Revenue and Pricing Analytics with Excel & Python.
Maximize Product availability and Boost Business profitability with the art of pricing!
4.69 (265 reviews)
17 757
students
13 hours
content
Sep 2023
last update
$59.99
regular price
What you will 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
Course Gallery
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Comidoc Review
Our Verdict
Revenue and Pricing Analytics with Excel & Python is a comprehensive course teaching complex analytics strategies with real-world examples. While the prerequisites could be more clearly outlined, the integration of Excel and Python, together with its well-structured lectures, offers valuable insights for learners seeking to strengthen their data analysis skills in revenue management. Despite minor issues related to delivery style and clarity, this 4.69-star course is a worthwhile endeavor for intermediate users.
What We Liked
- The course provides an in-depth exploration of revenue and pricing analytics, covering essential topics like discount rates, customer analytics, and retail profitability.
- The combination of Excel and Python as teaching tools is a valuable asset for learners seeking to expand their data analysis skills.
- Lectures are well-organized and logically structured, making it easy to follow the course's complex subject matter.
- Practical examples from various industries demonstrate real-world applications of revenue and pricing strategies.
Potential Drawbacks
- Some users feel that prerequisites for this course should be more clearly outlined, as intermediate knowledge in mathematics, statistics, Excel, and Python is recommended.
- The delivery style and video quality can be inconsistent at times, affecting user experience.
- A minority of learners mentioned the need for additional exercises and projects to solidify their understanding of course concepts.
- Lack of clear explanations behind some equations leaves some users seeking further clarification.
Related Topics
3657464
udemy ID
24/11/2020
course created date
14/12/2020
course indexed date
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