Simulation for Digital Transformation
About this course
Discover how to tackle complex challenges with Simulation for Digital Transformation. Learn to use Python and SimPy to model, analyze, and optimize systems, empowering you to make data-driven decisions and lead impactful digital transformation initiatives with Dartmouth Thayer School of Engineering faculty Vikrant Vaze and Reed Harder. What you'll learn: 1. Master Discrete Event Simulation: Develop and implement event-driven simulation models in Python using tools like SimPy to analyze and optimize real-world systems. 2. Generate Random Variables: Apply techniques like the inversion and rejection methods to simulate uncertainty and model complex scenarios effectively. 3. Design Trustworthy Simulations: Learn how to validate, verify, and refine simulation models to ensure accurate and actionable decision-making results. 4. Optimize Complex Systems: Use simulation to efficiently improve workflows, allocate resources, and evaluate multi-objective solutions in diverse industries. 5. Bridge Predictive and Prescriptive Analytics: Leverage simulation as a tool to predict outcomes and recommend optimal strategies in dynamic environments.
90/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Develop and implement discrete event simulation models using Python and SimPy
- Apply techniques for generating random variables to simulate uncertainty
- Validate and refine simulation models for accurate decision-making
- Optimize workflows, resource allocation, and multi-objective solutions using simulation
Course objectives
- Teach participants how to effectively use simulation for real-world applications
- Bridge the gap between predictive and prescriptive analytics
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
More courses like this
Coursera
Foundations of Probability and Random Variables
Johns Hopkins University · MOOC / Non-credit
Compared on these lists
Where this course ranks against the alternatives.