Coursera - Data Analysis (2013)

磁力链接/BT种子名称

Coursera - Data Analysis (2013)

磁力链接/BT种子简介

种子哈希：1afe48dc792b2463b735b1df68729f5812719fd0
文件大小：949.06M
已经下载：4453次
下载速度：极快
收录时间：2017-02-24
最近下载：2025-08-31

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文件列表

  • video/018_4 - 8 - Data Munging Basics (3131).mp4 38.4 MB
  • video/036_7 - 4 - Model checking and selection (2624).mp4 32.9 MB
  • video/045_10 - 1 - Multiple testing (2449).mp4 30.0 MB
  • video/025_5 - 7 - Dimension Reduction (2124).mp4 28.3 MB
  • video/017_4 - 7 - Summarizing Data (2321).mp4 28.3 MB
  • video/043_9 - 3 - Bootstrapping for prediction (1946).mp4 28.2 MB
  • video/034_7 - 2 - Binary outcomes (2320).mp4 27.6 MB
  • video/037_8 - 1 - Prediction study design (2146).mp4 27.3 MB
  • video/021_5 - 3 - Exploratory Graphs Part 2 (2319).mp4 27.1 MB
  • video/014_4 - 4 - Getting Data (Part 1) (2148).mp4 26.9 MB
  • video/015_4 - 5 - Getting Data (Part 2) (2205).mp4 26.8 MB
  • video/028_6 - 3 - Inference Basics (2122).mp4 26.6 MB
  • video/042_9 - 2 - Bootstrap (1903).mp4 26.2 MB
  • video/041_9 - 1 - Smoothing (1911).mp4 26.1 MB
  • video/032_6 - 7 - Regression in the Real World (2026).mp4 25.5 MB
  • video/040_8 - 4 - Predicting with trees (1906).mp4 24.1 MB
  • video/006_3 - 4 - Representing Data (1842).mp4 23.9 MB
  • video/020_5 - 2 - Exploratory Graphs Part 1 (2027).mp4 22.9 MB
  • video/046_10 - 2 - Simulation for model checking (1816).mp4 22.8 MB
  • video/026_6 - 1 - Clustering Example (1829).mp4 22.7 MB
  • video/039_8 - 3 - Predicting with regression (1730).mp4 22.1 MB
  • video/030_6 - 5 - Regression with Factor Variables (1706).mp4 21.9 MB
  • video/023_5 - 5 - Hierarchical Clustering (1740).mp4 21.4 MB
  • video/012_4 - 2 - Structure of a Data Analysis (Part 2) (1659).mp4 20.7 MB
  • video/035_7 - 3 - Count outcomes (1629).mp4 20.1 MB
  • video/022_5 - 4 - Expository Graphs (1546).mp4 20.0 MB
  • video/029_6 - 4 - P-values (1539).mp4 19.6 MB
  • video/013_4 - 3 - Organizing a Data Analysis (1613).mp4 18.6 MB
  • video/044_9 - 4 - Combining predictors (1258).mp4 17.0 MB
  • video/038_8 - 2 - Cross-validation (1359).mp4 16.4 MB
  • video/007_3 - 5 - Representing Data in R (1318).mp4 16.1 MB
  • video/005_3 - 3 - What Is Data (1125).mp4 15.9 MB
  • video/004_3 - 2 - Getting Help (1224).mp4 15.8 MB
  • video/011_4 - 1 - Structure of a Data Analysis (Part 1) (1215).mp4 15.2 MB
  • video/033_7 - 1 - ANOVA with multiple factors (1243).mp4 15.1 MB
  • video/009_3 - 7 - Types of Data Analysis Questions (1054).mp4 14.7 MB
  • video/031_6 - 6 - Multiple Variable Regression (1053).mp4 14.4 MB
  • video/003_3 - 1 - Course Introduction (413).mp4 14.3 MB
  • video/027_6 - 2 - Basic Least Squares (1112).mp4 14.0 MB
  • video/019_5 - 1 - Example Analysis Assignment (747).mp4 13.3 MB
  • video/008_3 - 6 - Simulation Basics (957).mp4 12.5 MB
  • video/047_10 - 3 - Course wrap-up (842).mp4 11.1 MB
  • video/002_2 - 2 - Course Logistics (806).mp4 10.6 MB
  • video/024_5 - 6 - K-Means Clustering (836).mp4 9.9 MB
  • video/010_3 - 8 - Sources of Data Sets (734).mp4 9.1 MB
  • video/016_4 - 6 - Data Resources (730).mp4 8.9 MB
  • video/001_2 - 1 - The Landscape of Data Analysis (402).mp4 5.9 MB
  • slides/003_whatIsData.pdf 2.7 MB
  • slides/008_sourcesOfDataSets.pdf 2.6 MB
  • slides/014_dataResources.pdf 2.0 MB
  • slides/007_typesOfQuestions.pdf 1.9 MB
  • slides/009_structureOfADataAnalysis1.pdf 1.7 MB
  • slides/019_expositoryGraphs.pdf 1.6 MB
  • slides/034_predictionStudyDesign.pdf 1.4 MB
  • slides/012_gettingData1.pdf 1.3 MB
  • slides/036_predictingRegression.pdf 1.3 MB
  • slides/011_organizingADataAnalysis.pdf 1.2 MB
  • slides/029_realData.pdf 1.2 MB
  • slides/044_courseWrapUp.pdf 1.1 MB
  • slides/023_clusteringExample.pdf 890.4 kB
  • slides/002_gettingHelp.pdf 876.1 kB
  • slides/027_factorVariables.pdf 853.7 kB
  • slides/004_representingData.pdf 781.1 kB
  • slides/032_countOutcomes.pdf 776.0 kB
  • slides/042_multipleTesting.pdf 744.7 kB
  • slides/017_exploratoryGraphs1.pdf 726.5 kB
  • slides/020_hierarchicalClustering.pdf 694.3 kB
  • slides/018_exploratoryGraphs2.pdf 663.3 kB
  • slides/026_pValues.pdf 622.0 kB
  • slides/024_basicLeastSquares.pdf 611.4 kB
  • slides/039_bootstrap.pdf 572.5 kB
  • slides/031_binaryOutcomes.pdf 555.4 kB
  • slides/025_inferenceBasics.pdf 554.9 kB
  • slides/016_dataMungingBasics.pdf 529.4 kB
  • slides/038_smoothing.pdf 524.5 kB
  • slides/010_structureOfADataAnalysis2.pdf 490.5 kB
  • slides/030_multipleFactors.pdf 489.5 kB
  • slides/033_modelChecking.pdf 487.6 kB
  • slides/037_predictingTrees.pdf 485.3 kB
  • slides/022_dimensionReduction.pdf 445.1 kB
  • slides/015_summarizingData.pdf 443.2 kB
  • slides/028_multipleVariables.pdf 439.7 kB
  • slides/041_combiningPredictors.pdf 400.6 kB
  • slides/043_simulationForModelChecking.pdf 379.9 kB
  • slides/013_gettingData2.pdf 351.2 kB
  • slides/040_bootstrapPrediction.pdf 293.4 kB
  • slides/021_kmeansClustering.pdf 230.6 kB
  • slides/035_crossValidation.pdf 224.8 kB
  • slides/006_simulationBasics.pdf 188.0 kB
  • slides/005_representingDataR.pdf 105.0 kB
  • slides/001_courseLogistics.pdf 83.3 kB
  • subs/018_4 - 8 - Data Munging Basics (31_31).srt 45.6 kB
  • subs/036_7 - 4 - Model checking and selection (26_24).srt 42.8 kB
  • subs/034_7 - 2 - Binary outcomes (23_20).srt 35.3 kB
  • subs/017_4 - 7 - Summarizing Data (23_21).srt 35.0 kB
  • subs/037_8 - 1 - Prediction study design (21_46).srt 34.9 kB
  • subs/021_5 - 3 - Exploratory Graphs Part 2 (23_19).srt 34.1 kB
  • subs/015_4 - 5 - Getting Data (Part 2) (22_05).srt 32.7 kB
  • subs/014_4 - 4 - Getting Data (Part 1) (21_48).srt 32.5 kB
  • subs/020_5 - 2 - Exploratory Graphs Part 1 (20_27).srt 30.9 kB
  • subs/025_5 - 7 - Dimension Reduction (21_24).srt 30.5 kB
  • subs/032_6 - 7 - Regression in the Real World (20_26).srt 30.5 kB
  • subs/028_6 - 3 - Inference Basics (21_22).srt 30.1 kB
  • subs/040_8 - 4 - Predicting with trees (19_06).srt 28.7 kB
  • subs/026_6 - 1 - Clustering Example (18_29).srt 28.4 kB
  • subs/039_8 - 3 - Predicting with regression (17_30).srt 27.6 kB
  • subs/023_5 - 5 - Hierarchical Clustering (17_40).srt 27.4 kB
  • subs/041_9 - 1 - Smoothing (19_11).srt 26.6 kB
  • subs/043_9 - 3 - Bootstrapping for prediction (19_46).srt 26.2 kB
  • subs/035_7 - 3 - Count outcomes (16_29).srt 25.4 kB
  • subs/042_9 - 2 - Bootstrap (19_03).srt 25.1 kB
  • subs/013_4 - 3 - Organizing a Data Analysis (16_13).srt 25.0 kB
  • subs/012_4 - 2 - Structure of a Data Analysis (Part 2) (16_59).srt 24.9 kB
  • subs/006_3 - 4 - Representing Data (18_42).srt 24.8 kB
  • subs/030_6 - 5 - Regression with Factor Variables (17_06).srt 24.2 kB
  • subs/022_5 - 4 - Expository Graphs (15_46).srt 22.8 kB
  • subs/029_6 - 4 - P-values (15_39).srt 22.8 kB
  • subs/038_8 - 2 - Cross-validation (13_59).srt 22.4 kB
  • subs/004_3 - 2 - Getting Help (12_24).srt 21.3 kB
  • subs/033_7 - 1 - ANOVA with multiple factors (12_43).srt 19.4 kB
  • subs/011_4 - 1 - Structure of a Data Analysis (Part 1) (12_15).srt 18.2 kB
  • subs/044_9 - 4 - Combining predictors (12_58).srt 18.1 kB
  • subs/027_6 - 2 - Basic Least Squares (11_12).srt 17.7 kB
  • subs/007_3 - 5 - Representing Data in R (13_18).srt 16.9 kB
  • subs/031_6 - 6 - Multiple Variable Regression (10_53).srt 16.1 kB
  • subs/005_3 - 3 - What Is Data.srt 15.4 kB
  • subs/009_3 - 7 - Types of Data Analysis Questions (10_54).srt 15.4 kB
  • subs/008_3 - 6 - Simulation Basics (9_57).srt 13.2 kB
  • subs/024_5 - 6 - K-Means Clustering (8_36).srt 13.1 kB
  • subs/002_2 - 2 - Course Logistics (8_06).srt 11.8 kB
  • subs/010_3 - 8 - Sources of Data Sets (7_34).srt 11.4 kB
  • subs/016_4 - 6 - Data Resources (7_30).srt 11.3 kB
  • subs/019_5 - 1 - Example Analysis Assignment (7_47).srt 11.1 kB
  • subs/003_3 - 1 - Course Introduction (4_13).srt 6.4 kB
  • subs/001_2 - 1 - The Landscape of Data Analysis (4_02).srt 6.0 kB

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