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Coursera - Data Analysis (2013)

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  • 文件大小:949MB
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  • 最近下载:2021-01-16 11:58:14
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文件列表

  1. video/018_4 - 8 - Data Munging Basics (3131).mp4 37MB
  2. video/036_7 - 4 - Model checking and selection (2624).mp4 31MB
  3. video/045_10 - 1 - Multiple testing (2449).mp4 29MB
  4. video/025_5 - 7 - Dimension Reduction (2124).mp4 27MB
  5. video/017_4 - 7 - Summarizing Data (2321).mp4 27MB
  6. video/043_9 - 3 - Bootstrapping for prediction (1946).mp4 27MB
  7. video/034_7 - 2 - Binary outcomes (2320).mp4 26MB
  8. video/037_8 - 1 - Prediction study design (2146).mp4 26MB
  9. video/021_5 - 3 - Exploratory Graphs Part 2 (2319).mp4 26MB
  10. video/014_4 - 4 - Getting Data (Part 1) (2148).mp4 26MB
  11. video/015_4 - 5 - Getting Data (Part 2) (2205).mp4 26MB
  12. video/028_6 - 3 - Inference Basics (2122).mp4 25MB
  13. video/042_9 - 2 - Bootstrap (1903).mp4 25MB
  14. video/041_9 - 1 - Smoothing (1911).mp4 25MB
  15. video/032_6 - 7 - Regression in the Real World (2026).mp4 24MB
  16. video/040_8 - 4 - Predicting with trees (1906).mp4 23MB
  17. video/006_3 - 4 - Representing Data (1842).mp4 23MB
  18. video/020_5 - 2 - Exploratory Graphs Part 1 (2027).mp4 22MB
  19. video/046_10 - 2 - Simulation for model checking (1816).mp4 22MB
  20. video/026_6 - 1 - Clustering Example (1829).mp4 22MB
  21. video/039_8 - 3 - Predicting with regression (1730).mp4 21MB
  22. video/030_6 - 5 - Regression with Factor Variables (1706).mp4 21MB
  23. video/023_5 - 5 - Hierarchical Clustering (1740).mp4 20MB
  24. video/012_4 - 2 - Structure of a Data Analysis (Part 2) (1659).mp4 20MB
  25. video/035_7 - 3 - Count outcomes (1629).mp4 19MB
  26. video/022_5 - 4 - Expository Graphs (1546).mp4 19MB
  27. video/029_6 - 4 - P-values (1539).mp4 19MB
  28. video/013_4 - 3 - Organizing a Data Analysis (1613).mp4 18MB
  29. video/044_9 - 4 - Combining predictors (1258).mp4 16MB
  30. video/038_8 - 2 - Cross-validation (1359).mp4 16MB
  31. video/007_3 - 5 - Representing Data in R (1318).mp4 15MB
  32. video/005_3 - 3 - What Is Data (1125).mp4 15MB
  33. video/004_3 - 2 - Getting Help (1224).mp4 15MB
  34. video/011_4 - 1 - Structure of a Data Analysis (Part 1) (1215).mp4 15MB
  35. video/033_7 - 1 - ANOVA with multiple factors (1243).mp4 14MB
  36. video/009_3 - 7 - Types of Data Analysis Questions (1054).mp4 14MB
  37. video/031_6 - 6 - Multiple Variable Regression (1053).mp4 14MB
  38. video/003_3 - 1 - Course Introduction (413).mp4 14MB
  39. video/027_6 - 2 - Basic Least Squares (1112).mp4 13MB
  40. video/019_5 - 1 - Example Analysis Assignment (747).mp4 13MB
  41. video/008_3 - 6 - Simulation Basics (957).mp4 12MB
  42. video/047_10 - 3 - Course wrap-up (842).mp4 11MB
  43. video/002_2 - 2 - Course Logistics (806).mp4 10MB
  44. video/024_5 - 6 - K-Means Clustering (836).mp4 9MB
  45. video/010_3 - 8 - Sources of Data Sets (734).mp4 9MB
  46. video/016_4 - 6 - Data Resources (730).mp4 8MB
  47. video/001_2 - 1 - The Landscape of Data Analysis (402).mp4 6MB
  48. slides/003_whatIsData.pdf 3MB
  49. slides/008_sourcesOfDataSets.pdf 3MB
  50. slides/014_dataResources.pdf 2MB
  51. slides/007_typesOfQuestions.pdf 2MB
  52. slides/009_structureOfADataAnalysis1.pdf 2MB
  53. slides/019_expositoryGraphs.pdf 2MB
  54. slides/034_predictionStudyDesign.pdf 1MB
  55. slides/012_gettingData1.pdf 1MB
  56. slides/036_predictingRegression.pdf 1MB
  57. slides/011_organizingADataAnalysis.pdf 1MB
  58. slides/029_realData.pdf 1MB
  59. slides/044_courseWrapUp.pdf 1MB
  60. slides/023_clusteringExample.pdf 870KB
  61. slides/002_gettingHelp.pdf 856KB
  62. slides/027_factorVariables.pdf 834KB
  63. slides/004_representingData.pdf 763KB
  64. slides/032_countOutcomes.pdf 758KB
  65. slides/042_multipleTesting.pdf 727KB
  66. slides/017_exploratoryGraphs1.pdf 709KB
  67. slides/020_hierarchicalClustering.pdf 678KB
  68. slides/018_exploratoryGraphs2.pdf 648KB
  69. slides/026_pValues.pdf 607KB
  70. slides/024_basicLeastSquares.pdf 597KB
  71. slides/039_bootstrap.pdf 559KB
  72. slides/031_binaryOutcomes.pdf 542KB
  73. slides/025_inferenceBasics.pdf 542KB
  74. slides/016_dataMungingBasics.pdf 517KB
  75. slides/038_smoothing.pdf 512KB
  76. slides/010_structureOfADataAnalysis2.pdf 479KB
  77. slides/030_multipleFactors.pdf 478KB
  78. slides/033_modelChecking.pdf 476KB
  79. slides/037_predictingTrees.pdf 474KB
  80. slides/022_dimensionReduction.pdf 435KB
  81. slides/015_summarizingData.pdf 433KB
  82. slides/028_multipleVariables.pdf 429KB
  83. slides/041_combiningPredictors.pdf 391KB
  84. slides/043_simulationForModelChecking.pdf 371KB
  85. slides/013_gettingData2.pdf 343KB
  86. slides/040_bootstrapPrediction.pdf 286KB
  87. slides/021_kmeansClustering.pdf 225KB
  88. slides/035_crossValidation.pdf 220KB
  89. slides/006_simulationBasics.pdf 184KB
  90. slides/005_representingDataR.pdf 103KB
  91. slides/001_courseLogistics.pdf 81KB
  92. subs/018_4 - 8 - Data Munging Basics (31_31).srt 45KB
  93. subs/036_7 - 4 - Model checking and selection (26_24).srt 42KB
  94. subs/034_7 - 2 - Binary outcomes (23_20).srt 35KB
  95. subs/017_4 - 7 - Summarizing Data (23_21).srt 34KB
  96. subs/037_8 - 1 - Prediction study design (21_46).srt 34KB
  97. subs/021_5 - 3 - Exploratory Graphs Part 2 (23_19).srt 33KB
  98. subs/015_4 - 5 - Getting Data (Part 2) (22_05).srt 32KB
  99. subs/014_4 - 4 - Getting Data (Part 1) (21_48).srt 32KB
  100. subs/020_5 - 2 - Exploratory Graphs Part 1 (20_27).srt 30KB
  101. subs/025_5 - 7 - Dimension Reduction (21_24).srt 30KB
  102. subs/032_6 - 7 - Regression in the Real World (20_26).srt 30KB
  103. subs/028_6 - 3 - Inference Basics (21_22).srt 29KB
  104. subs/040_8 - 4 - Predicting with trees (19_06).srt 28KB
  105. subs/026_6 - 1 - Clustering Example (18_29).srt 28KB
  106. subs/039_8 - 3 - Predicting with regression (17_30).srt 27KB
  107. subs/023_5 - 5 - Hierarchical Clustering (17_40).srt 27KB
  108. subs/041_9 - 1 - Smoothing (19_11).srt 26KB
  109. subs/043_9 - 3 - Bootstrapping for prediction (19_46).srt 26KB
  110. subs/035_7 - 3 - Count outcomes (16_29).srt 25KB
  111. subs/042_9 - 2 - Bootstrap (19_03).srt 25KB
  112. subs/013_4 - 3 - Organizing a Data Analysis (16_13).srt 24KB
  113. subs/012_4 - 2 - Structure of a Data Analysis (Part 2) (16_59).srt 24KB
  114. subs/006_3 - 4 - Representing Data (18_42).srt 24KB
  115. subs/030_6 - 5 - Regression with Factor Variables (17_06).srt 24KB
  116. subs/022_5 - 4 - Expository Graphs (15_46).srt 22KB
  117. subs/029_6 - 4 - P-values (15_39).srt 22KB
  118. subs/038_8 - 2 - Cross-validation (13_59).srt 22KB
  119. subs/004_3 - 2 - Getting Help (12_24).srt 21KB
  120. subs/033_7 - 1 - ANOVA with multiple factors (12_43).srt 19KB
  121. subs/011_4 - 1 - Structure of a Data Analysis (Part 1) (12_15).srt 18KB
  122. subs/044_9 - 4 - Combining predictors (12_58).srt 18KB
  123. subs/027_6 - 2 - Basic Least Squares (11_12).srt 17KB
  124. subs/007_3 - 5 - Representing Data in R (13_18).srt 17KB
  125. subs/031_6 - 6 - Multiple Variable Regression (10_53).srt 16KB
  126. subs/005_3 - 3 - What Is Data.srt 15KB
  127. subs/009_3 - 7 - Types of Data Analysis Questions (10_54).srt 15KB
  128. subs/008_3 - 6 - Simulation Basics (9_57).srt 13KB
  129. subs/024_5 - 6 - K-Means Clustering (8_36).srt 13KB
  130. subs/002_2 - 2 - Course Logistics (8_06).srt 12KB
  131. subs/010_3 - 8 - Sources of Data Sets (7_34).srt 11KB
  132. subs/016_4 - 6 - Data Resources (7_30).srt 11KB
  133. subs/019_5 - 1 - Example Analysis Assignment (7_47).srt 11KB
  134. subs/003_3 - 1 - Course Introduction (4_13).srt 6KB
  135. subs/001_2 - 1 - The Landscape of Data Analysis (4_02).srt 6KB