Coursera - Data Analysis (2013)

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  • video/018_4 - 8 - Data Munging Basics (3131).mp4 36.58 MB
    video/036_7 - 4 - Model checking and selection (2624).mp4 31.4 MB
    video/045_10 - 1 - Multiple testing (2449).mp4 28.6 MB
    video/025_5 - 7 - Dimension Reduction (2124).mp4 27.03 MB
    video/017_4 - 7 - Summarizing Data (2321).mp4 27.02 MB
    video/043_9 - 3 - Bootstrapping for prediction (1946).mp4 26.94 MB
    video/034_7 - 2 - Binary outcomes (2320).mp4 26.29 MB
    video/037_8 - 1 - Prediction study design (2146).mp4 26.01 MB
    video/021_5 - 3 - Exploratory Graphs Part 2 (2319).mp4 25.81 MB
    video/014_4 - 4 - Getting Data (Part 1) (2148).mp4 25.66 MB
    video/015_4 - 5 - Getting Data (Part 2) (2205).mp4 25.57 MB
    video/028_6 - 3 - Inference Basics (2122).mp4 25.4 MB
    video/042_9 - 2 - Bootstrap (1903).mp4 25.01 MB
    video/041_9 - 1 - Smoothing (1911).mp4 24.89 MB
    video/032_6 - 7 - Regression in the Real World (2026).mp4 24.36 MB
    video/040_8 - 4 - Predicting with trees (1906).mp4 22.99 MB
    video/006_3 - 4 - Representing Data (1842).mp4 22.8 MB
    video/020_5 - 2 - Exploratory Graphs Part 1 (2027).mp4 21.87 MB
    video/046_10 - 2 - Simulation for model checking (1816).mp4 21.71 MB
    video/026_6 - 1 - Clustering Example (1829).mp4 21.68 MB
    video/039_8 - 3 - Predicting with regression (1730).mp4 21.05 MB
    video/030_6 - 5 - Regression with Factor Variables (1706).mp4 20.85 MB
    video/023_5 - 5 - Hierarchical Clustering (1740).mp4 20.42 MB
    video/012_4 - 2 - Structure of a Data Analysis (Part 2) (1659).mp4 19.74 MB
    video/035_7 - 3 - Count outcomes (1629).mp4 19.14 MB
    video/022_5 - 4 - Expository Graphs (1546).mp4 19.03 MB
    video/029_6 - 4 - P-values (1539).mp4 18.69 MB
    video/013_4 - 3 - Organizing a Data Analysis (1613).mp4 17.79 MB
    video/044_9 - 4 - Combining predictors (1258).mp4 16.24 MB
    video/038_8 - 2 - Cross-validation (1359).mp4 15.62 MB
    video/007_3 - 5 - Representing Data in R (1318).mp4 15.38 MB
    video/005_3 - 3 - What Is Data (1125).mp4 15.21 MB
    video/004_3 - 2 - Getting Help (1224).mp4 15.03 MB
    video/011_4 - 1 - Structure of a Data Analysis (Part 1) (1215).mp4 14.52 MB
    video/033_7 - 1 - ANOVA with multiple factors (1243).mp4 14.4 MB
    video/009_3 - 7 - Types of Data Analysis Questions (1054).mp4 14.02 MB
    video/031_6 - 6 - Multiple Variable Regression (1053).mp4 13.77 MB
    video/003_3 - 1 - Course Introduction (413).mp4 13.67 MB
    video/027_6 - 2 - Basic Least Squares (1112).mp4 13.37 MB
    video/019_5 - 1 - Example Analysis Assignment (747).mp4 12.7 MB
    video/008_3 - 6 - Simulation Basics (957).mp4 11.92 MB
    video/047_10 - 3 - Course wrap-up (842).mp4 10.61 MB
    video/002_2 - 2 - Course Logistics (806).mp4 10.08 MB
    video/024_5 - 6 - K-Means Clustering (836).mp4 9.45 MB
    video/010_3 - 8 - Sources of Data Sets (734).mp4 8.69 MB
    video/016_4 - 6 - Data Resources (730).mp4 8.44 MB
    video/001_2 - 1 - The Landscape of Data Analysis (402).mp4 5.67 MB
    slides/003_whatIsData.pdf 2.59 MB
    slides/008_sourcesOfDataSets.pdf 2.5 MB
    slides/014_dataResources.pdf 1.93 MB
    slides/007_typesOfQuestions.pdf 1.85 MB
    slides/009_structureOfADataAnalysis1.pdf 1.61 MB
    slides/019_expositoryGraphs.pdf 1.55 MB
    slides/034_predictionStudyDesign.pdf 1.29 MB
    slides/012_gettingData1.pdf 1.27 MB
    slides/036_predictingRegression.pdf 1.25 MB
    slides/011_organizingADataAnalysis.pdf 1.14 MB
    slides/029_realData.pdf 1.14 MB
    slides/044_courseWrapUp.pdf 1.09 MB
    slides/023_clusteringExample.pdf 869.57 KB
    slides/002_gettingHelp.pdf 855.57 KB
    slides/027_factorVariables.pdf 833.68 KB
    slides/004_representingData.pdf 762.82 KB
    slides/032_countOutcomes.pdf 757.81 KB
    slides/042_multipleTesting.pdf 727.26 KB
    slides/017_exploratoryGraphs1.pdf 709.44 KB
    slides/020_hierarchicalClustering.pdf 678.01 KB
    slides/018_exploratoryGraphs2.pdf 647.79 KB
    slides/026_pValues.pdf 607.44 KB
    slides/024_basicLeastSquares.pdf 597.11 KB
    slides/039_bootstrap.pdf 559.1 KB
    slides/031_binaryOutcomes.pdf 542.33 KB
    slides/025_inferenceBasics.pdf 541.88 KB
    slides/016_dataMungingBasics.pdf 516.99 KB
    slides/038_smoothing.pdf 512.2 KB
    slides/010_structureOfADataAnalysis2.pdf 479.01 KB
    slides/030_multipleFactors.pdf 478.02 KB
    slides/033_modelChecking.pdf 476.21 KB
    slides/037_predictingTrees.pdf 473.89 KB
    slides/022_dimensionReduction.pdf 434.69 KB
    slides/015_summarizingData.pdf 432.8 KB
    slides/028_multipleVariables.pdf 429.4 KB
    slides/041_combiningPredictors.pdf 391.2 KB
    slides/043_simulationForModelChecking.pdf 370.96 KB
    slides/013_gettingData2.pdf 342.95 KB
    slides/040_bootstrapPrediction.pdf 286.48 KB
    slides/021_kmeansClustering.pdf 225.15 KB
    slides/035_crossValidation.pdf 219.53 KB
    slides/006_simulationBasics.pdf 183.6 KB
    slides/005_representingDataR.pdf 102.53 KB
    slides/001_courseLogistics.pdf 81.36 KB
    subs/018_4 - 8 - Data Munging Basics (31_31).srt 44.54 KB
    subs/036_7 - 4 - Model checking and selection (26_24).srt 41.81 KB
    subs/034_7 - 2 - Binary outcomes (23_20).srt 34.51 KB
    subs/017_4 - 7 - Summarizing Data (23_21).srt 34.21 KB
    subs/037_8 - 1 - Prediction study design (21_46).srt 34.11 KB
    subs/021_5 - 3 - Exploratory Graphs Part 2 (23_19).srt 33.29 KB
    subs/015_4 - 5 - Getting Data (Part 2) (22_05).srt 31.95 KB
    subs/014_4 - 4 - Getting Data (Part 1) (21_48).srt 31.71 KB
    subs/020_5 - 2 - Exploratory Graphs Part 1 (20_27).srt 30.21 KB
    subs/025_5 - 7 - Dimension Reduction (21_24).srt 29.8 KB
    subs/032_6 - 7 - Regression in the Real World (20_26).srt 29.8 KB
    subs/028_6 - 3 - Inference Basics (21_22).srt 29.37 KB
    subs/040_8 - 4 - Predicting with trees (19_06).srt 28.05 KB
    subs/026_6 - 1 - Clustering Example (18_29).srt 27.69 KB
    subs/039_8 - 3 - Predicting with regression (17_30).srt 26.94 KB
    subs/023_5 - 5 - Hierarchical Clustering (17_40).srt 26.74 KB
    subs/041_9 - 1 - Smoothing (19_11).srt 26.01 KB
    subs/043_9 - 3 - Bootstrapping for prediction (19_46).srt 25.54 KB
    subs/035_7 - 3 - Count outcomes (16_29).srt 24.79 KB
    subs/042_9 - 2 - Bootstrap (19_03).srt 24.55 KB
    subs/013_4 - 3 - Organizing a Data Analysis (16_13).srt 24.46 KB
    subs/012_4 - 2 - Structure of a Data Analysis (Part 2) (16_59).srt 24.3 KB
    subs/006_3 - 4 - Representing Data (18_42).srt 24.24 KB
    subs/030_6 - 5 - Regression with Factor Variables (17_06).srt 23.65 KB
    subs/022_5 - 4 - Expository Graphs (15_46).srt 22.3 KB
    subs/029_6 - 4 - P-values (15_39).srt 22.22 KB
    subs/038_8 - 2 - Cross-validation (13_59).srt 21.92 KB
    subs/004_3 - 2 - Getting Help (12_24).srt 20.79 KB
    subs/033_7 - 1 - ANOVA with multiple factors (12_43).srt 18.93 KB
    subs/011_4 - 1 - Structure of a Data Analysis (Part 1) (12_15).srt 17.73 KB
    subs/044_9 - 4 - Combining predictors (12_58).srt 17.7 KB
    subs/027_6 - 2 - Basic Least Squares (11_12).srt 17.28 KB
    subs/007_3 - 5 - Representing Data in R (13_18).srt 16.52 KB
    subs/031_6 - 6 - Multiple Variable Regression (10_53).srt 15.73 KB
    subs/005_3 - 3 - What Is Data.srt 15 KB
    subs/009_3 - 7 - Types of Data Analysis Questions (10_54).srt 14.99 KB
    subs/008_3 - 6 - Simulation Basics (9_57).srt 12.9 KB
    subs/024_5 - 6 - K-Means Clustering (8_36).srt 12.76 KB
    subs/002_2 - 2 - Course Logistics (8_06).srt 11.54 KB
    subs/010_3 - 8 - Sources of Data Sets (7_34).srt 11.17 KB
    subs/016_4 - 6 - Data Resources (7_30).srt 11.01 KB
    subs/019_5 - 1 - Example Analysis Assignment (7_47).srt 10.83 KB
    subs/003_3 - 1 - Course Introduction (4_13).srt 6.2 KB
    subs/001_2 - 1 - The Landscape of Data Analysis (4_02).srt 5.83 KB

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