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Data-Driven Project Management with Python - (Management for Professionals) by  Mario Vanhoucke (Hardcover) - 1 of 1

Data-Driven Project Management with Python - (Management for Professionals) by Mario Vanhoucke (Hardcover)

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Highlights

  • This book explores how project scheduling, risk analysis and control can be understood, tested and taught through data-driven experimentation.
  • About the Author: Dr. Mario Vanhoucke is a Professor at Ghent University (Belgium), Vlerick Business School (Belgium), and UCL School of Management at University College London (UK).
  • 156 Pages
  • Business + Money Management, Production & Operations Management
  • Series Name: Management for Professionals

Description



Book Synopsis



This book explores how project scheduling, risk analysis and control can be understood, tested and taught through data-driven experimentation. It presents 10 Python-based example experiments that guide readers from fundamental scheduling techniques to advanced project control methods. All project data and code are provided, allowing readers to reproduce, modify, and extend every analysis.

The first part introduces the Critical Path Method as the foundation for structured scheduling and extends it to time-cost optimization and resource-constrained scheduling through heuristics and integer programming. The second part employs Monte Carlo simulation to capture schedule uncertainty and to measure activity sensitivity for both unconstrained and resource-limited projects. The third part focuses on project control, using Earned Value Management (EVM) to replicate forecasting accuracy studies from academic literature.

The book's distinctive contribution lies in linking theoretical scheduling principles with executable Python models, enabling a transparent exploration of how data can drive project decisions. It raises questions about the adequacy and complexity of project data, the measurement of uncertainty and the balance between simplicity and realism, offering both conceptual insight and a practical laboratory for data-driven project management.The book offers an educational yet forward-looking approach, combining clear explanations with ten reproducible Python-based experiments. Readers are encouraged not only to understand, but to experiment, i.e. test and extend the models themselves. By bridging theory and practice, it provides a hands-on and reproducible framework to explore how data shapes scheduling, risk analysis, and project control. The book is particularly suited for use in courses on project management, operations research or decision analytics, as well as for self-learners eager to build technical and analytical data-driven project management skills in a structured way.



From the Back Cover



This book explores how project scheduling, risk analysis and control can be understood, tested and taught through data-driven experimentation. It presents 10 Python-based example experiments that guide readers from fundamental scheduling techniques to advanced project control methods. All project data and code are provided, allowing readers to reproduce, modify, and extend every analysis.

The first part introduces the Critical Path Method as the foundation for structured scheduling and extends it to time-cost optimization and resource-constrained scheduling through heuristics and integer programming. The second part employs Monte Carlo simulation to capture schedule uncertainty and to measure activity sensitivity for both unconstrained and resource-limited projects. The third part focuses on project control, using Earned Value Management (EVM) to replicate forecasting accuracy studies from academic literature.

The book's distinctive contribution lies in linking theoretical scheduling principles with executable Python models, enabling a transparent exploration of how data can drive project decisions. It raises questions about the adequacy and complexity of project data, the measurement of uncertainty and the balance between simplicity and realism, offering both conceptual insight and a practical laboratory for data-driven project management.The book offers an educational yet forward-looking approach, combining clear explanations with ten reproducible Python-based experiments. Readers are encouraged not only to understand, but to experiment, i.e. test and extend the models themselves. By bridging theory and practice, it provides a hands-on and reproducible framework to explore how data shapes scheduling, risk analysis, and project control. The book is particularly suited for use in courses on project management, operations research or decision analytics, as well as for self-learners eager to build technical and analytical data-driven project management skills in a structured way.



About the Author



Dr. Mario Vanhoucke is a Professor at Ghent University (Belgium), Vlerick Business School (Belgium), and UCL School of Management at University College London (UK). He teaches courses on Project Management, Applied Operations Research and Decision-making for Business. His research interests lie in the integration of project scheduling, risk management, and project control, which has led to more than 100 papers in international journals, seven project management books published by Springer, one book published by Apress, and a PM Knowledge Center for online learning. His research has received multiple awards, such as the awards from the Project Management Institute (PMI Belgium), the College of Performance Management (CPM) and the International Project Management Association (IPMA).

Dimensions (Overall): 9.25 Inches (H) x 6.1 Inches (W)
Suggested Age: 22 Years and Up
Number of Pages: 156
Genre: Business + Money Management
Sub-Genre: Production & Operations Management
Series Title: Management for Professionals
Publisher: Springer
Format: Hardcover
Author: Mario Vanhoucke
Language: English
Street Date: August 3, 2026
TCIN: 1011326447
UPC: 9783032245557
Item Number (DPCI): 247-05-1013
Origin: Made in the USA or Imported
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Estimated ship dimensions: 1 inches length x 6.1 inches width x 9.25 inches height
Estimated ship weight: 1 pounds
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Q: What is the main focus of the book's content?

submitted by AI Shopping Assistant - 13 days ago
  • A: The book focuses on project scheduling, risk analysis, and control through data-driven experimentation.

    submitted byAI Shopping Assistant - 13 days ago
    Ai generated

Q: Who is the author of this book?

submitted by AI Shopping Assistant - 13 days ago
  • A: The author is Dr. Mario Vanhoucke, a professor at multiple prestigious institutions.

    submitted byAI Shopping Assistant - 13 days ago
    Ai generated

Q: What educational approach does the book emphasize?

submitted by AI Shopping Assistant - 13 days ago
  • A: It emphasizes a hands-on approach, encouraging readers to experiment and extend the provided models.

    submitted byAI Shopping Assistant - 13 days ago
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Q: What is the target audience for this book?

submitted by AI Shopping Assistant - 13 days ago
  • A: The book is aimed at students, professionals, and self-learners interested in project management and data analysis.

    submitted byAI Shopping Assistant - 13 days ago
    Ai generated

Q: What programming language is used in the book's experiments?

submitted by AI Shopping Assistant - 13 days ago
  • A: The book utilizes Python for its ten example experiments related to project management.

    submitted byAI Shopping Assistant - 13 days ago
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