Marketing Analytics: Forecasting Models with Excel

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

4.57 (1556 reviews)
Udemy
platform
English
language
Analytics & Automation
category
131,822
students
7 hours
content
Jan 2022
last update
$29.99
regular price

What you will learn

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

Learn to generate forecasts using the Ratio to Moving Average forecasting method

Forecast using dynamic trend and seasonal index using Winter's method

Learn forecasting for 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

Learn how to forecast product sales even before the product comes to market using popular the Bass diffusion model

Indepth knowledge of data collection and data preprocessing for Linear Regression problem

Understand how to interpret the result of Linear Regression model and translate them into actionable insight

Description

You're looking for a complete course on understanding Forecasting models and forecasting analytics to drive business decisions involving production schedules, inventory management, manpower planning, demand forecasting, 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 for devising forecasting analytics in Excel using advanced excel tool.

After completing this course you will be able to:

  • Implement forecasting analytics and 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 analytics using Excel solver Add-in

  • Confidently practice, discuss and understand different Forecasting analytics strategies and forecasting models used by organizations

  • Creating demand forecasting strategies using forecasting analytics techniques and various forecasting models.

How this course will help you?

A 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 analytics and 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 for effective demand forecasting and for devising forecasting analytics techniques.

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 on forecasting analytics, demand forecasting, forecasting models through how-to examples. Each section has the following components:

  • Theoretical concepts and use cases of different forecasting models and forecasting analytics techniques

  • Step-by-step instructions on implement forecasting models and forecasting analytics techniques in excel for demand forecasting

  • Downloadable Excel file containing data and solutions used in each lecture on forecasting models and forecasting analytics

  • Class notes and assignments to revise and practice the concepts on demand forecasting, forecasting models and forecasting analytics techniques

The practical classes where we create the model for each of these strategies is something which 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 ones:

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.

Download Practice files, take Quizzes, and complete Assignments

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 manager to take 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 about the basic of forecasting and we will also learn the easiest way to create 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 uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation.

  • Section 4 - Forecasting using Regression Model

This section starts with 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.

We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results.

  • Section 5 - Handling Special events like Holiday sales

In this section we will learn how to incorporate effects of Day of Week Effect, Month Effect or any special event such Holidays, pay day 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. The S curve can be used when we have little data and the famous bass diffusion model can be used to predict product sales even before the product is launched in the market.

Some of the examples in this course are from the book Marketing Analytics: Data-Driven Techniques with Microsoft Excel [Winston, Wayne L.]. We suggest this book as reading material for anyone aspiring to be a marketing analyst.

I am pretty confident that the course will give you the necessary knowledge and skills related to forecasting analytics, forecasting models and demand forecasting strategies; to immediately see practical benefits in your work place.

Go ahead and click the enroll button, and I'll see you in lesson 1 of this course on forecasting analytics and forecasting models!

Cheers

Start-Tech Academy

Screenshots

Marketing Analytics: Forecasting Models with Excel - Screenshot_01Marketing Analytics: Forecasting Models with Excel - Screenshot_02Marketing Analytics: Forecasting Models with Excel - Screenshot_03Marketing Analytics: Forecasting Models with Excel - Screenshot_04

Content

Introduction

Introduction

Basics of Forecasting

Basics of Forecasting
Course resources
Creating Linear Model with Trendlines

Getting Data Ready for Regression Model

Gathering Business Knowledge
Data Exploration
The Data and the Data Dictionary
Univariate analysis and EDD
Discriptive Data Analytics in Excel
Outlier Treatment
Identifying and Treating Outliers in Excel
Missing Value Imputation
Identifying and Treating missing values in Excel
Variable Transformation in Excel
Dummy variable creation: Handling qualitative data
Dummy Variable Creation in Excel
Correlation Analysis
Creating Correlation Matrix in Excel

Forecasting using Regression Model

The Problem Statement
Basic Equations and Ordinary Least Squares (OLS) method
Assessing accuracy of predicted coefficients
Assessing Model Accuracy: RSE and R squared
Creating Simple Linear Regression model
Multiple Linear Regression
The F - statistic
Interpreting results of Categorical variables
Creating Multiple Linear Regression model

Handling Special events like Holiday sales

Forecasting in presence of special events
Excel: Running Linear Regression using Solver
Excel: Including the impact of Special Events

Identifying Seasonality & Trend for Forecasting

Models to identify Trend & Seasonality
Excel: Additive model to identify Trend & Seasonality
Excel: Multiplicative model to identify Trend & Seasonality
Moving Average Method
Excel: Moving Average Method
Quiz

Handling Changing Trend & Seasonality over time

Winter's Method to accomodate changing Trend & Seasonality
Excel: Winter's method

Forecasting models for New Products

S-curve for New products
Excel: Using Logistic curve to model S-curve
Excel: Using Gompertz curve to model S-curve
Bass Diffusion Model for New Products
Excel: Implementing Bass Diffusion Model
Final Course Quiz

Appendix 1: Excel crash course

Mathematical Formulas
Textual Formulas
Logical Formulas
Date-Time Formulas
Lookup Formulas ( V Lookup, Hlookup, Index-Match )
Data Tools
Formatting data and tables
Pivot Tables
Excel Charts: Categories of messages that can be conveyed
Elements of charts
The Easy way of creating charts

Bonus Section

Bonus Lecture

Reviews

Aryan
June 14, 2022
Some of the lectures are a bit vague to understand like Section 6, can we have some easy explanation to this. And we should have excel course inn the beginning so that we are clear about some of the functions used in the course before hand. Assignments submission is a problem because we cannot submit our solved file there. We compulsorily have to write in text format given which is very impractical.
Vidya
June 14, 2022
"Right on dot" explanations with NO EXTRA TALKING, which is the a very important part in the Online Classes. Thank you.
Santanu
June 4, 2022
Very informative. However, for a person who does not back a maths/ stats background this course is going to be tough. Of course, it is not the fault of the course itself. Kudos to the course creators and instructors. Much appreciated.
Taylor
April 7, 2022
My friends have told me this course taught them more than any master's course they took at the university of florida for excel!
Srijita
March 24, 2022
I really love the way sir is teaching, many basic concepts of statistics is also getting clear with these videos, thank you Udemy for this course.
Vansh
March 19, 2022
Audio and video quality of the course is amazing and the concepts are very clear. Instructor is very clear about the topic.
Ahmed
February 12, 2022
revised English subtitles will be great added value as the existing subtitles in some point can be confusing, I hope to be added soon thank you for great content
Abraham
February 7, 2022
hope you can also include another module where special events, trends and seasonality are combined. Thank you in advance
Vincent
January 25, 2022
1. Will be very difficult to apply this at work, the course looks like more to "how to re-create a forecasting software from scratch" instead of what everybody wants: "how to use Excel to create efficiently a FC". 2. A very large part of the course is assuming you have a lot of past data with many variables. 3. With such a strong accent (no offense) pretty difficult to understand, it would be very good to have official subtitles, not generated automatically as these ones are very often wrong.
Rahul
January 19, 2022
yes, I enjoyed the course , but observed a few limitations. 1. The examples used were too simple and too small datasets. 2. A lecture can be dedicated to solver to help us real meaning and get to know which option of the options in the solver wizard we should use in which scenario.
Pramod
September 15, 2021
Yes, it is a perfect match. It complements my learning of forecasting in other tools like R, Minitab etc.
Jinesh
August 30, 2021
I would like to thank Udemy for providing me this amazing course for my development and it is also helping me personally in my career building as a profession.
Ilayda
August 29, 2021
winter's method lecture is very complicated. I think this course need some improvements. I send feedback about homework study. The data is unfortunately wrong. On the other hand I learned a few forecasting methods using solver function. Thank u so much! In the last excel formulas is very nice :)
Siddikur
August 8, 2021
Awesome course. I would like to thanks my instructor for launching effective course in marketing analytics.
Nishchitha
August 2, 2021
The course structure is informative, however, the way course explained is poor and makes it overwhelming to understand.

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2365872
udemy ID
5/13/2019
course created date
10/24/2019
course indexed date
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course submited by