Marketing Analytics: Forecasting Models with Excel

Master Marketing Analytics| Forecasting and Time Series analysis | Sales Forecasting| Build Forecasting models in Excel

  • 4.0 (97 ratings)
  • 5,722 students enrolled
  • Created by Start-Tech Academy
  • Last updated 4/2020
  • English


You’re looking for a complete course on understanding Forecasting models to drive business decisions involving production schedules, inventory management, manpower planning, and many other parts of the business., right?

You’ve found the proper Marketing Analytics: Forecasting Models with Excel! This course teaches you everything you would like to understand about different forecasting models and the way to implement these models in Excel using advanced excel tools.

After completing this course you’ll be able to:

  • Implement forecasting models like simple linear, simple multiple correlations, Ratio to Moving Average, Winter’s method for exponential smoothing with trend and seasonality, famous Bass diffusion model and lots of more.
  • You can increase your company’s profits/profits by implementing accurate forecasts with the Excel solver add-on
  • Confidently practice, discuss and understand different Forecasting models employed by organizations

How this course will help you?

A Verifiable Certificate of Completion is presented to all or any students who undertake this Marketing Analytics: Forecasting Models with Excel course.

If you are a business manager or an executive, or a student who wants to learn and apply forecasting models in real-world problems of business, this course will give you a solid base by teaching you the foremost popular forecasting models and the way to implement it.

Why should you choose this course?

We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:

  • Theoretical concepts and use cases of different forecasting models
  • Step-by-step instructions on implement forecasting models in excel
  • Downloadable Excel file containing data and solutions utilized in each lecture
  • Class notes and assignments to revise and practice the concepts

The practical classes where we create the model for every one of those strategies are some things that differentiate this course from the other course available online.

What makes us qualified to teach you?

The course is taught by Abhishek and Pukhraj. As managers in Global Analytics consulting company, we’ve helped businesses solve their business problem using Analytics and that we have used our experience to incorporate the sensible aspects of Marketing and data analytics in this course

We also are the creators of a number of the foremost popular online courses – with over 170,000 enrollments and thousands of 5-star reviews like these ones:

This is excellent, I really like the very fact the all explanation given is often understood by a layman – Joshua

Thank you Author for this wonderful course. You are the simplest and this course is worth any price. – Daisy

Our Promise

Teaching our students is our job and that we are committed thereto. If you’ve got any questions on the course content, practice sheet or anything associated with any topic, you’ll always post an issue within the course or send us a direct message.

Download Practice files take Quizzes and complete Assignments

With each lecture, there are attached class notes that you can follow. You can also take quizzes to see your understanding of concepts. Each section contains a training mission for you to carry out your educational process.

What is covered in this course?

Understanding how future sales will change is one of the key information needed by managers to require data-driven decisions. In this course, we will explore how one can use forecasting models to

  • See patterns in time series data
  • Make forecasts based on models

Let me give you a brief overview of the course

  • Section 1 – Introduction

In this section, we will learn about the course structure

  • Section 2 – Basics of Forecasting

In this section, we will discuss the basic of forecasting and we will also learn the easiest way to create a simple linear regression model in Excel

  • Section 3 – Getting Data Ready for Regression Model

In this section, you’ll learn what actions you would like to require a step by step to urge the info then prepare it for the analysis these steps are very important.

We start with understanding the importance of business knowledge then we’ll see the way to do data exploration. We find out how to try to univariate analysis and bivariate analysis then we cover topics like outlier treatment and missing value imputation.

  • Section 4 – Forecasting using Regression Model

This section starts with a simple rectilinear regression then covers multiple rectilinear regression.We have covered the essential theory behind each concept without getting too mathematical about it in order that you understand where the concept is coming from and how it is important. But even if you don’t understand it, it will be fine as long as you learn how to operate and interpret the result as it is taught in practical lectures.

We also check out the way to quantify models’ accuracy, what’s the meaning of F statistic, how categorical variables within the independent variables dataset are interpreted within the results.

  • Section 5 – Dealing with special events such as holiday sales

In this section we’ll find out how to include effects of Day of Week Effect, Month Effect or any special event such as Holidays, payday, etc.

  • Section 6 – Identifying Seasonality & Trend for Forecasting

In this section we will learn about trends and seasonality and how to use the Solver to develop an additive or multiplicative model to estimate trends and seasonality. We will also learn how to use moving averages to eliminate seasonality to easily see trends in sales.

  • Section 7 – Dealing with the trend and seasonal change over time

In this section, we will learn about the winter style that changes trends and seasonal seasons during each period has a better opportunity to keep pace with changes than other methods.

  • Section 8 – Forecasting models for New Products

In this section we’ll learn techniques to forecast new product sales. It is difficult to forecast once we have little or no historical data. The S curve are often used once we have little data and therefore the famous bass diffusion model are often wont to predict product sales even before the merchandise is launched in the market.

I am pretty confident that the course will offer you the required knowledge and skills to right away see practical benefits in your work place.

Go ahead and click on the enroll button, and I’ll see you in lesson 1


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