Disclosure: AI tools were used only to assist in creating the course outline and course thumbnail. All instructional content, explanations, and project walkthroughs were fully created manually by the instructor.
Welcome to Pricing Optimization & Dynamic Pricing with Machine Learning course. This is a comprehensive project based course where you will learn how to optimize price, forecast demand, and implement dynamic pricing strategies. This course is a perfect combination between pricing analytics and machine learning, making it an ideal opportunity to practice your programming skills while improving your technical knowledge in data science. In the introduction session, you will learn the basic fundamentals of pricing optimization and dynamic pricing, such as getting to know AI and machine learning applications in pricing and also understanding how pricing optimization models work.
Then, in the next section, we will learn about foundations of pricing strategies, for examples strategies like cost based pricing, value based pricing, competitor based pricing, we will learn about factors that affect pricing like supply, demand, production cost, labor cost, material cost, in addition, this section also covers essential concepts like willingness to pay, fix vs variable cost, margin vs volume, and price sensitivity.
