Statistical Simulation in Python Tushar Shanker Data Scientist - - PowerPoint PPT Presentation

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Statistical Simulation in Python Tushar Shanker Data Scientist - - PowerPoint PPT Presentation

Dec 27, 2022 40 likes •292 views

DataCamp Statistical Simulation in Python STATISTICAL SIMULATION IN PYTHON Statistical Simulation in Python Tushar Shanker Data Scientist DataCamp Statistical Simulation in Python Topics covered Basics of randomness & simulation.

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DataCamp Statistical Simulation in Python

Statistical Simulation in Python

STATISTICAL SIMULATION IN PYTHON

Tushar Shanker

Data Scientist

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DataCamp Statistical Simulation in Python

Topics covered

Basics of randomness & simulation. Simulation & probability. Bootstrapping and resampling methods. Advanced applications of simulation.

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DataCamp Statistical Simulation in Python

Introduction to random variables

Continuous Random Variables Infinitely many possible values. e.g., Height / Weight

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DataCamp Statistical Simulation in Python

Introduction to random variables

Continuous Random Variables Infinitely many possible values. e.g., Height / Weight Discrete Random Variables Finite set of possible values. e.g., Outcomes of a six-sided die

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DataCamp Statistical Simulation in Python

Probability distributions

Continuous Probability Distributions

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DataCamp Statistical Simulation in Python

Probability distributions

Continuous Probability Distributions Discrete Probability Distributions

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DataCamp Statistical Simulation in Python

Let's practice!

STATISTICAL SIMULATION IN PYTHON

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DataCamp Statistical Simulation in Python

Simulation basics

STATISTICAL SIMULATION IN PYTHON

Tushar Shanker

Data Scientist

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DataCamp Statistical Simulation in Python

Simulations

Framework for modeling real-world events. Characterized by repeated random sampling.

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DataCamp Statistical Simulation in Python

Simulations

Framework for modeling real-world events. Characterized by repeated random sampling. Gives us an approximate solution.

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DataCamp Statistical Simulation in Python

Simulations

Framework for modeling real-world events. Characterized by repeated random sampling. Gives us an approximate solution. Can help solve complex problems.

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DataCamp Statistical Simulation in Python

Simulation steps

  • 1. Define possible outcomes for random variables.
  • 2. Assign probabilities.
  • 3. Define relationships between random variables.
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DataCamp Statistical Simulation in Python

Simulation steps

  • 1. Define possible outcomes for random variables.
  • 2. Assign probabilities.
  • 3. Define relationships between random variables.
  • 4. Get multiple outcomes by repeated random sampling.
  • 5. Analyze sample outcomes.
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DataCamp Statistical Simulation in Python

Simulating the dice game

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DataCamp Statistical Simulation in Python

Simulating the dice game

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DataCamp Statistical Simulation in Python

Simulating the dice game

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DataCamp Statistical Simulation in Python

Let's practice!

STATISTICAL SIMULATION IN PYTHON

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DataCamp Statistical Simulation in Python

Using simulation for decision-making

STATISTICAL SIMULATION IN PYTHON

Tushar Shanker

Data Scientist

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DataCamp Statistical Simulation in Python

Simulation workflow

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DataCamp Statistical Simulation in Python

Change input, evaluate output

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DataCamp Statistical Simulation in Python

Outcomes: New B vs. Old B

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DataCamp Statistical Simulation in Python

Change input to get desired output

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DataCamp Statistical Simulation in Python

Modify C and record outcomes

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DataCamp Statistical Simulation in Python

Change input to get desired output

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DataCamp Statistical Simulation in Python

Let's practice!

STATISTICAL SIMULATION IN PYTHON