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Pluralsight Path. Interpreting Data with Python (2019)

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Pluralsight Path Interpreting Data with Python 2019

文件列表
  1. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.64MB
  2. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/01. Version Check.mp4566.1KB
  3. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/02. Module Overview.mp41.71MB
  4. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/03. Prerequisites and Course Outline.mp41.54MB
  5. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/04. Statistics in Understanding Data.mp46.44MB
  6. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/05. Measures of Central Tendency and Dispersion.mp47.67MB
  7. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/06. Bivariate and Multivariate Descriptive Statistics.mp44.65MB
  8. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/07. Demo - Loading Cleaning and Preparing Data.mp410.63MB
  9. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/08. Demo - Exploring and Visualizing Relationships.mp413.18MB
  10. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/09. Demo - Calculating and Visualizing Correlations.mp417.31MB
  11. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/10. Autocorrelation.mp42.16MB
  12. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/11. Demo - Calculating and Visualizing Autocorrelation.mp49.99MB
  13. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/12. Demo - Line Plots and Bar Graphs.mp47.81MB
  14. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/13. Demo - Box Plots Violin Plots and Pie Charts.mp49.7MB
  15. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/2. Identifying and Visualizing Common Relationships in Data/14. Module Summary.mp41.74MB
  16. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/3. Identifying and Visualizing Probabilistic and Statistical Relationships/1. Module Overview.mp43.55MB
  17. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/3. Identifying and Visualizing Probabilistic and Statistical Relationships/2. Kernel Density Estimation.mp45.05MB
  18. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/3. Identifying and Visualizing Probabilistic and Statistical Relationships/3. Demo - Histograms, KDE Plots, Rug Plots.mp414.72MB
  19. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/3. Identifying and Visualizing Probabilistic and Statistical Relationships/4. Demo - Exploring Continuous and Categorical Relationships.mp413.22MB
  20. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/3. Identifying and Visualizing Probabilistic and Statistical Relationships/5. Demo - Pairwise Relationships.mp413.08MB
  21. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/3. Identifying and Visualizing Probabilistic and Statistical Relationships/6. Demo - Visualizing Multiple Relationships with Facets.mp47.97MB
  22. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/3. Identifying and Visualizing Probabilistic and Statistical Relationships/7. Module Summary.mp41.82MB
  23. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/4. Using Interactive Visualizations to Explore Relationships in Data/01. Module Overview.mp42.04MB
  24. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/4. Using Interactive Visualizations to Explore Relationships in Data/02. Introducing Altair.mp44.06MB
  25. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/4. Using Interactive Visualizations to Explore Relationships in Data/03. Demo - Getting Started with Altair.mp416.98MB
  26. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/4. Using Interactive Visualizations to Explore Relationships in Data/04. Demo - Simple Altair Plots to Slice and Explore Data.mp410.86MB
  27. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/4. Using Interactive Visualizations to Explore Relationships in Data/05. Demo - Visualizing Relationships Using Binning and Aggregation.mp47.62MB
  28. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/4. Using Interactive Visualizations to Explore Relationships in Data/06. Demo - Interactive Visualizations with Altair.mp417.58MB
  29. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/4. Using Interactive Visualizations to Explore Relationships in Data/07. Introducing Plotly.mp42.3MB
  30. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/4. Using Interactive Visualizations to Explore Relationships in Data/08. Demo - Interactive Visualizations for Financial Data Using Plotly.mp411.82MB
  31. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/4. Using Interactive Visualizations to Explore Relationships in Data/09. Demo - Geographical Plots Using Bubble Maps.mp47.02MB
  32. A1. Finding Relationships in Data with Python (Janani Ravi, 2019)/4. Using Interactive Visualizations to Explore Relationships in Data/10. Summary and Further Study.mp41.91MB
  33. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.6MB
  34. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/01. Version Check.mp4616.54KB
  35. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/02. Module Overview.mp42.26MB
  36. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/03. Prerequisites and Course Outline.mp41.76MB
  37. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/04. Descriptive Statistics to Summarize Data.mp46.37MB
  38. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/05. Introducing Hypothesis Testing.mp47.65MB
  39. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/06. Lady Tasting Tea.mp47.69MB
  40. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/07. The Power, Alpha and p-value of a Statistical Test.mp43.77MB
  41. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/08. Introducing the t-test.mp46.16MB
  42. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/09. One Sample Location t-test and the Z-Test.mp44.67MB
  43. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/10. Other Types of t-tests.mp49.77MB
  44. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/11. One-way ANOVA.mp49.9MB
  45. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/12. Two-way ANOVA.mp43.84MB
  46. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/13. Pearsons Chi2 Test.mp46.77MB
  47. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/2. Understanding Inferential Statistics/14. Module Summary.mp42.23MB
  48. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/3. Performing Hypothesis Testing in Python/1. Module Overview.mp42.04MB
  49. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/3. Performing Hypothesis Testing in Python/2. Demo - Preparing Data for Hypothesis Testing.mp416.08MB
  50. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/3. Performing Hypothesis Testing in Python/3. Demo - Performing the Independent t-test.mp412.84MB
  51. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/3. Performing Hypothesis Testing in Python/4. Demo - Performing Welchs t-test.mp413.18MB
  52. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/3. Performing Hypothesis Testing in Python/5. Demo - Performing the Paired Difference t-test.mp410.43MB
  53. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/3. Performing Hypothesis Testing in Python/6. Demo - One-way ANOVA and Tukeys Honest Significant Difference Test.mp410.59MB
  54. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/3. Performing Hypothesis Testing in Python/7. Demo - Two-way ANOVA.mp417.9MB
  55. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/3. Performing Hypothesis Testing in Python/8. Demo - Chi2 Analysis.mp415.05MB
  56. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/3. Performing Hypothesis Testing in Python/9. Module Summary.mp42.13MB
  57. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/4. Implementing Predictive Models for Continuous Data/01. Module Overview.mp41.78MB
  58. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/4. Implementing Predictive Models for Continuous Data/02. Introducing Linear Regression.mp45.36MB
  59. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/4. Implementing Predictive Models for Continuous Data/03. Minimizing Mean Square Error.mp44.82MB
  60. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/4. Implementing Predictive Models for Continuous Data/04. Multiple Regression and Adjusted R-square.mp46.95MB
  61. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/4. Implementing Predictive Models for Continuous Data/05. Demo - Preparing Data for Simple Linear Regression.mp412.14MB
  62. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/4. Implementing Predictive Models for Continuous Data/06. Demo - Linear Regression Using Analytical and Machine Learning Techniques.mp410.3MB
  63. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/4. Implementing Predictive Models for Continuous Data/07. Demo - Visualizing Correlations in Data.mp47.21MB
  64. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/4. Implementing Predictive Models for Continuous Data/08. Demo - Selecting Relevant Features for Multiple Regression Using Correlations.mp411.37MB
  65. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/4. Implementing Predictive Models for Continuous Data/09. Demo - Selecting Relevant Features for Multiple Regression Using Mutual Information.mp45.48MB
  66. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/4. Implementing Predictive Models for Continuous Data/10. Module Summary.mp41.86MB
  67. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/5. Implementing Predictive Models for Categorical Data/1. Module Overview.mp42.44MB
  68. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/5. Implementing Predictive Models for Categorical Data/2. The Intuition behind Logistic Regression.mp48.94MB
  69. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/5. Implementing Predictive Models for Categorical Data/3. Logistic Regression and Linear Regression.mp44.76MB
  70. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/5. Implementing Predictive Models for Categorical Data/4. Accuracy, Precision, and Recall.mp48.28MB
  71. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/5. Implementing Predictive Models for Categorical Data/5. Demo - Performing Classification Using Logistic Regression.mp412.81MB
  72. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/5. Implementing Predictive Models for Categorical Data/6. Demo - Selecting Features Using Chi2, ANOVA, and Mutual Information.mp414.07MB
  73. A2. Interpreting Data Using Statistical Models with Python (Janani Ravi, 2019)/5. Implementing Predictive Models for Categorical Data/7. Summary and Further Study.mp42.74MB
  74. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp43.23MB
  75. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/01. Version Check.mp4591.74KB
  76. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/02. Module Summary.mp42.06MB
  77. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/03. Prerequisites and Course Outline.mp41.53MB
  78. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/04. Introducing Descriptive Statistics.mp45.4MB
  79. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/05. Measures of Central Tendency.mp410.43MB
  80. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/06. Measures of Dispersion.mp46.72MB
  81. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/07. Understanding Variance.mp43.74MB
  82. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/08. The Gaussian Distribution.mp45.12MB
  83. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/09. Sampling Distribution to Estimate Population Mean.mp410.1MB
  84. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/10. Confidence Intervals.mp49.18MB
  85. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/11. Skewness and Kurtosis.mp46.72MB
  86. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/12. Covariance and Correlation.mp46.24MB
  87. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/2. Understanding Descriptive Statistics/13. Module Summary.mp41.82MB
  88. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/3. Working with Descriptive Statistics Using Pandas/01. Module Overview.mp43.23MB
  89. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/3. Working with Descriptive Statistics Using Pandas/02. Demo - Getting Started with Pandas.mp48.81MB
  90. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/3. Working with Descriptive Statistics Using Pandas/03. Demo - Mean and Median.mp412.29MB
  91. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/3. Working with Descriptive Statistics Using Pandas/04. Demo - Influence of Outliers on Mean and Median.mp48.75MB
  92. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/3. Working with Descriptive Statistics Using Pandas/05. Demo - Quantiles and the Interquartile Range.mp410.5MB
  93. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/3. Working with Descriptive Statistics Using Pandas/06. Demo - Variance and Standard Deviation.mp46.01MB
  94. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/3. Working with Descriptive Statistics Using Pandas/07. Demo - Interpreting and Visualizing Summary Statistics.mp410.68MB
  95. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/3. Working with Descriptive Statistics Using Pandas/08. Demo - Skewness and Kurtosis.mp49.04MB
  96. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/3. Working with Descriptive Statistics Using Pandas/09. Demo - Covariance and Correlation.mp412.53MB
  97. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/3. Working with Descriptive Statistics Using Pandas/10. Demo - Calculating and Visualizing Confidence Intervals.mp411.01MB
  98. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/3. Working with Descriptive Statistics Using Pandas/11. Module Summary.mp42.21MB
  99. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/4. Working with Descriptive Statistics Using SciPy and Statsmodels/1. Module Overview.mp43.24MB
  100. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/4. Working with Descriptive Statistics Using SciPy and Statsmodels/2. Demo - Mean and Median.mp410.94MB
  101. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/4. Working with Descriptive Statistics Using SciPy and Statsmodels/3. Demo - Influence of Outliers and Mode.mp46.23MB
  102. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/4. Working with Descriptive Statistics Using SciPy and Statsmodels/4. Demo - Interquartile Range Variance and St.mp412.48MB
  103. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/4. Working with Descriptive Statistics Using SciPy and Statsmodels/5. Demo - Z-scores Using SciPy.mp412.34MB
  104. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/4. Working with Descriptive Statistics Using SciPy and Statsmodels/6. Demo - Skewness and Kurtosis for Stock Ret.mp49.78MB
  105. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/4. Working with Descriptive Statistics Using SciPy and Statsmodels/7. Demo - Descriptive Statistics and Regressi.mp414.63MB
  106. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/4. Working with Descriptive Statistics Using SciPy and Statsmodels/8. Demo - Calculating and Interpreting Confid.mp45.4MB
  107. B1. Interpreting Data Using Descriptive Statistics with Python (Janani Ravi, 2019)/4. Working with Descriptive Statistics Using SciPy and Statsmodels/9. Summary and Further Study.mp42.56MB
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