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Simulation for Digital Transformation
Coursera MOOC / Non-credit 0

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.

A

90/100

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What the provider tells you
39/45
Who stands behind it
35/35
How complete the listing is
16/20

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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
Machine Learning #python #resource allocation #data-driven decision making #predictive analytics #prescriptive analytics #workflow improvement #complex systems #discrete event simulation #simpy #system optimization #model validation #random variable generation
$49.00

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