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

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

Thank you!

Monte Carlo Simulations in Python