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Marketing Analytics & Retail Business Management using Excel

Learners: 103,279

Instructor: Start-Tech Academy

Duration:

This Marketing Analytics & Retail Business Management course is the perfect choice for business managers, executives, and students who want to learn and apply forecasting models, marketing analytics techniques, and marketing research in real-world business problems. With step-by-step instructions on implementing forecasting models and marketing analytics in Excel, this course will teach you the most popular forecasting models and marketing analytics strategies and how to implement them. After completing this course, you will be able to confidently practice, discuss, and understand different marketing analytics models used by organizations. A Verifiable Certificate of Completion is presented to all students who undertake this course.▼▲

Course Feature Course Overview Pros & Cons Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2023-05-07

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 18th, 2023]

This course provides an in-depth overview of Marketing Analytics & Retail Business Management using Excel. It covers topics such as forecasting models, Market Basket analysis, conducting market research, marketing analytics, RFM (recency, frequency, monetary) analysis, Customer Valuation methods & Price Bundling analysis. After completing this course, students 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. They will also be able to 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 maximize profit from promotional mail campaigns, increase revenue/profit of a firm by implementing revenue / profit maximizing bundle price point using marketing analytics tool like Excel solver Add-in, and understand the value of customers to make intelligent decisions based on recommendations of marketing analytics and marketing research.

The course is taught by Abhishek and Pukhraj, managers in a Global Analytics Consulting firm, who have experience in helping businesses solve their business problems using analytics. Each section of the course contains 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 files 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, and practical classes where models are created for each of these strategies.

A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics & Retail Business Management course.

Pros & Cons

Pros Cons

Comprehensive coverage of topics: Users appreciate that the course covers all the necessary topics related to marketing analytics and retail business management. This ensures that they gain a well-rounded understanding of the subject matter. Practical and data-driven learning: Users find the course to be practical and focused on real-world applications. They appreciate the emphasis on data-driven learning, which helps them develop the skills needed to analyze and interpret data effectively.

Distracting accent: One user mentions that the instructor's accent is distracting and affects their attention. While this may be subjective, it highlights the importance of clear communication in an online course. Lack of in-depth explanation: Although most users find the explanations to be good, some may feel that certain concepts could have been explained in more detail. This suggests that the course may benefit from providing more in-depth explanations for a better understanding of complex topics.