Congratulations!

Monte Carlo Simulations in Python

Izzy Weber

Curriculum Manager, DataCamp

What we've covered

  • What Monte Carlo simulations are and why they are useful
  • Sampling from probability distributions as the basis for Monte Carlo simulations
  • The steps of performing Monte Carlo simulations
  • How to further evaluate and interpret simulation results
Monte Carlo Simulations in Python

Tips on further learning

  1. Continue learning about statistics
    • DataCamp skill track: Statistics Fundamentals with Python
  2. Expand on your data visualization skills
    • Introduction to Data Visualization with Seaborn
    • Intermediate Data Visualization with Seaborn
Monte Carlo Simulations in Python

Thank you!

Monte Carlo Simulations in Python

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