Pluralsight Path Building Statistical and Mathematical Models with 2020

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A3. Binomial Coefficient Analysis with R (Deepika Singh, 2019).html

A3. Binomial Coefficient Analysis with R (Deepika Singh, 2019).png

A4. Beta and Gamma Function Implementation in R (Deepika Singh, 2020).html

A4. Beta and Gamma Function Implementation in R (Deepika Singh, 2020).png

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/A1. Understanding Statistical Models and Mathematical Models (Janani Ravi, 2019)/

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/1. Course Overview/

1. Course Overview.mp4

1. Course Overview.vtt

/.../2. Understanding Statistical and Mathematical Models/

1. Version Check.mp4

1. Version Check.vtt

2. Prerequisites and Course Outline.mp4

2. Prerequisites and Course Outline.vtt

3. Understanding Mathematical Models and Statistical Models.mp4

3. Understanding Mathematical Models and Statistical Models.vtt

4. Mathematical Models and Statistical Models - Differences and Applicati.mp4

4. Mathematical Models and Statistical Models - Differences and Applicati.vtt

5. Data and Metadata.mp4

5. Data and Metadata.vtt

6. Demo - Creating an Environment to Run the R Kernel on Jupyter Notebook.mp4

6. Demo - Creating an Environment to Run the R Kernel on Jupyter Notebook.vtt

7. Demo - Associating Metadata Using the Comment Function.mp4

7. Demo - Associating Metadata Using the Comment Function.vtt

8. Demo - Querying and Setting Metadata Using the Meta Function.mp4

8. Demo - Querying and Setting Metadata Using the Meta Function.vtt

/.../3. Case Studies on Statistical and Mathematical Models/

1. Modeling Population Growth Using ODEs.mp4

1. Modeling Population Growth Using ODEs.vtt

2. Interpreting Derivatives.mp4

2. Interpreting Derivatives.vtt

3. Verhulsts Decreasing Growth Model.mp4

3. Verhulsts Decreasing Growth Model.vtt

4. Modeling Value at Risk - A Simplistic Model.mp4

4. Modeling Value at Risk - A Simplistic Model.vtt

5. Understanding Monte Carlo Simulations.mp4

5. Understanding Monte Carlo Simulations.vtt

6. Using Monte Carlo Simulations to Model Value at Risk.mp4

6. Using Monte Carlo Simulations to Model Value at Risk.vtt

/.../4. Applying Mathematical Models in R/

1. Recap - Ordinary Differential Equations.mp4

1. Recap - Ordinary Differential Equations.vtt

2. Demo - Calculating the Derivative of a Function.mp4

2. Demo - Calculating the Derivative of a Function.vtt

3. Demo - Solving Differential Equations.mp4

3. Demo - Solving Differential Equations.vtt

4. Demo - Solving Verhulsts Equation for Population Growth.mp4

4. Demo - Solving Verhulsts Equation for Population Growth.vtt

5. The 8 Queens Problem.mp4

5. The 8 Queens Problem.vtt

6. Local Search Optimization Techniques.mp4

6. Local Search Optimization Techniques.vtt

7. Demo - Setting up Helper Functions to Solve the 8 Queens Optimization Prob.mp4

7. Demo - Setting up Helper Functions to Solve the 8 Queens Optimization Prob.vtt

8. Demo - Applying Local Search Optimization to Solve the Eight Queens Proble.mp4

8. Demo - Applying Local Search Optimization to Solve the Eight Queens Proble.vtt

/.../5. Applying Statistical Models in R/

1. Data Mining Statistics and Machine Learning.mp4

1. Data Mining Statistics and Machine Learning.vtt

2. Understanding Hypothesis Testing.mp4

2. Understanding Hypothesis Testing.vtt

3. The T-test and the Z-test.mp4

3. The T-test and the Z-test.vtt

4. Demo - Exploring the Automobile Dataset.mp4

4. Demo - Exploring the Automobile Dataset.vtt

5. Demo - One Sample T-test.mp4

5. Demo - One Sample T-test.vtt

6. Demo - One Sample Z-test.mp4

6. Demo - One Sample Z-test.vtt

7. Demo - Two Sample T-test.mp4

7. Demo - Two Sample T-test.vtt

8. Demo - Paired Sample T-test and Z-test.mp4

8. Demo - Paired Sample T-test and Z-test.vtt

9. Summary and Further Study.mp4

9. Summary and Further Study.vtt

/A2. Solving Problems with Numerical Methods (Janani Ravi, 2020)/

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/1. Course Overview/

1. Course Overview.mp4

1. Course Overview.vtt

/.../2. Understanding Numerical Methods/

1. Version Check.mp4

1. Version Check.vtt

2. Prerequisites and Course Outline.mp4

2. Prerequisites and Course Outline.vtt

3. Introducing Numerical Methods.mp4

3. Introducing Numerical Methods.vtt

4. Direct and Iterative Numerical Methods.mp4

4. Direct and Iterative Numerical Methods.vtt

5. Numerical Instability and Errors.mp4

5. Numerical Instability and Errors.vtt

6. Interpolation and Extrapolation.mp4

6. Interpolation and Extrapolation.vtt

7. Constant, Linear, Polynomial, and Spline Interpolation.mp4

7. Constant, Linear, Polynomial, and Spline Interpolation.vtt

8. System of Linear Equations.mp4

8. System of Linear Equations.vtt

9. Gaussian Elimination and Jacobi Method.mp4

9. Gaussian Elimination and Jacobi Method.vtt

/.../3. Applying Numerical Methods to Solve Problems/

1. Demo - Linear and Constant Interpolation.mp4

1. Demo - Linear and Constant Interpolation.vtt

2. Demo - Linear and Polynomial Extrapolation.mp4

2. Demo - Linear and Polynomial Extrapolation.vtt

3. Demo - Interpolation Using Spline and Smoothing Techniques.mp4

3. Demo - Interpolation Using Spline and Smoothing Techniques.vtt

4. Demo - Iterative Techniques - Jacobi Method to Solve Linear Equations.mp4

4. Demo - Iterative Techniques - Jacobi Method to Solve Linear Equations.vtt

5. Demo - Direct Techniques - Gaussian Elimination to Solve Linear Equations.mp4

5. Demo - Direct Techniques - Gaussian Elimination to Solve Linear Equations.vtt

6. Demo - Discretizing Continuous Data.mp4

6. Demo - Discretizing Continuous Data.vtt

7. Demo - Rounding Errors and Approximation Errors.mp4

7. Demo - Rounding Errors and Approximation Errors.vtt

8. Demo - Approximating Derivate Calculations.mp4

8. Demo - Approximating Derivate Calculations.vtt

9. Demo - Eulers Method and Numerical Instability.mp4

9. Demo - Eulers Method and Numerical Instability.vtt

/.../4. Working with Graphs Using Numerical Techniques/

01. Graphs and Graph Applications.mp4

01. Graphs and Graph Applications.vtt

02. Directed and Undirected Graphs.mp4

02. Directed and Undirected Graphs.vtt

03. Connected and Unconnected Graphs.mp4

03. Connected and Unconnected Graphs.vtt

04. Graph Representations.mp4

04. Graph Representations.vtt

05. Shortest Path Algorithms.mp4

05. Shortest Path Algorithms.vtt

06. Demo - Defining and Configuring Graphs.mp4

06. Demo - Defining and Configuring Graphs.vtt

07. Demo - Specifying Attributes for Edges and Vertices.mp4

07. Demo - Specifying Attributes for Edges and Vertices.vtt

08. Demo - Exploring Different Kinds of Graphs.mp4

08. Demo - Exploring Different Kinds of Graphs.vtt

09. Demo - Calculating Shortest Distances.mp4

09. Demo - Calculating Shortest Distances.vtt

10. Demo - Calculating Shortest Paths.mp4

10. Demo - Calculating Shortest Paths.vtt

/.../5. Implementing Local Search and Optimizations/

01. Solutions Approaches to N-Queens.mp4

01. Solutions Approaches to N-Queens.vtt

02. Introducing Local Search Algorithms.mp4

02. Introducing Local Search Algorithms.vtt

03. Simulated Annealing and Threshold Accepting.mp4

03. Simulated Annealing and Threshold Accepting.vtt

04. Demo - 8 Queens - Calculating Number of Attacks.mp4

04. Demo - 8 Queens - Calculating Number of Attacks.vtt

05. Demo - 8 Queens - Generating Candidate Solutions.mp4

05. Demo - 8 Queens - Generating Candidate Solutions.vtt

06. Demo - 8 Queens - Solution Using Local Search Techniques.mp4

06. Demo - 8 Queens - Solution Using Local Search Techniques.vtt

07. Objective Constraints and Decision Variables.mp4

07. Objective Constraints and Decision Variables.vtt

08. Wyndor Glass - Framing the Optimization Problem.mp4

08. Wyndor Glass - Framing the Optimization Problem.vtt

09. Setting up the Optimization as a Linear Programming Problem.mp4

09. Setting up the Optimization as a Linear Programming Problem.vtt

10. Solving the Linear Programming Problem Graphically.mp4

10. Solving the Linear Programming Problem Graphically.vtt

11. Demo - Solving Optimization Problems Using Linear Programming.mp4

11. Demo - Solving Optimization Problems Using Linear Programming.vtt

12. Demo - Linear Programming to Solve the Wyndor Glass Problem.mp4

12. Demo - Linear Programming to Solve the Wyndor Glass Problem.vtt

/.../6. Implementing Integration and Differentiation/

01. Modeling Population Growth.mp4

01. Modeling Population Growth.vtt

02. Interpreting Derivatives.mp4

02. Interpreting Derivatives.vtt

03. Verhulsts Equation for Population Growth.mp4

03. Verhulsts Equation for Population Growth.vtt

04. Understanding Integration.mp4

04. Understanding Integration.vtt

05. Demo - Calculating Derivatives.mp4

05. Demo - Calculating Derivatives.vtt

06. Demo - Calculating Velocity and Acceleration Using Derivatives.mp4

06. Demo - Calculating Velocity and Acceleration Using Derivatives.vtt

07. Demo - Performing Integration.mp4

07. Demo - Performing Integration.vtt

08. Demo - Using the ODE Solver to Solve Differential Equations.mp4

08. Demo - Using the ODE Solver to Solve Differential Equations.vtt

09. Demo - Solving Verhulsts Equation.mp4

09. Demo - Solving Verhulsts Equation.vtt

10. Summary and Further Study.mp4

10. Summary and Further Study.vtt

/B1. Applying the Mathematical MASS Model with R (Janani Ravi, 2020)/

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/1. Course Overview/

1. Course Overview.mp4

1. Course Overview.vtt

/.../2. Performing Qualitative and Quantitative Analysis Using MASS Datasets/

01. Version Check.mp4

01. Version Check.vtt

02. Prerequisites and Course Outline.mp4

02. Prerequisites and Course Outline.vtt

03. Introducing the MASS Package.mp4

03. Introducing the MASS Package.vtt

04. Qualitative and Quantitative Data.mp4

04. Qualitative and Quantitative Data.vtt

05. Hypothesis Testing Using t-tests.mp4

05. Hypothesis Testing Using t-tests.vtt

06. Hypothesis Testing Using ANOVA.mp4

06. Hypothesis Testing Using ANOVA.vtt

07. Demo - Integrating with the MASS Package.mp4

07. Demo - Integrating with the MASS Package.vtt

08. Demo - Quantitative and Qualitative Analysis of Bi.mp4

08. Demo - Quantitative and Qualitative Analysis of Bi.vtt

09. Demo - Running t-tests on Birthweight Data.mp4

09. Demo - Running t-tests on Birthweight Data.vtt

10. Demo - Quantitative and Qualitative Analysis of Ca.mp4

10. Demo - Quantitative and Qualitative Analysis of Ca.vtt

11. Demo - Executing ANOVA Analysis on Cars Data.mp4

11. Demo - Executing ANOVA Analysis on Cars Data.vtt

12. Demo - Paired Sample t-test on Anorexia Data.mp4

12. Demo - Paired Sample t-test on Anorexia Data.vtt

/.../3. Performing Predictive Analytics Using MASS Models/

1. Principal Component Analysis - Intuition.mp4

1. Principal Component Analysis - Intuition.vtt

2. Linear Discriminant Analysis and Quadratic Discriminant Analysis.mp4

2. Linear Discriminant Analysis and Quadratic Discriminant Analysis.vtt

3. Fitting Robust Linear Models.mp4

3. Fitting Robust Linear Models.vtt

4. Demo - Linear Discriminant Analysis (LDA) and Visualization.mp4

4. Demo - Linear Discriminant Analysis (LDA) and Visualization.vtt

5. Demo - LDA Using All Column Values.mp4

5. Demo - LDA Using All Column Values.vtt

6. Demo - Quadratic Discriminant Analysis.mp4

6. Demo - Quadratic Discriminant Analysis.vtt

7. Demo - Fitting a Robust Linear Model.mp4

7. Demo - Fitting a Robust Linear Model.vtt

8. Demo - Robust Regression Using the Boston Housing Dataset.mp4

8. Demo - Robust Regression Using the Boston Housing Dataset.vtt

/.../4. Implementing Multi-state Models in R/

01. Multi-state Models.mp4

01. Multi-state Models.vtt

02. Survival Models.mp4

02. Survival Models.vtt

03. Types of State Models.mp4

03. Types of State Models.vtt

04. Understanding Weibull Distributions to Model State Transitions.mp4

04. Understanding Weibull Distributions to Model State Transitions.vtt

05. Examples of Multi-state Models.mp4

05. Examples of Multi-state Models.vtt

06. The Kaplan-Meier Estimator and the Log Rank Test.mp4

06. The Kaplan-Meier Estimator and the Log Rank Test.vtt

07. Demo - Understanding the Multi-state Model Data.mp4

07. Demo - Understanding the Multi-state Model Data.vtt

08. Demo - Modeling Transition Probabilities and Simulating Outcomes.mp4

08. Demo - Modeling Transition Probabilities and Simulating Outcomes.vtt

09. Demo - Visualizing and Interpreting State Occupancy Probabilities.mp4

09. Demo - Visualizing and Interpreting State Occupancy Probabilities.vtt

10. Demo - Modeling Survival Analysis.mp4

10. Demo - Modeling Survival Analysis.vtt

11. Demo - Log Rank Tests and the Proportional Hazards Model.mp4

11. Demo - Log Rank Tests and the Proportional Hazards Model.vtt

12. Summary and Further Study.mp4

12. Summary and Further Study.vtt

/B2. Applying Differential Equations and Inverse Models with R (Janani Ravi, 2020)/

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/1. Course Overview/

1. Course Overview.mp4

1. Course Overview.vtt

/.../2. Getting Started with Differential Equations/

01. Version Check.mp4

01. Version Check.vtt

02. Prerequisites and Course Outline.mp4

02. Prerequisites and Course Outline.vtt

03. Introducing Differentiation.mp4

03. Introducing Differentiation.vtt

04. Interpreting Derivatives.mp4

04. Interpreting Derivatives.vtt

05. Verhulsts Equation of Population Growth.mp4

05. Verhulsts Equation of Population Growth.vtt

06. Introducing Integration to Solve Differential Equations.mp4

06. Introducing Integration to Solve Differential Equations.vtt

07. Types of Differential Equations.mp4

07. Types of Differential Equations.vtt

08. Initial and Boundary Value Problems.mp4

08. Initial and Boundary Value Problems.vtt

09. Analytical and Numerical Solvers.mp4

09. Analytical and Numerical Solvers.vtt

10. Modeling Technology Adoption Using an S-curve.mp4

10. Modeling Technology Adoption Using an S-curve.vtt

11. Modeling Financial Assets Using PDEs.mp4

11. Modeling Financial Assets Using PDEs.vtt

/.../3. Understanding Types of Differential Equations/

1. Ordinary Differential Equations.mp4

1. Ordinary Differential Equations.vtt

2. Differential Algebraic Equations.mp4

2. Differential Algebraic Equations.vtt

3. Partial Differential Equations.mp4

3. Partial Differential Equations.vtt

4. Solving Partial Differential Equations.mp4

4. Solving Partial Differential Equations.vtt

5. The Diffusion Equation.mp4

5. The Diffusion Equation.vtt

6. Delay Differential Equations.mp4

6. Delay Differential Equations.vtt

7. Infectious Disease Modeling.mp4

7. Infectious Disease Modeling.vtt

/.../4. Solving Differential Equations/

1. Demo - Solving ODEs - The Population Growth Model.mp4

1. Demo - Solving ODEs - The Population Growth Model.vtt

2. Demo - Solving ODEs - Van Der Pols Equation.mp4

2. Demo - Solving ODEs - Van Der Pols Equation.vtt

3. Demo - Solving ODEs - Chaotic Solutions to Lorenzs Equation.mp4

3. Demo - Solving ODEs - Chaotic Solutions to Lorenzs Equation.vtt

4. Demo - Solving DAEs - An Auto-catalytic Chemical Reaction.mp4

4. Demo - Solving DAEs - An Auto-catalytic Chemical Reaction.vtt

5. Demo - Solving DAEs - The Pendulum Equation.mp4

5. Demo - Solving DAEs - The Pendulum Equation.vtt

6. Demo - Solving PDEs - The Diffusion Equation for Heat Transfer.mp4

6. Demo - Solving PDEs - The Diffusion Equation for Heat Transfer.vtt

7. Demo - Solving DDEs - Infectious Disease Modeling.mp4

7. Demo - Solving DDEs - Infectious Disease Modeling.vtt

/.../5. Understanding and Applying Linear Inverse Models/

01. Framing the Optimization Problem.mp4

01. Framing the Optimization Problem.vtt

02. Forward Models and Inverse Models.mp4

02. Forward Models and Inverse Models.vtt

03. The Wyndor Glass Case Study.mp4

03. The Wyndor Glass Case Study.vtt

04. Primal and Dual Problems.mp4

04. Primal and Dual Problems.vtt

05. Underdetermined and Overdetermined Systems.mp4

05. Underdetermined and Overdetermined Systems.vtt

06. Demo - Solving Even Determined Systems.mp4

06. Demo - Solving Even Determined Systems.vtt

07. Demo - Solving Overdetermined Systems.mp4

07. Demo - Solving Overdetermined Systems.vtt

08. Demo - Solving Underdetermined Systems.mp4

08. Demo - Solving Underdetermined Systems.vtt

09. Demo - Applying Linear Inverse Models.mp4

09. Demo - Applying Linear Inverse Models.vtt

10. Summary and Further Study.mp4

10. Summary and Further Study.vtt

/B3. Performing Dimension Analysis with R (Janani Ravi, 2020)/

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/1. Course Overview/

1. Course Overview.mp4

1. Course Overview.vtt

/.../2. Understanding the Importance of Reducing Complexity in Data/

01. Version Check.mp4

01. Version Check.vtt

02. Prerequisites and Course Outline.mp4

02. Prerequisites and Course Outline.vtt

03. The Curse of Dimensionality.mp4

03. The Curse of Dimensionality.vtt

04. Drawbacks of Dimensionality Reduction.mp4

04. Drawbacks of Dimensionality Reduction.vtt

05. Overfitting and the Bias-variance Trade-off.mp4

05. Overfitting and the Bias-variance Trade-off.vtt

06. Techniques to Reduce Complexity.mp4

06. Techniques to Reduce Complexity.vtt

07. Choosing the Right Technique.mp4

07. Choosing the Right Technique.vtt

08. Demo - Exploring the Boston Housing Dataset.mp4

08. Demo - Exploring the Boston Housing Dataset.vtt

09. Demo - Selecting Predictors to Build Regression Models.mp4

09. Demo - Selecting Predictors to Build Regression Models.vtt

10. Demo - Performing Stepwise and Kitchen Sink Regression.mp4

10. Demo - Performing Stepwise and Kitchen Sink Regression.vtt

/.../3. Performing Dimensional Analysis for Continuous Data/

1. Principal Components Analysis.mp4

1. Principal Components Analysis.vtt

2. Partial Least Squares Regression.mp4

2. Partial Least Squares Regression.vtt

3. Demo - Performing Principal Component Analysis.mp4

3. Demo - Performing Principal Component Analysis.vtt

4. Demo - Regression Using Principal Components.mp4

4. Demo - Regression Using Principal Components.vtt

5. Demo - Principal Components Regression.mp4

5. Demo - Principal Components Regression.vtt

6. Demo - Partial Least Squares Regression.mp4

6. Demo - Partial Least Squares Regression.vtt

/.../4. Performing Dimensional Analysis for Categorical Data/

1. Linear Discriminant Analysis and Quadratic Discriminant Analysis.mp4

1. Linear Discriminant Analysis and Quadratic Discriminant Analysis.vtt

2. Demo - Exploring and Preparing Data for Linear Discriminant Analysis.mp4

2. Demo - Exploring and Preparing Data for Linear Discriminant Analysis.vtt

3. Demo - Performing Linear Discriminant Analysis on Glass Data.mp4

3. Demo - Performing Linear Discriminant Analysis on Glass Data.vtt

4. Demo - Performing Quadratic Discriminant Analysis on Glass Data.mp4

4. Demo - Performing Quadratic Discriminant Analysis on Glass Data.vtt

/.../5. Performing Dimensional Analysis for Non-linear Data/

1. Manifold Learning.mp4

1. Manifold Learning.vtt

2. Demo - Manifold Learning Using Metric and Non-metric MDS.mp4

2. Demo - Manifold Learning Using Metric and Non-metric MDS.vtt

3. Demo - Manifold Learning Using t-SNE, Isomap, and LLE.mp4

3. Demo - Manifold Learning Using t-SNE, Isomap, and LLE.vtt

4. Demo - Kernel PCA for Non-linearly Separable Data.mp4

4. Demo - Kernel PCA for Non-linearly Separable Data.vtt

5. Module Summary.mp4

5. Module Summary.vtt

/B4. Applying Linear Algebra with R (Brandon Strain, 2020)/

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/1. Course Overview/

1. Course Overview.mp4

1. Course Overview.vtt

/.../2. Working with Vectors and Matrices in R/

1. Working with Vectors and Matrices in R.mp4

1. Working with Vectors and Matrices in R.vtt

/.../3. Understanding Operations on Matrices/

1. Understanding Operations on Matrices.mp4

1. Understanding Operations on Matrices.vtt

/.../4. Getting Weird - Inverting, Transposing, and Row Equivalence/

1. Getting Weird.mp4

1. Getting Weird.vtt

/.../5. Solving Linear Equations/

1. Solving Linear Equations.mp4

1. Solving Linear Equations.vtt

/.../6. Understanding and Calculating Eigenvalues and Eigenvectors/

1. Understanding and Calculating Eigenvalues and Eigenvectors.mp4

1. Understanding and Calculating Eigenvalues and Eigenvectors.vtt

/.../7. Calculating the kth Item in a Series/

1. Calculating the kth Item in a Series.mp4

1. Calculating the kth Item in a Series.vtt

2. Difference Equations.mp4

2. Difference Equations.vtt

3. Demo - Calculating the kth Item in a Series.mp4

3. Demo - Calculating the kth Item in a Series.vtt

/.../8. Implementing Matrix Decomposition/

1. Implementing Matrix Decomposition.mp4

1. Implementing Matrix Decomposition.vtt

2. Demo - Implementing Matrix Decomposition.mp4

2. Demo - Implementing Matrix Decomposition.vtt

/.../9. Using Least Squares Calculations/

1. Using Least Squares Calculations.mp4

1. Using Least Squares Calculations.vtt

2. Demo - Using Least Squares Calculations.mp4

2. Demo - Using Least Squares Calculations.vtt

/C1. Building Statistical Summaries with R (Janani Ravi, 2019)/

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/1. Course Overview/

1. Course Overview.mp4

1. Course Overview.vtt

/.../2. Understanding Statistical Summaries/

01. Version Check.mp4

01. Version Check.vtt

02. Prerequisites and Course Outline.mp4

02. Prerequisites and Course Outline.vtt

03. The Role of Statistics in Understanding Data.mp4

03. The Role of Statistics in Understanding Data.vtt

04. Hypothesis Testing.mp4

04. Hypothesis Testing.vtt

05. P-values, Power, and Alpha of Statistical Tests.mp4

05. P-values, Power, and Alpha of Statistical Tests.vtt

06. Introducing the T-test.mp4

06. Introducing the T-test.vtt

07. The T-test for Different Use Cases.mp4

07. The T-test for Different Use Cases.vtt

08. The Z-test.mp4

08. The Z-test.vtt

09. One-way ANOVA - Assumptions and Alternatives.mp4

09. One-way ANOVA - Assumptions and Alternatives.vtt

10. Two-way ANOVA and Assumptions.mp4

10. Two-way ANOVA and Assumptions.vtt

11. Pearsons Chi2 Test.mp4

11. Pearsons Chi2 Test.vtt

/.../3. Solving Problems Using Statistical Inference/

1. Demo - Preprocessing Data.mp4

1. Demo - Preprocessing Data.vtt

2. Demo - One Sample T-test and Z-test.mp4

2. Demo - One Sample T-test and Z-test.vtt

3. Demo - Two Sample T-test.mp4

3. Demo - Two Sample T-test.vtt

4. Demo - Type I and Type II Errors.mp4

4. Demo - Type I and Type II Errors.vtt

5. Demo - Performing Chi2 Analysis.mp4

5. Demo - Performing Chi2 Analysis.vtt

6. Demo - Interpreting the Results of Chi2 Analysis.mp4

6. Demo - Interpreting the Results of Chi2 Analysis.vtt

7. Demo - One-way ANOVA.mp4

7. Demo - One-way ANOVA.vtt

8. Demo - Assumptions of One-way ANOVA and Alternatives.mp4

8. Demo - Assumptions of One-way ANOVA and Alternatives.vtt

9. Demo - Two-way ANOVA.mp4

9. Demo - Two-way ANOVA.vtt

/.../4. Implementing Statistical Models/

1. Continuous and Categorical Data.mp4

1. Continuous and Categorical Data.vtt

2. Linear Regression.mp4

2. Linear Regression.vtt

3. Demo - Exploring Data for Regression Analysis.mp4

3. Demo - Exploring Data for Regression Analysis.vtt

4. Demo - Performing Linear Regression and Interpretings Results.mp4

4. Demo - Performing Linear Regression and Interpretings Results.vtt

5. Logistic Regression.mp4

5. Logistic Regression.vtt

6. Odds Ratio and the Forest Plot.mp4

6. Odds Ratio and the Forest Plot.vtt

7. Demo - Performing Logistic Regression.mp4

7. Demo - Performing Logistic Regression.vtt

8. Demo - Accuracy, Sensitivity, and Specificity of the Logistic Regression Model.mp4

8. Demo - Accuracy, Sensitivity, and Specificity of the Logistic Regression Model.vtt

/.../5. Implementing Bayesian AB Testing/

01. Introducing AB Testing.mp4

01. Introducing AB Testing.vtt

02. Distributions and Statistical Tests.mp4

02. Distributions and Statistical Tests.vtt

03. Bayes Theorem Intuition.mp4

03. Bayes Theorem Intuition.vtt

04. Frequentist Approach vs. Bayesian Approach.mp4

04. Frequentist Approach vs. Bayesian Approach.vtt

05. The Conjugate Prior.mp4

05. The Conjugate Prior.vtt

06. Understanding the Bayesian AB Test.mp4

06. Understanding the Bayesian AB Test.vtt

07. Demo - Modelling Outcomes and Priors for the Bayes AB Test.mp4

07. Demo - Modelling Outcomes and Priors for the Bayes AB Test.vtt

08. Demo - Performing and Interpreting the Bayesian AB Test for Click-through Rates.mp4

08. Demo - Performing and Interpreting the Bayesian AB Test for Click-through Rates.vtt

09. Demo - Performing and Interpreting the Bayesian AB Test for Page Interactions.mp4

09. Demo - Performing and Interpreting the Bayesian AB Test for Page Interactions.vtt

10. Summary and Further Study.mp4

10. Summary and Further Study.vtt

/C2. Implementing Bootstrap Methods in R (Janani Ravi, 2020)/

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/1. Course Overview/

1. Course Overview.mp4

1. Course Overview.vtt

/.../2. Getting Started with Bootstrapping in R/

01. Version Check.mp4

01. Version Check.vtt

02. Prerequisites and Course Outline.mp4

02. Prerequisites and Course Outline.vtt

03. Sample Statistics and Confidence Intervals.mp4

03. Sample Statistics and Confidence Intervals.vtt

04. Normally Distributed Data - Estimating Mean.mp4

04. Normally Distributed Data - Estimating Mean.vtt

05. Normally Distributed Data - Calculating Confidence Intervals.mp4

05. Normally Distributed Data - Calculating Confidence Intervals.vtt

06. Data with Any Distribution - Estimating Mean and Confidence Intervals.mp4

06. Data with Any Distribution - Estimating Mean and Confidence Intervals.vtt

07. Implications of the Central Limit Theorem.mp4

07. Implications of the Central Limit Theorem.vtt

08. Demo - The Central Limit Theorem with Different Distributions.mp4

08. Demo - The Central Limit Theorem with Different Distributions.vtt

09. Demo - The Central Limit Theorem on Real Data.mp4

09. Demo - The Central Limit Theorem on Real Data.vtt

10. Drawbacks of Conventional Approaches.mp4

10. Drawbacks of Conventional Approaches.vtt

11. Introducing Bootstrapping.mp4

11. Introducing Bootstrapping.vtt

12. Bootstrapped Confidence Intervals.mp4

12. Bootstrapped Confidence Intervals.vtt

/.../3. Implementing Bootstrap Methods for Summary Statistics/

1. Demo - Bootstrap Statistics and Sample Statistics.mp4

1. Demo - Bootstrap Statistics and Sample Statistics.vtt

2. Demo - Performing Bootstrapping on Real Data.mp4

2. Demo - Performing Bootstrapping on Real Data.vtt

3. Demo - Performing Bootstrapping Using the Boot Method.mp4

3. Demo - Performing Bootstrapping Using the Boot Method.vtt

4. Demo - Bootstrapping Multiple Statistics.mp4

4. Demo - Bootstrapping Multiple Statistics.vtt

5. Introducing the Bayesian Bootstrap.mp4

5. Introducing the Bayesian Bootstrap.vtt

6. Bayesian Bootstrap Algorithm.mp4

6. Bayesian Bootstrap Algorithm.vtt

7. Demo - Performing Bayesian Bootstrapping.mp4

7. Demo - Performing Bayesian Bootstrapping.vtt

8. Introducing the Smoothed Bootstrap.mp4

8. Introducing the Smoothed Bootstrap.vtt

9. Demo - Smoothed Bootstrap.mp4

9. Demo - Smoothed Bootstrap.vtt

/.../4. Implementing Bootstrap Methods for Regression Models/

1. Introducing Linear Regression.mp4

1. Introducing Linear Regression.vtt

2. Regression Metrics and Bootstrapping.mp4

2. Regression Metrics and Bootstrapping.vtt

3. Case Resampling and Residual Resampling.mp4

3. Case Resampling and Residual Resampling.vtt

4. Demo - Estimating R2 of Regression Models Using Bootstrapping.mp4

4. Demo - Estimating R2 of Regression Models Using Bootstrapping.vtt

5. Demo - Estimating Coefficients Using Bootstrapping.mp4

5. Demo - Estimating Coefficients Using Bootstrapping.vtt

6. Demo - Case Resampling and Residual Resampling Using the Boot() Method.mp4

6. Demo - Case Resampling and Residual Resampling Using the Boot() Method.vtt

7. Summary and Further Study.mp4

7. Summary and Further Study.vtt

/C3. Implementing Monte Carlo Method in R (Chase DeHan, 2020)/

exercise.7z

playlist.m3u

~i.txt

/1. Course Overview/

1. Course Overview.mp4

1. Course Overview.vtt

/.../2. Understanding Monte Carlo Basics/

1. Introduction to Monte Carlo.mp4

1. Introduction to Monte Carlo.vtt

2. MC Basics in R.mp4

2. MC Basics in R.vtt

3. Rolling the Dice.mp4

3. Rolling the Dice.vtt

4. Estimating Pi.mp4

4. Estimating Pi.vtt

/.../3. Making Predictions with Monte Carlo/

1. Introduction.mp4

1. Introduction.vtt

2. Random Walk.mp4

2. Random Walk.vtt

3. Simulating Random Walk with MC.mp4

3. Simulating Random Walk with MC.vtt

4. Point Estimates and Confidence Intervals.mp4

4. Point Estimates and Confidence Intervals.vtt

5. Predictions on Commodities Data.mp4

5. Predictions on Commodities Data.vtt

6. Conclusion.mp4

6. Conclusion.vtt

/.../4. Using Monte Carlo for Value at Risk/

1. Introduction to Value at Risk.mp4

1. Introduction to Value at Risk.vtt

2. Data Preparation.mp4

2. Data Preparation.vtt

3. Parametric and Historical VaR.mp4

3. Parametric and Historical VaR.vtt

4. Monte Carlo VaR.mp4

4. Monte Carlo VaR.vtt

/.../5. Utilizing MC for AB Testing/

1. Introduction to AB Testing.mp4

1. Introduction to AB Testing.vtt

2. Two Sample t-test.mp4

2. Two Sample t-test.vtt

3. Chi-squared Test.mp4

3. Chi-squared Test.vtt

4. AB Testing with Monte Carlo.mp4

4. AB Testing with Monte Carlo.vtt

5. Inserting a Prior into the Simulations.mp4

5. Inserting a Prior into the Simulations.vtt

Total files 591