Sales Forecasting

Learn practical sales forecasting methods with Excel in 1 hour

4.47 (800 reviews)
Udemy
platform
English
language
Data & Analytics
category
Sales Forecasting
2,869
students
1 hour
content
Feb 2024
last update
$49.99
regular price

What you will learn

Forecast sales: trends, seasonal sales, trends+seasonality

Organize and store sales data

Drive forecasts to high accuracy

Report forecasting results with confidence

Why take this course?

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 high quality, easy to understand, the 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

By the end of the course, you will be able to pass an exam and receive a personalized certificate of completion from the Scandinavian Institute of Business Analytics. 

Take the course, now -- remember, you are investing in yourself.  The certificate from the Scandinavian Institute of Business Analytics will prove your expertise to others. 

Screenshots

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Reviews

Minita
November 7, 2023
For someone that doesn't have a lot of background in this, it felt like it wasn't a beginner level class.
James
August 22, 2023
I think the concepts and principles of forecasting are on point. However, the way it was presented needs a lot of improvement. Not engaging, and most of the time it was explained very briefly with no additional examples.
Shiva
July 21, 2023
It was a Good start on the Forecasting Journey for me, smooth, crisp explanation and valuable examples; however in the final sections of the course, there was a hurry for the final lift off and end the course content.
Kailey
April 29, 2023
The information at a high level was good, but it went so deep so fast through the different formulas & calculations without explaining what the goal of the calculation was. Not sure I would classify the second half of this course as "beginner".
Christopher
December 24, 2022
Really enjoyed the course, super short, but packed full of much need information. It didn't hit all the targets I was looking for, since some data can have stock out which can mess up the overall data, but it is very helpful on those items with steady monthly patterns. The Excel Formulas might need to be explained a little bit better for people with little Excel experience, but Advance user will know the correct formula layout
Ricardo
November 11, 2022
Sim. Acabei de concluir um curso a respeito de forecasting e este curso foi um excelente complemento e muito esclarecedor de algumas arestas que tinham ficado no curso que fiz.
Julia
September 20, 2022
Some great ideas, and some things to implement immediately, but the more challenging stuff is glossed over very quickly, and without creating enough context. Some nice Excel pointers in places, and an absolute lack of Excel pointers in others.
Dauna
September 12, 2022
This course was an excellent quick overview of sales forecasting. It provides enough information to get started, which I was looking for, instead of a long lecture on statistics.
Nick
August 30, 2022
This is a good general review of forecasting concepts. The examples are very basic but the math seems more advanced. I consider this a good crash course that raises more questions to take another more in-depth course, or Google a ton. Thanks!
AnthonyLam
August 4, 2022
Easy to understand! Nice animated short course! One suggestion, can also make a different version like using google spreadsheet? since i dun use m$ excel .... tough the concepts are useful!
Jeanmarc
July 14, 2022
The information are really general and I was expecting more in depth details and tricks related to sales and forecasting. As well, more realistic examples and some information related to forecasting in case you don't have a history data. Yet, let's wait till the end of the course and see if this gets better.
Hiba
March 8, 2022
The course was a good revision of the concepts I had studies earlier. However, the instructor was a little fast and I face a bit of problems since I was using Google sheets instead of MS excel.
Jordan
February 25, 2022
For an intermediate course, Section 1 was a bit simplistic, especially how to create a table in Excel. Otherwise, the course was a good introduction to the topic.
Tiffany
September 17, 2021
Good refresher for those who already know basic forecasting methods. Helpful to have Excel examples to play with as well.
M
August 29, 2021
Very suitable for beginners and intermediates, easy to understand, simple and comprehensive. Highly recommended.

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400282
udemy ID
1/21/2015
course created date
11/23/2019
course indexed date
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