Find out how data innovation works
Are you interested in applying data science and AI to solve a specific business challenge?  But you’re not sure where to start? Enroll in our Mastercourse ‘Data innovation beyond the hype’. As a participant, you will learn more about the different steps of the data analysis process, and gain tailor-made insights on how data science can help you reach your goals. Discover our upcoming webinars and book your seat now.

Future-proof your business. Start today.

The Mastercourse ‘Data Innovation beyond the hype’ provides pragmatic and industry-oriented modules on data-driven innovation and AI. Through in-depth webinars, training and workshops, the course addresses the need for companies to innovate their products, services or technology based on the use of data.

Why enroll for this Mastercourse?

The goal of the Mastercourse is to help your business to do more with data. The course cycle consists of four training modules, each focusing on different steps in the data innovation process. In addition, we have developed a set of a topic-specific modules and webinars focusing on industrial applications of data science and AI.
 

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  • Module 1: The importance of data exploration and hypothesis building
  • Module 2: The power of data visualisation
  • Module 3: The art of feature engineering
  • Module 4: Choosing the right algorithm for the right task

For whom is this Mastercourse?

The Mastercourse cycle ‘Data innovation beyond the hype’ is open to any entrepreneur interested in developing data and AI solutions, and curious about the opportunities it can offer to industrial companies – including for SMEs.

Product companies
Learn best practices for enhancing your product design, performance, 
and functionality, or to develop additional services using data and AI.
Production companies
Innovate your business by increasing efficiency, improving quality and optimising planning of industrial production processes.
Service companies

Automate and scale up your services through expert advice in data innovation, from feasibility study to proof-of-concept realisation.

Upcoming

Module 1: The importance of data exploration and hypothesis building

A clear picture of the business opportunities and a library of intelligent algorithms are not enough to develop a data-driven solution. A thorough understanding of the quality of the available data and the interesting information it contains is equally important in order to derive viable working hypotheses about the underlying mechanisms of the problem under investigation. In this module, various approaches to such data exploration are discussed, with a particular focus on numerical and visual techniques.

When? 5 & 8 October 2021, 9:30 - 12:00 (online)

                                                                                                                                                                                            

Module 2: The power of data visualisation

Data visualisation can be applied in different phases of a data-driven project. It supports data exploration to extract first insights from the data and enables the presentation of these insights to users. However, choosing the most efficient method for data visualisation is not self-evident. This module aims to provide an overview of existing data visualisation methods and how they can be used most effectively to highlight important data properties, highlight trends, reveal hidden patterns, etc.

When? 15 November 2021, 13:00 - 15:30, & 18 November 2021, 9:30 - 12:00 (online)

                                                                                                                                                                                            

Module 3: The art of feature engineering

In order for intelligent algorithms to learn something from data, the data must be presented in the best possible way. The process of transforming data and preserving only the most relevant, distinctive features is called feature engineering. It is perhaps the most important step in the data science workflow. This module aims to provide an overview of the most commonly used methods, the most common pitfalls for different types of data (sensor data, location data...) and problem sets (prediction, profiling...).

When? 14 & 16 December 2021, 9:30 - 12:00 (online)

                                                                                                                                                                                            

Module 4: Choosing the right algorithm for the right task

This module aims to introduce participants to the most important data science tasks (classification, clustering, regression, etc.) and provide an overview of the most commonly used algorithms and techniques to solve each of these tasks.

When? 24 & 28 January 2022, 9:30 - 12:00 (online)

Looking for an introduction?
Take part in our interactive webinar!

Webinar: Understanding what artificial intelligence (AI) is about

The application of AI is boosting, but its capabilities are not yet exploited to the fullest. In this introductory webinar, we will explore the potential of AI and walk through the different steps of an AI project, focusing on what needs to be taken into account in order to ensure that the project is successful. Also ethical, privacy and security considerations that should be considered will be taken into account.

When? 14 September 2021, 13:00 - 15:30 (online)

 

Want to dig deeper?
Join our focus modules!

Focus module: The industrial relevance of advanced AI/ML methods

The goal of this module is to give participants a better insight into the type of problems that can be tackled using machine-learning techniques, illustrated by several real-world examples from a diverse set of domains.

When? 22 & 25 February 2022, 9:30 - 12:00 (online)

                                                                                                                                                                                            


Focus module: How to leverage data to reliably benchmark asset performance?

The ability to compare an asset against its peers makes it possible to better distinguish the physical performance and characteristics. Companies able to fully leverage the capabilities of data analytics can achieve better actionable insights and significant operational efficiency improvements. In this module, we will zoom in on how to leverage data to reliably benchmark asset performance

When? 8 March 2022, 13:00 - 15:00 (online)

On-premise training

On demand, we can also give the different sessions at your company’s premises, tailored to your specific data challenges. Or we can provide an intensive training program with one of your colleagues working on your specific data challenges. Interested in one of these alternative training formats?
Pricing and discounts
Sessions Price
Mastercourse modules * 575 €
Introductory webinar ** 275 €
Focus modules ** 275 €
Focus module 'The industrial relevance of advanced AI/ML methods' * 575 €

  • All sessions are given in English.
  • A hardcopy of the course notes is included in the registration price. In case the session is organized as a webinar, access to a digital version of the slides is provided after the session.
*  With the support of Vlaio (Industriepartnerschap), companies located in Flanders pay only 575 euro when booking and attending at least 2 modules (1 module = 2 sessions) of the Mastercourse modules and the Focus module 'The industrial relevance of advanced AI/ML methods'. If you attend only 1 module, you can apply for KMO-portefeuille support. Both support measures cannot be accumulated.
** Attendants to the introductory webinar and Focus modules can only apply for the KMO-portefeuille, with exception of the Focus module 'The industrial relevance of advanced AI/ML methods'. 

KMO-portefeuille 

In case you are a Flemish SME, it is possible to make use of the KMO-portefeuille. The KMO-portefeuille should be requested at latest 14 days after the course has taken place. (Sirris approval number: DV.O105154). Please note that if you do not apply in time your request will be declined. For more details on the KMO-portefeuille, please visit kmo-portefeuille.be or contact us through email (projectaccounting@sirris.be). 

General terms and conditions 

Payment of the participation fee for this event or training is subject to Sirris' general terms and conditions. Invoices are to be paid no later than 30 days after the invoice date, VAT included. 

Cancellations are to be made by e-mail (inschrijven@sirris.be). Cancellations up to 3 working days before the event are free of charge. After this deadline, or in case of a “no show”, the full amount of the registration will be due. Replacement by a colleague is possible if notified in advance. We will be happy to transfer your seat.

For more information, check our general conditions on https://www.sirris.be/sirris-general-conditions.

 

Need more details?

Would you like to talk with one of our experts? Or would you like to have some further information on our activities? Then get in touch with us! Our Customer Relationship and Project Management Officer, Caroline Mair, will be happy to help.