Simulation: Using Random Numbers to Model Uncertainty

1. 1Apply simulation techniques to model real-world uncertainty
2. 2Use random number generation to create multiple scenarios
3. 3Run Monte Carlo simulations to estimate probabilities
4. 4Configure and test simulation models using Python or R
5. 5Compare results to inform decision-making

Data scientists and analysts can benefit from this technique to inform business decisions and strategy

💡 Simulation can help quantify uncertainty and inform decision-making

Use simulation & random numbers to model uncertainty and make better decisions!