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.

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. 

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

 
Group size 

A maximum of 10 participants