Course information


The investment is €2.990 (excl. VAT) per participant.

Included are four training days, course material, tools, refreshments and daily lunches.

Projectmanagement & Leadership for Data Scientists.

Data scientists are T-shaped professionals. They have deep expertise in analytics and data engineering, but they also master boundary-crossing skills such as leadership, problem-solving and project management.




This course teaches the skills needed to get things done and be a successful, entrepreneurial data-science leader. How to win support in the organization, navigate through organizational politics and prevent that your project is swamped by countless distractions? How to structure complex and messy business problems into meaningful questions that you can answer by predictive or explanatory analytics? How to help the organization to move forward in its development towards a data-driven organization?

The course offers conceptual models and techniques that capture the essence of complex skills, and we discuss realistic cases in order to translate theory to practical insights.

Registration is closed for now. Contact us for more information.

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  • To grow professionally, from a programmer, an IT engineer or an analyst, to a senior professional, a senior data scientist, or a leader
  • To turn data-science initiatives and groups into effective teams that deliver results and get things in motion
  • To lead your organization in the transition process towards a data-driven way of working 

Teaching professionals.

What you’ll learn.

Block 1 - day 1/2

What you'll learn on day 1 and day 2 of the course

Day 1

  • Turning data-analytic thinking into effective projects:  
    The CRISP-DM model to structure data-science projects. Getting flow in data-science projects: agile project management, heartbeat progress reviews, the project portfolio and backlog. Translating business problems into data-analytic problems, and into the data-analytic workflow. 

Day 2

  • Translating goals into plans into action: 
    Effective structures for professionals in action: stakeholder management, the work breakdown structure, the value-proposition canvas and the data-mining canvas. Planning under uncertainty and the importance of cadence.

Block 2 - day 3/4

What you'll learn on day 3 and day 4 of the course

Day 3

  • Personal leadership in data science: 
    Becoming an entrepreneurial data scientist, learning to recognize and understand business value. Growing as a leader, from reactive to proactive to being an influencer in a political forcefield. Coaching a team, but above all: coaching your environment and the organization’s management. Committed leadership, motivation, and achieving results by letting go.  

Day 4

  • Managing data science in the organization: 
    The supportive infrastructure for data-science projects. Creating a business strategy, designing a data-science innovation roadmap on multiple horizons, translating the roadmap into a project backlog. The roles of the data engineer, data analyst, data scientist, domain expert and sponsor. Leading the transformation to a data-driven organization: organization development as a learning process, identifying and dealing with organizational barriers, the punctuated equilibrium model. 

Practical information.

For whom

Data scientists with project responsibilities, obligations for results, or who do data-science projects for commercial customers; Senior data scientists who have a leading role in developing a data science initiative in the organization; Executives who are shaping a data-science or digitization initiative; Project managers, group leaders and department leaders who are managing data-science projects within their groups.


After completing the full training, you receive proof of participation.

Location & Dates

Eindhoven – High Tech Campus 29 
Dates 2023
Location: Eindhoven 
Date to be determined 

Group size 

A maximum of 10 participants