Marketing Analytics & Retail Business Management using Excel (Udemy.com)
Retail analytics using MS Excel - Covering Forecasting, Market Basket, RFM, Customer Valuation & Price Bundling
Created by: Start-Tech Academy
Last updated September 2026
What you will learn
- Become proficient in using powerful tools such as excel solver to create forecasting models
- Learn how to estimate the trend and seasonal aspects of sales
- Perform market basket analysis and calculate lift to derive a store layout that maximizes sales from complementary products
- Understand how to interpret the result of Linear Regression model and translate them into actionable insight
- Learn practical concepts of how to get revenue/profit optimized price point in case of Bundle products.
- Learn why cable companies bundle landlines, cell phone service, TV service, and Internet service (Bundling)
- Perform RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns.
- Learn to calculate customer’s lifetime value under different scenarios and use it to increase the company’s profitability.
How it compares
Against the other 1,210 rated Udemy courses in Business on CourseDuck:
- Rating4.6 out of 5higher than 74% of them
- Reviews1,907#308 of 1,211 by number of reviews
- Length7.9 hourslonger than 83% of them
- Last updatedSeptember 2026more recently than 93% of them
Course Description
You're looking for a complete course on understanding Marketing Analytics and Retail Business Management to drive business decisions involving production schedules, inventory management, promotional mail optimization, store layouting, estimating right bundle price, customer valuation and many other parts of the business., right?
You've found the right Marketing Analytics & Retail Business Management course! This course teaches you everything you need to know about different forecasting models, Market Basket analysis, conducting market research, marketing analytics, RFM (recency, frequency, monetary) analysis, Customer Valuation methods & Price Bundling analysis 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, Additive and multiplicative trend and seasonality model and many more, required for devising marketing analytics strategies effectively.
Perform marketing analytics and market basket analysis and calculate lift to derive a store layout that maximizes sales from complementary products.
Do RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns.
Increase revenue/profit of your firm by implementing revenue / profit maximizing bundle price point using marketing analytics tool like Excel solver Add-in
Understand the value of your customers to make intelligent decisions based on recommendations of marketing analytics and marketing research on how to spend money acquiring them
Confidently practice, discuss and understand different marketing analytics 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 & Retail Business Management course.
If you are a business manager or an executive, or a student who wants to learn and apply forecasting models, marketing analytics techniques based on marketing research in real world problems of business, this course will give you a solid base for that by teaching you the most popular forecasting models and marketing analytics strategies and how to implement them.
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 of marketing analytics, marketing research through how-to examples. Each section has the following components:
Theoretical concepts and cases of different forecasting models and marketing analytics techniques
Step-by-step instructions on implementing forecasting models and marketing analytics in excel
Downloadable Excel file containing data and solutions used in each lecture on marketing analytics and retail business management
Class notes and assignments to revise and practice the concepts on marketing analytics and retail business management
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 analytics, marketing research, forecasting techniques 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, marketing analytics, marketing research, 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 on Marketing analytics, marketing research, forecasting techniques. Each section contains a practice assignment for you to practically implement your learning on Marketing analytics, marketing research, forecasting techniques.
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 marketing analytics tools and 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 containing Marketing analytics, marketing research, forecasting techniques.
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 step by step to get the data and then prepare it for the marketing analytics purpose. 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. These are the building blocks of implementing marketing analytics techniques effectively.
Section 4 - Forecasting using Regression Model
Instructor Details
- 4.6 Rating
1,907 Reviews
Start-Tech Academy
Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.
Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey.
Founded by Abhishek Bansal and Pukhraj Parikh.
Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.
Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.
More courses by Start-Tech Academy
Zero to Hero in Microsoft Excel: Complete Excel with Copilot (2026)
4.5 (46,660 Reviews)
Provider: Udemy
Time: 10.6h
$109.99
Zero to Hero in SQL: SQL for Data Analytics (2026)
4.6 (14,123 Reviews)
Provider: Udemy
Time: 10.4h
$129.99
Prompt Engineering Frameworks & Methodologies (2026)
4.5 (12,643 Reviews)
Provider: Udemy
Time: 3.2h
$19.99
HR Analytics using MS Excel for Human Resource Management (2026)
4.4 (11,556 Reviews)
Provider: Udemy
Time: 9.7h
$84.99
Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python (2026)
4.5 (8,059 Reviews)
Provider: Udemy
Time: 24.4h
$109.99
More Business courses
Hiring and Interview Skills to Recruit Top Talent as Manager (2026)
5.0 (267 Reviews)
Provider: Udemy
Time: 5.9h
$10.99
Directing the Actor: A USC course with Nina Foch (2016)
4.9 (1,379 Reviews)
Provider: Udemy
Time: 4h
$13.99
Lean Management: Just-In-Time JIT Certification (Accredited) (2026)
4.9 (1,219 Reviews)
Provider: Udemy
Time: 2.2h
$13.99
LinkedIn Marketing And Personal Branding Masterclass (2026)
4.9 (137 Reviews)
Provider: Udemy
Time: 1.4h
$19.99
Personal Branding Mastery: Elevate Your Career and Business (2026)
4.9 (134 Reviews)
Provider: Udemy
Time: 3.9h
$19.99
Reviews
By Bhagwan Patil on 2/6/2026
This course moves beyond basic concepts to teach advanced, hands-on models. You learn to apply powerful tools like Excel Solver for forecasting, RFM, and price bundling to solve real retail problems
By Raghav Jha on 6/13/2025
All the videos are clearly explained and lots of concepts are covered that makes a real sense of using all the formulae for calculations in real world data. Highly recommended for everyone looking for a Project work in Data Analysis!
By Magapu Gopika on 4/15/2025
A very detailed explanation of the topics was given. The breakdown of the each major topic was very precise and crisp. The shorter duration of videos made it easier to concentrate well. One minor drawback I found out as a student was usage of less number of databases for examples. Varied types of databases for examples could have made it more useful for all streams of students.
By Nithya J on 11/1/2024
I liked the course for the content and presentation. It helped me a lot in understanding the various concept which were presented in a detailed manner. Practice worksheets help a lot to practice and apply the concepts.
By ABHEEK MUKHOPADHYAY on 7/31/2023
So far it is good. Will give an updated rating at the end of the course. The examples could be make more clear using the same dataset (like, how does indirect work on names without creating name manager)
By Samadrita Pal on 7/6/2021
It was an amazing course, everything is covered in detail and even the difficult concepts are taught in a very easy and smooth manner. Everyone seeking a career in marketing analytics should do this course as it gives a overall view of the field!
By Shabir on 1/24/2021
Course was decent , but the use of excel is very out-dated , maybe the course has been published a long time ago , other than that it's a good way to learn marketing analytics with simple excel and then implement it to python or any other language , a good job on explanation and understandability . Thanks!
By Smriti Tamrakar on 12/23/2020
I really liked this taking this course because it covers real life problems. Every marketing terminology is explained very well. However, some video sound quality is poor which was disturbing.
By Simral Garayev on 12/20/2020
It was excellent
By Gihan Silva on 12/13/2020
I am new to this field and wanted to understand the concepts behind analytics and retail business management and this is the perfect course for me to start with. It's easier to follow through and also to understand the concepts, theory and practice practicality through the content provided. Thank you very much for this amazing course!
By Ramakrishna S on 12/13/2020
So far So good, I have just completed sections One and Two and the content is just wow and to the point. easily understood and simple to follow the statistical calculation on forecasting.
This is Course is Highly recommended to those who wanna learn Analytics.
By Shaj Paul on 11/17/2020
Very Good
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 92 / 100












