Applied Data Science

Collaboration of EIT Digital and Bright Cape.


Setup and execute data science projects to boost your business

If you want to apply data-driven approaches at work, then learning about it is the first step to start. This you can do at the EIT Digital Professional School master class Applied Data Science, developed by our partner Bright Cape. You will learn how to set up and execute data science projects that enable you to bring your organisation to a higher level. 

The phrase “data is the new oil” has been repeated many times by now, but it makes sense. This phrase, coined in 2006 by Clive Humby, a British mathematician in 2006, has the meaning in it that data is valuable, but if you leave it unrefined, it cannot be used.

In this all-round and intensive course, you will directly get hands-on with your own data brought from your business. You will thus work with actual real-life data instead of data from predefined or irrelevant cases. Due to Corona, the course will be given online. Individual sessions with the trainer will be planned during the training.

Key take aways

  • Gain hands-on data science experience with your business case.
     
  • Identification of data science use cases and their business value.
     
  • Knowledge of data analyses techniques and when to apply them.
     
  • Learn how to successfully set up and implement data science projects within your business.

Who should attend

  • Employees involved with improvement projects such as business, logistical, or financial analysts, marketing employees, product owners, and managers.
     
  • Can be attended as a team to directly experience the roles within a data science team.

Get your certificate through our training

EIT Digital and Bright Cape joint digital certificate of participation.

Apply now

Blended approach

Format:

Course will be given online due to COVID-19.

Individual sessions with the trainer will be planned during the training.

Date and location

Date:

Part 1: 19 and 20 November from 13:00 - 17:00

Part 2: 26 and 27 November from 13:00 - 17:00 

Fee

Fee:

2695 € (Excl. Tax)

 

For questions or more details, please contact us.

Course content

This course guides you in establishing your data science project.  You will work with the well-known methodology Team Data Science Project (TDSP) a flexible, agile data science-methodology to efficiently implement predictive analytics-solutions and intelligent applications. Furthermore, the course covers the following subjects:

  • Drivers to effectively set up and execute a data science project.
     

  • Data cleaning and visualization techniques.
     

  • Theory and hands-on experience with data science techniques and tools such as process. mining, linear regression, machine learning, and classification.
     

  • Your own use case and real-world examples.

Masterclass

4 days / € 2695 (Excl. Tax)
Part 1: 19 and 20 November from 13:00 - 17:00 (Online)
Part 2: 26 and 27 November from 13:00 - 17:00 (Online)

Apply now

Language

Certificate

EnglishEIT Digital and Bright Cape joint digital certificate of participation.

 

EIT Digital Professional School

Teacher

Daphne van Leeuwen

Daphne van Leeuwen has a PhD in applied mathematics, is an advisor and coach for businesses in data science implementation projects, and has worked as a project leader on innovative European AI projects. She commits herself to the innovation of the data science field.

With her passion for quantitative decision making, she elevates businesses in the field of data science. She accomplishes this by providing training and coaching sessions in both specific data science techniques, as well as theory on the approach, set up, and implementation of data science projects.

About (the suppliers / Partner of the masterclass)

Bright Cape is the consultancy partner with data science and analytics at its core. Bright Cape provides organizations with insights and solutions that result in (competitive) benefits and value creation for both the short and long term. This is realized by our multidisciplinary professionals, who have data as their starting point and customer value as their final goal.

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