4.20 (699 reviews)
☑ 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
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 tool.
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
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 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.
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 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
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 to immediately see practical benefits in your work place.
Go ahead and click the enroll button, and I'll see you in lesson 1
Basics of Forecasting
Basics of Forecasting
Creating Linear Model with Trendlines
Getting Data Ready for Regression Model
Gathering Business Knowledge
The Data and the Data Dictionary
Univariate analysis and EDD
Discriptive Data Analytics in Excel
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
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
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
Lookup Formulas ( V Lookup, Hlookup, Index-Match )
Formatting data and tables
Excel Charts: Categories of messages that can be conveyed
Elements of charts
The Easy way of creating charts
Content is very good, it gives a new knowledge and skills and gives a idea to how to work on regression,trends,forecasting with advance excel.The good thing of this course is not only its content but also perfect explaination of every topic under it along with excel practical skills.
It was a great learning and It is going to upgrade my skills that would be helpful in my professional life.
suggests to mention that 2 hour-ish is all about how to use normal Excel functions tutorial which is not about analysis. would be better off if add more practical analytical examples instead.
the orator is not at all good at his speech. He is not able to make understand in depth. No practical explanation everything ready made. Not at all satisfied with the course till now.
They are the best in making you understand any concept. I have been following them in several course. A huge respect for them.
The videos are too slow, and most of the time it feels like the subject has been stretched unnecessarily just to make the video long. Objectively, the course is very good having all the important elements that would be required in a beginner to intermediate level. But, the way in which it is taught is really not upto my liking
Along with pricing Analytics course ,this is a must for learning more in depth and different forecasting models .Thanks
I gave rating 1 because there is no option to give anything less than that to penalize. It is a sheer disappointment -- not because the course material isn't well taught -- it is because I didn't learn anything new from what I already know from Marketing Analytics Book by Wayne Winston. Incidentally, this course takes a significant material from the aforementioned book without giving credit to the book. I not only felt fooled by paying money for what I already possess, but more importantly it would be on conscience forever, if I didn't speak about it for larger audiences and future course enrollments. Incidentally, the same instructors offer another course "Pricing Strategies", and I have a sneaky suspicion that a significant portion of that course material has been lifted from the aforementioned book as well. In another world, it might be termed "plagiarism".
The course is quite interesting because I have a background knowledge in statistics & engineering but the data use for case study is quite cumbersome & unrealistic and make comprehension of the anslysis quite tedious. The seasonality sections have some confusing things like why initializing the trend value to be 30 for a start. Also some videos cannot be downloaded
The course is excellent. I never thought it would be this good. The course content and the pace was excellent as well. I recommend this to everyone who creates charts and does forecast in his/her day-to-day activities.
I found the more advanced contents a bit superficially explained. At some point, the solver is used, which is great, but since I am new to forecasting I would have preferred a steadier approach in which the underline theory and reasoning is explained a bit deeper so to understand what is that I am doing with the solver and in particular how can I be sure that what I am forecasting is reliable? On the regression part, it is quite exhaustive but on the more advanced one, I found not that much so. Thank you anyway for the corse!
So far the content is what I expected (I'm halfway through the 4th section). However, it gets difficult to understand sometimes because of the facilitator's strong accent, plus the subtitles are not always accurate... but it's ok in general
El curso está bueno. Para alguien como yo que no tengo inglés nativo, escuchar a alguien que tampoco lo tiene es muy difícil. El subtitulador también se confunde y escribe cualquier cosa, por lo cual lo dejé de lado. A pesar de esto, sigo avanzando. Mejoraría mucho si incluyeran subtítulos hechos por un traductor.
Enjoying the course so far. Very helpful that the instructor has provided data sets and is also explaining terminology related to the inferences he is making. Definitely will try his other courses. Now I am curious about the pricing course he has put up on Udemy.
The course content is exactly as described however the theory is explained assuming that there is a solid understanding of the subject which could become confusing for people with an only basic understanding of the subject.