Marketing Analytics: Forecasting Models with Excel – Learn Forecasting Models

Marketing Analytics: Forecasting Models with Excel – Learn Forecasting Models

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

What you’ll learn

Marketing Analytics: Forecasting Models with Excel – Learn Forecasting Models

• Become proficient in using powerful tools such as excel solver to create forecasting models
• Learn about two of the most used forecasting tools: simple linear and simple multiple regression
• Learn how to estimate the trend and seasonal aspects of sales
• How to generate forecasts using the Ratio to Moving Average forecasting method
• Forecast using dynamic trend and seasonal index using Winter’s method
• Learn to forecast for a new product launch with little or no history about sales of a product
• Learn how to use S Curves to Forecast Sales of a New Product
• How to forecast product sales even before the product comes to market using popular the Bass diffusion model
• In-depth knowledge of data collection and data preprocessing for Linear Regression problem
• Understand how to interpret the result of a Linear Regression model and translate them into actionable insight

Requirements

• You will need a PC with any version of Excel installed in it
• Basic understanding of Excel operations like opening, closing and saving a file

Description

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 right Marketing Analytics: Forecasting Models with Excel! This course teaches you everything you need to know about different forecasting models and how to implement these models in Excel using advanced excel tools.

After completing this course you will be able to:

• Implement forecasting models such as simple linear, simple multiple regression, Ratio to Moving Average, Winter’s method for exponential smoothing with trend and seasonality, famous Bass diffusion model, and many more.
• Increase revenue/profit of your firm by implementing accurate forecasting using Excel solver Add-in
• Confidently practice, discuss and understand different Forecasting models used by organizations

Verifiable Certificate of Completion is presented to all 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 most popular forecasting models and how to implement it.

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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 used in each lecture
• Class notes and assignments to revise and practice the concepts

The practical classes where we create the model for each of these strategies is something that differentiates this course from any 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 firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of Marketing and data analytics in this course

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

This is very good, I love the fact the all explanation given can be understood by a layman – Joshua

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

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet, or anything related to any topic, you can always post a question in the course or send us a direct message.

With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.

What is covered in this course?

Understanding how future sales will change is one of the key information needed by the manager to make 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 will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important.

•

We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do 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 linear regression and then covers multiple linear regression. We have covered the basic theory behind each concept without getting too mathematical about it so 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 okay as long as you learn how to run and interpret the result as taught in the practical lectures.

• Section 5 – Handling Special events like Holiday sales

In this section, we will learn how to incorporate the 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 – Handling Changing Trend & Seasonality over time

In this section, we will learn about Winter’s Method that changes trend and seasonal index estimates during each period has a better chance of keeping up with changes than other methods.

• Section 8 – Forecasting models for New Products

In this section, we will learn techniques to forecast new product sales. It is difficult to forecast when we have little or no historical data.

I am pretty confident that the course will give you the necessary knowledge and skills to immediately see practical benefits in your workplace.

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

Cheers