Udemy – Revenue and Pricing Analytics with Excel & Python. 2023-9

Udemy – Revenue and Pricing Analytics with Excel & Python. 2023-9 Downloadly IRSpace

Aug 17, 2025 - 02:15 Updated: Aug 19, 2025 - 14:11

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Udemy – Revenue and Pricing Analytics with Excel & Python. 2023-9

Revenue and Pricing Analytics with Excel & Python., American Airlines introduced segmentation and revenue management techniques on its ticket prices “yield management” to attract People Express Customers back and People Express eventually went out of business. oh, I forgot to mention that American airlines’ profit increased by 47% that year. And the rest was history. This practice was then adopted by Ford for car rentals, Mariott hotels for room booking, NBC, and ABC for Ads placement to pretty much every business there is nowadays. this course will take you on this exciting journey of understanding consumer behavior. how to set prices for your products to maximize revenue and enhance product availability. if you are running your own business, managing a product line, or even launching a new product or service, this course will come in handy to set you on the right path for success. Not only this, Businesses now have hundreds of products and services if not thousands and we simply cannot optimize pricing for all of them with excel for example, that’s why the course introduces you also pricing and revenue management with Python. not to worry if it’s the first time for you with python, I show you how to do it step by step. the course is designed as experiential learning Modules, the first couple of modules are for understanding pricing followed by applications using optimization.Don’t worry if you don’t know python, there are is a python fundamental section in the course to get you up and running with python

What you’ll learn

What are the discount rates you should set to maximize revenue of your products?
Optimizing prices with excel and python
Customized pricing with python
Customer analytics
The different pricing strategies that you should implement for different products.
The willingness to pay of customers
how to fit the demand with the right response function
How to differentiate products and pricing to different segments
The concept of nesting in revenue management and how to apply it
Retail
Profit
Data Science
Python