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Sales Forecasting


Skill Success

Summary

Price
Save 81%
£29 inc VAT (RRP £157)
Offer ends 29 October 2020
Study method
Online, self-paced
Qualification
No formal qualification
Additional info
  • Tutor is available to students
  • Certificate of completion available and is included in the price

1 student purchased this course

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Overview

This course includes lifetime access so you can complete it at your own speed.

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.

Benefits of taking this course include:

  • Unlimited and lifetime access to the course
  • Learn the course at your own pace
  • Course can be accessed on any platform
  • 24/7 Customer support

Course media

Description

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!

You will learn:

  • 3 major sales forecasting methods including moving average, exponential smoothing, and regression
  • 2 additional extensions to the methods for in-depth analysis
  • 5 Excel spreadsheet examples
  • Methods for predicting both seasonality and trends in your sales

Who this course is for:

  • Sales professionals
  • Marketing professionals
  • MBA students
  • Entrepreneurs
  • Statisticians interested in business applications

Sales Forecasting will cover the following topics:

Section 1 - Get Started

  • What Is A Sales Forecast?
  • Baseline
  • Collect Your Data
  • Forecasting Period
  • Think Of Accuracy In Advance

Section 2 - Moving Average

  • Setting Up
  • Noise Cancelation
  • Tracking and Smoothing
  • Example – Moving Average
  • Excel File – Example Moving Average

Section 3 - Trends

  • Trends
  • Example – Trend Forecasting. A Quick Start
  • Understanding Correlations
  • Regression. The Formula
  • Example – Simple Regression
  • Excel File – Example Simple Regression

Section 4 - Seasonality

  • Seasonality
  • Forecasting Seasonal Sales
  • Example – Forecasting Seasonal Sales
  • Excel File – Example Forecasting Seasonal Sales

Season 5 - Becoming A Professional

  • Seasonality And Trend
  • Excel File – Seasonality And Trend
  • Using More Than One Predictor Variable
  • Example – Using More Than One Predictor
  • Excel File – Example Using More Than One Predictor
  • Accuracy Matters
  • Building Confidence

Who is this course for?

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.

Requirements

No prior knowledge is required to take this course.

Career path

None

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