HI-PM3 Project Management & Leadership for Data Scientists

Professional growth to senior data scientist and business leader.

Project Management & Leadership for Data Scientists - opening image

With this course you’ll learn:

  • 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.

Prof. Jeroen de Mast

Prof. Jeroen de Mast

Scientific Director at HI, Academic Director at JADS (Jheronimus Academy of Data Science) and Professor at the University of Waterloo (Canada).
His core areas of expertise are in operations management and strategy, industrial statistics, quality and reliability engineering, product development, and project and program management. He has worked extensively as a management consultant and professional trainer in industries such as manufacturing, high-tech, healthcare, services, finance, and logistics.
Ir. Roel Wessels

Ir. Roel Wessels

Scientific Director Project Management & Technology
As an experienced project manager, physicist and musician, Roel Wessels gives focus on reducing complexity and connecting people, methods and ways of thinking. Besides that, the main goal is to make project management fun (again) for the project manager, team members and environment.

Course information

  • Hybrid
  • 4 modules of 1 day

Investment

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

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

About the course Project Management & 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.

 

Course: Project Management & Leadership for Data Scientists.

Outcome

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?

project_management_masterclass

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 now. Come back later when the course is available.

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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.

Certificate

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

Location & Dates

Location
Eindhoven – High Tech Campus 29 
 
Dates 2021 
Location: Eindhoven 
Date to be determined 

 
Group size 

A maximum of 10 participants 

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Take the next step in your personal development.