At the end of this course, the participants should be able to:
• Know forecasting and its importance
• Know forecasting methods
• Learn about the concept of time series and its components
• Measure the general direction of the time series
• Analyze seasonal and periodic changes to the time series

Forecasting Concept & Importance

Forecasting Techniques

Concept of Time Series

Time Series Components.

General Trend
• Determination of the Trend Line
• Naive Approach
• Moving Averages
• Weighted Moving Average
• Exponential Smoothing Method.
• Least Square Method.
Forecast Accuracy

Non-Linear Trends
• Quadratic Model
• Exponential Model

Seasonal Variations Analysis of Time Series

Cyclical Variations Analysis of Time Series

Irregular Variations Analysis of Time Series

Statistical Models for Forecasting by using Excel Software

• The concept of prediction, its importance, and methods
• Analysis of changes
• Building prediction models
• Microsoft Excel application

This training course will be carried out through the use of best practices and the right combination of engaging and purposeful tools such as:
• Practical, relevant case studies
• Workshops and group activities
• Related role plays
• Experiential learning
• Brain storming
• Stimulating mental activities
• Engaging team competitions
• Suitable training Videos
• Presentations
• Self–assessments
• Learning with Simulations and Games

Managers, supervisors, team leaders, and researchers who will benefit from time series analysis and forecasting to efficiently fulfill their tasks and responsibilities.