Revenue Analytics: Price Optimization
Master revenue analytics and optimisation for strategic business decisions while enrolled in the Revenue Analytics: Price Optimization online course.
Online
6 Weeks
2,650 USD Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
Wharton's Revenue Analytics: Price Optimization online course is comprehensively designed to equip business professionals with the essential knowledge and skills to excel in revenue management and optimization. In the Revenue Analytics: Price Optimization certification by Emeritus, participants will dive into the world of data-driven decision-making, understanding how big data analytics is transforming revenue opportunities and leading to strategic business growth.
The Revenue Analytics: Price Optimization certification course offers practical experience in using various revenue management analytics techniques, enabling participants to tackle optimization challenges across diverse industries. By delving into statistical, optimization, and economic decision-making tools, participants learn to make informed business choices for maximising revenue and beating revenue goals.
The Highlights
- Approx. 6 Weeks To Complete
- Certification By the University of Pennsylvania
- Excel Exercises
- Industry Examples
Programme Offerings
- Certification
- Discussion Forum Live Lecture
- Expert Faculty
- Discussion
- Excel Exercise
- Industry Example
- Knowledge Check
- Live Office Hour
- Reflection
- Try-It Activity
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | The Wharton School, Philadelphia |
Revenue Analytics: Price Optimization fee structure :
| Programme fees | Amount |
| Course fees | Rs. 2,358 |
Eligibility Criteria
Certification Qualifying Details
Upon successful completion of the Revenue Analytics: Price Optimization training, the Wharton School grants all participants a verified digital certificate of completion.
What you will learn
During Revenue Analytics: Price Optimization classes, participants will be able to:
- Learn the history and evolution of revenue management practices and understand their applications in different business contexts.
- Be able to estimate demand and willingness to pay, and use the results to implement optimised pricing strategies for maximising revenue.
- Gain proficiency in overcoming typical estimation challenges, such as dealing with censored data, using statistical methods like maximum likelihood estimation.
Who it is for
The Revenue Analytics: Price Optimization certification syllabus is ideal for a wide range of professionals seeking to enhance their career prospects in revenue management and optimization. This course is particularly beneficial for individuals in the following career options or professions:
Admission Details
Follow the steps below to join the online course.
Step 1- Click on the link below: https://online-execed.wharton.upenn.edu/revenue-analytics
Step 2- Click on the “Apply Now” button.
Step 3- Fill in the basic details and then submit the form.
Step 4- A representative will contact you to begin the process of enrolment.
The Syllabus
- Learn the history of revenue management practices
- Become familiar with the definition of revenue management and its applications
- Identify core concepts of revenue management analytics within an organization
- Explore how price experimentation can help optimize expected revenue
- Identify models for determining demand
- Determine optimal price using distribution modeling
- Learn how to make business decisions based on estimation data
- Get hands-on experience in exercises focused on revenue management for hotel bookings
- Learn how to solve the problems censored data can cause in revenue management practices
- Gain skills in statistical techniques such as maximum likelihood estimation to estimate revenue with censored data
- Explore best practices for overcoming estimation challenges
- Explore the benefits of segmented and dynamic pricing
- Gain expertise in segmented and dynamic pricing techniques to determine maximum revenue outcomes
- Learn how to use the different techniques of dynamic pricing within an organization
- Get hands-on experience in revenue management exercises featuring hotels and major airlines, along with professional baseball leagues and rideshare companies
- Review the development of quantity-based revenue management as a predecessor of dynamic pricing
- Use expected marginal seat revenue to estimate revenue for a network of resources
- Gain insight into the applications of quantity-based revenue management in a variety of industries
- Get hands-on experience in revenue management exercises featuring multiple types of airline bookings
- Learn techniques to calculate revenue using overbooking techniques
- Explore the use of auctions in a variety of settings
- Gain understanding of the applications and benefits of two-sided platforms
- Gain insight into the benefits of using various learning and earning techniques
- Get hands-on experience in exercises featuring airline overbooking, auctions (digital advertising and certain commodities), and two-sided platforms such as Airbnb
Instructors
The Wharton School, Philadelphia Frequently Asked Questions (FAQ's)
Yes, the course is designed to provide a comprehensive introduction to revenue management concepts and techniques, making it suitable for beginners and experienced professionals alike.
There are no specific prerequisites for the course. However, a basic understanding of business concepts and familiarity with data analysis can be helpful.
The course is entirely online, offering a flexible and self-paced learning experience. There are no in-person sessions.
The course is designed to require 4-6 hours of commitment per week. Participants can adjust their study schedule based on personal preferences.
Upon successful completion of the programme, participants will receive a digital certificate from the Wharton School, validating their expertise in Revenue Analytics: Price Optimization.