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Pluralsight Path. Interpreting Data with R (2019)

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种子名称: Pluralsight Path. Interpreting Data with R (2019)
文件类型: 视频
文件数目: 95个文件
文件大小: 469.77 MB
收录时间: 2023-1-7 10:22
已经下载: 3
资源热度: 155
最近下载: 2024-12-22 16:24

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Pluralsight Path. Interpreting Data with R (2019).torrent
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/1. Course Overview/1. Course Overview.mp43.57MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/2. Visualizing Relationships within Data/1. Introduction.mp41.61MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/2. Visualizing Relationships within Data/2. Understanding and Implementing Scatter Plots.mp49.39MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/2. Visualizing Relationships within Data/3. Understanding and Implementing Bar Plots.mp45.95MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/2. Visualizing Relationships within Data/4. Understanding and Implementing Pie Charts.mp44.09MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/2. Visualizing Relationships within Data/5. Understanding and Implementing Histograms.mp44.46MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/2. Visualizing Relationships within Data/6. Additional Visualization Tools.mp43.75MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/2. Visualizing Relationships within Data/7. Summary.mp41.82MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/3. Discovering Relationships within Data/1. Introduction.mp41.42MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/3. Discovering Relationships within Data/2. Measures of Central Tendency.mp49.98MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/3. Discovering Relationships within Data/3. Measures of Dispersion.mp412.74MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/3. Discovering Relationships within Data/4. Five-number Summary and Boxplots.mp45.97MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/3. Discovering Relationships within Data/5. Summary.mp41.62MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/4. Calculating Correlation between Variables/1. Introduction.mp41.25MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/4. Calculating Correlation between Variables/2. Understanding Covariance and Correlation.mp46.16MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/4. Calculating Correlation between Variables/3. Implementing Covariance and Correlation.mp412.58MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/4. Calculating Correlation between Variables/4. Summary.mp41.77MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/5. Creating Correlation Matrices/1. Introduction.mp41.2MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/5. Creating Correlation Matrices/2. Understanding Correlation Matrices.mp45.74MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/5. Creating Correlation Matrices/3. Implementing Correlation Matrices.mp47.4MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/5. Creating Correlation Matrices/4. Correlation Matrix Visualization Methods.mp47.71MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/5. Creating Correlation Matrices/5. Summary.mp41.93MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/6. Visualizing Correlation Matrices using Heatmap/1. Introduction.mp41.02MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/6. Visualizing Correlation Matrices using Heatmap/2. Understanding Heatmaps.mp49.26MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/6. Visualizing Correlation Matrices using Heatmap/3. Implementing Heatmaps.mp49.76MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/6. Visualizing Correlation Matrices using Heatmap/4. Additional Heatmap Visualization Methods.mp47.02MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/6. Visualizing Correlation Matrices using Heatmap/5. Summary.mp41.21MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/7. Visualizing Relationships using Pairplot/1. Introduction.mp41.26MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/7. Visualizing Relationships using Pairplot/2. Understanding Pairs Plots.mp45.82MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/7. Visualizing Relationships using Pairplot/3. Implementing Pairs Plots.mp44.79MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/7. Visualizing Relationships using Pairplot/4. Additional Pairs Plots Visualization Methods.mp46.06MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/7. Visualizing Relationships using Pairplot/5. Further Learning and Next Steps.mp42.92MB
  • A1. Finding Relationships in Data with R (Justin Flett, 2019)/7. Visualizing Relationships using Pairplot/6. Summary.mp42.89MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/1. Course Overview/1. Course Overview.mp42.63MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/2. Creating Statistical Models/1. Creating Statistical Models.mp47.56MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/2. Creating Statistical Models/2. Statistical Models.mp45.57MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/2. Creating Statistical Models/3. Examples of Statistical Models.mp45.21MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/2. Creating Statistical Models/4. Types of Data.mp49.03MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/2. Creating Statistical Models/5. Statistical Paradigms.mp47.28MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/3. Fitting Statistical Models/1. Probability Distributions.mp49.36MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/3. Fitting Statistical Models/2. Probability Theory.mp45.32MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/3. Fitting Statistical Models/3. Finding Model Parameters.mp410.22MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/3. Fitting Statistical Models/4. Choosing the Best Estimate.mp43.84MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/3. Fitting Statistical Models/5. Distribution of the Mean and Variance.mp44.82MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/3. Fitting Statistical Models/6. Further Fitting Methods.mp43.58MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/4. Implementing a Predictive Model - Single-variable Linear Regression/1. Regression.mp45.42MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/4. Implementing a Predictive Model - Single-variable Linear Regression/2. Linear Regression.mp46.13MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/4. Implementing a Predictive Model - Single-variable Linear Regression/3. Categorical Predictors.mp410.11MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/4. Implementing a Predictive Model - Single-variable Linear Regression/4. Non-linear Regression.mp48.77MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/5. Drawing Conclusions from Data with Statistical Testing/1. Statistical Testing.mp47.75MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/5. Drawing Conclusions from Data with Statistical Testing/2. The t-test.mp48.83MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/5. Drawing Conclusions from Data with Statistical Testing/3. Evaluating Tests.mp42.68MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/5. Drawing Conclusions from Data with Statistical Testing/4. Tables of Categorical Data.mp43.06MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/5. Drawing Conclusions from Data with Statistical Testing/5. Differences between Multiple Groups.mp44.8MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/5. Drawing Conclusions from Data with Statistical Testing/6. A Word of Caution.mp44.13MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/6. Using Multi-variable Linear Regression/1. Multi-variable Linear Regression.mp46.29MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/6. Using Multi-variable Linear Regression/2. A Look at Regression Assumptions.mp46.49MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/7. Ensuring Predictive Accuracy/1. Prediction Error on New Data.mp45.77MB
  • A2. Interpreting Data Using Statistical Models in R (Fredrik Hallgren, 2019)/7. Ensuring Predictive Accuracy/2. Improving Prediction Accuracy.mp44.6MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/1. Course Overview/1. Course Overview.mp42.69MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/2. Understanding Types of Variables and Measurement Scales/1. Introduction and Data Types.mp43.72MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/2. Understanding Types of Variables and Measurement Scales/2. Measurement Scales.mp43.67MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/2. Understanding Types of Variables and Measurement Scales/3. Demo.mp46.05MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/2. Understanding Types of Variables and Measurement Scales/4. Summary.mp41.85MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/3. Interpreting Measures of Location within R/01. Intro and Topic Outline.mp41.26MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/3. Interpreting Measures of Location within R/02. Central Tendency.mp42.43MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/3. Interpreting Measures of Location within R/03. How to Use Mean.mp41.67MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/3. Interpreting Measures of Location within R/04. Demo - Mean.mp43.36MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/3. Interpreting Measures of Location within R/05. When to Use Median.mp44.11MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/3. Interpreting Measures of Location within R/06. Demo - Median.mp45.39MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/3. Interpreting Measures of Location within R/07. Mode with Two Data Types.mp41.77MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/3. Interpreting Measures of Location within R/08. Demo - Mode.mp44.22MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/3. Interpreting Measures of Location within R/09. Percentiles and Quartiles.mp43.62MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/3. Interpreting Measures of Location within R/10. Demo - Percentiles and Quartiles.mp43.37MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/3. Interpreting Measures of Location within R/11. Summary.mp44.22MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/4. Measuring Variance with Descriptive Statistics/01. Intro and Topic Outline.mp41.13MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/4. Measuring Variance with Descriptive Statistics/02. Variance for Population and Sample.mp46.69MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/4. Measuring Variance with Descriptive Statistics/03. Demo - Variance Applied to Home Loans.mp45.49MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/4. Measuring Variance with Descriptive Statistics/04. Standard Deviation for Population and Sample.mp43.5MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/4. Measuring Variance with Descriptive Statistics/05. Demo - Standard Deviation.mp47.26MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/4. Measuring Variance with Descriptive Statistics/06. Range, Interquartile Range, and Box and Whisker Plot.mp43.99MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/4. Measuring Variance with Descriptive Statistics/07. Demo - Range, Interquartile Range, and Box and Whisker Plot.mp45.54MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/4. Measuring Variance with Descriptive Statistics/08. Coefficient of Variation.mp41.84MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/4. Measuring Variance with Descriptive Statistics/09. Demo - Coefficient of Variation.mp45.65MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/4. Measuring Variance with Descriptive Statistics/10. Summary.mp41MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/5. Creating Credit Application Summary for Month over Month Data/1. Introduction and Topics Covered.mp41.72MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/5. Creating Credit Application Summary for Month over Month Data/2. Dataset and Goal of Analysis.mp42.66MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/5. Creating Credit Application Summary for Month over Month Data/3. Demo - Importing and Converting Data Types.mp48.37MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/5. Creating Credit Application Summary for Month over Month Data/4. Demo - Library(dplyr) Package for Summary Statistics of.mp47.88MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/5. Creating Credit Application Summary for Month over Month Data/5. Demo - Best Function for Summary Statistics by Group.mp44.66MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/5. Creating Credit Application Summary for Month over Month Data/6. Demo - Analyze and Interpret Month over Month Summary S.mp413.8MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/6. Applying Standard Error and Confidence Estimates to a Sample Mean/1. Intro and Course Outline.mp41.05MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/6. Applying Standard Error and Confidence Estimates to a Sample Mean/2. Standard Error and Confidence Interval.mp45.64MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/6. Applying Standard Error and Confidence Estimates to a Sample Mean/3. Demo.mp44.47MB
  • B1. Interpreting Data Using Descriptive Statistics with R (Emilee McWilliams, 2019)/6. Applying Standard Error and Confidence Estimates to a Sample Mean/4. Summary.mp4635.29KB