- Certificate of completion - Free
- Tutor is available to students
Digital certificate - Included
Who this course is for:
What you'll learn:
Sales forecasting is not magic. This is a real thing called predictive analytics. You do not have to be a rocket scientist to understand it. With this course, you do not need to know higher mathematics at all.
Real business forecasting uses quantitative data collection methods, mathematics, and logical reasoning. There is very little guesswork involved and much to be gained for the business owner. Your historical data can be used to make accurate predictions about what will happen in the future, allowing you to order the appropriate amount of stock, hire enough employees, and ensure your business runs smoothly. The financial gains that can be achieved with business forecasting are real and can be achieved with the help of basic Excel techniques.
SCANBA produced this high quality, easy to understand, professional level course that is right for you, as a person interested in business education. Sales Forecasting by SCANBA is the course that will teach you how to forecast your sales in real life.
Trends? No problem! Seasonality? You got it! Accuracy? Nail it down.
By looking at data from the past, you can extrapolate trends that will allow you to make forecasts that are more accurate. These forecasts can be useful in all areas of business from sales, to management, to marketing. With your new knowledge on forecasting, you are on your way to making better business decisions.
With Excel examples, and professional lectures, you will learn the topic in just one hour!
Sales Forecasting will cover the following topics:
Section 1 - Get Started
Section 2 - Moving Average
Section 3 - Trends
Section 4 - Seasonality
Season 5 - Becoming A Professional
This course is designed for those interested to learn the basics of forecasting sales for your business by knowing major forecasting methods including moving average, exponential smoothing, and regression, as well as methods for predicting both seasonality and trends.
No prior knowledge is required to take this course.
None
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