasizes practical application through project-based learning, allowing attendees to engage with real-world scenarios and datasets. Participants will gain hands-on experience in developing forecasting models, understanding their implications, and utilizing them to enhance decision-making processes within their organizations.
Throughout the course, learners will explore various forecasting techniques, including time series analysis and causal modeling. Emphasis will be placed on the interpretation of forecasting results and their application in strategic planning. By the end of the program, participants will not only have a solid foundation in forecasting principles but also the ability to publish their findings in Cademix Magazine, showcasing their expertise to a broader audience.
Introduction to Demand Forecasting
Overview of Forecasting Models
Time Series Analysis Techniques
Causal Forecasting Methods
Data Collection and Preparation for Forecasting
Evaluating Forecast Accuracy
Seasonal and Trend Analysis
Utilizing Software Tools for Forecasting (e.g., Excel, R)
Developing a Comprehensive Forecasting Plan
Final Project: Create and Present a Forecasting Model

Equip participants with foundational knowledge and practical skills in demand forecasting to enhance their career prospects in retail and logistics.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Basic understanding of statistics and familiarity with spreadsheet software.