Forecasting Using Quantitative and Qualitative Methods paid course free. Sales Forecasting Methodology. The concept of forecasting and how to do sales forecasting using different quantitative and qualitative methods
- The concept of forecasting and how to do sales forecasting using different quantitative and qualitative methods
Forecasting Using Quantitative and Qualitative Methods Course Requirements
- Excel basics
Forecasting Using Quantitative and Qualitative Methods Course Description
Prediction is the process of predicting or best estimating the future based on some data and experience. A common use is sales forecasting, which is used to predict the sales of an entity at a specific future data point.
The technology used varies according to the data you have or accessible, and the predicted goals. This process is essential to the correct understanding and application in any business, and is one of the key activities in any business plan.
Whether you are a general manager, a sales or marketing professional, a business or research analyst, or an enthusiastic student who wants to learn predictive techniques, this course will help you understand effective predictive methods. :-Forecast definition and classification overview-5 different methods of quantitative forecasting and their application methods-4 different methods of qualitative forecasting and their use methods-the differences between all technologies, and the advantages and disadvantages of each technology. .-
How to use Excel to implement the main technology and how to merge multiple technologies. The course demonstrates the theoretical concepts for understanding each type of prediction, as well as many examples and exercises, as well as case studies for practical implementation of the knowledge learned. You will find quizzes in the course to check your understanding, and all the Excel files, templates and solutions provided in the course will also be provided to you.
Who this course is for:
- Sales Managers and Sales People
- General Managers
- Marketing Professionals
- Data & Business Analysts
- Anyone who is curious about forecasting techniques