Application is now open : Machine Learning Bootcamp: Dynamic Pricing


Beyond machine and Datalyst Academy are presenting you with a unique Bootcamp

Instructed by Dr. Stylianos Kampakis

Do you want to learn more about dynamic pricing? Or are you a company that is looking to implement dynamic pricing, but you are not sure where to start?

This course will teach you how!

The course is designed in a unique format, that allows online, offline and classroom interaction, and allows the participants to learn at their own pace, but also to have offline sessions to meet your classmates and learn together.


What am I going to get from this course?

- Understand the fundamentals of machine learning

- Understand some basic principles in optimisation

- Understand the Predict and Optimise (PAO) framework

- Learn how to use the PAO framework to create a dynamic pricing algorithm

- Implement a dynamic pricing example

How is the course structured?

The course is done in partnership with Datalyst Academy: a data science bootcamp platform that combines the best approaches from online learning, offline learning, university courses, bootcamps, and workshops.

The course is structured as follows:

Kick-off webinar. There will be a 30-minute introductory webinar, during which the participants will be introduced to basic machine learning concepts and the course. The participants can either take the webinar from the comfort of their own home/office or come to meet other participants in our space.

Online platform. The participants will get access to the online content which includes both videos and curated content. They can study the content at their own pace.

Dynamic pricing webinar (2 hours). The participants will learn about the Predict and Optimise framework and how to use it to create a dynamic pricing model.

After the webinar, the participants will start working on the lab.

During this process, the participants will be mentored by the instructor, through our slack channel, and skype (if need be).

There will be another 2-hours final webinar, which will be done in a classroom. The participants will discuss any questions they might have.

The participants who purchased VIP tickets can choose to work on their own dynamic pricing system. (e.g: from your own personal project or company product )They also get 2-weeks of extra mentorship.

The course covers both Python and R.

Who should attend?
- Data scientists: who want to learn new applications

- Data Analyst: Companies who would like to offer re-education to their analytics team to their data science team or just upgrade yourself from analyst to data scientist.

-Developers: who want to know more about the algorithm or even think about switching to be the data scientist.

- Business Intelligence (BI): You are already familiar with statistics, want to understand better machine learning and prediction.


P.S. The seats are limited to 12 people. If you are interested in building a recommender system, check this Bootcamp.

If you want to know more about dynamic pricing and how can it be applied in the business. Please take a look here:

¹ Dr. Stylianos Kampakis is an expert data scientist (with a decade of experience), member of the Royal Statistical Society, an honorary research fellow at the UCL Centre for Blockchain Technologies and startup consultant living and working in London. A natural polymath, with degrees in Psychology, Artificial Intelligence, Statistics, Economics and a PhD in Computer Science from University College London he loves using his broad skillset to solve difficult problems. You can learn more about his work at