Name Coursera - Data Analysis (2013)

File Type video

Size 949.06MB

UpdateDate 2024-12-19

hash *****8DC792B2463B735B1DF68729F5812719FD

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Files video/018_4 - 8 - Data Munging Basics (3131).mp4 | 36.58MB video/036_7 - 4 - Model checking and selection (2624).mp4 | 31.40MB video/045_10 - 1 - Multiple testing (2449).mp4 | 28.60MB video/025_5 - 7 - Dimension Reduction (2124).mp4 | 27.03MB video/017_4 - 7 - Summarizing Data (2321).mp4 | 27.02MB video/043_9 - 3 - Bootstrapping for prediction (1946).mp4 | 26.94MB video/034_7 - 2 - Binary outcomes (2320).mp4 | 26.29MB video/037_8 - 1 - Prediction study design (2146).mp4 | 26.01MB video/021_5 - 3 - Exploratory Graphs Part 2 (2319).mp4 | 25.81MB video/014_4 - 4 - Getting Data (Part 1) (2148).mp4 | 25.66MB video/015_4 - 5 - Getting Data (Part 2) (2205).mp4 | 25.57MB video/028_6 - 3 - Inference Basics (2122).mp4 | 25.40MB video/042_9 - 2 - Bootstrap (1903).mp4 | 25.01MB video/041_9 - 1 - Smoothing (1911).mp4 | 24.89MB video/032_6 - 7 - Regression in the Real World (2026).mp4 | 24.36MB video/040_8 - 4 - Predicting with trees (1906).mp4 | 22.99MB video/006_3 - 4 - Representing Data (1842).mp4 | 22.80MB video/020_5 - 2 - Exploratory Graphs Part 1 (2027).mp4 | 21.87MB video/046_10 - 2 - Simulation for model checking (1816).mp4 | 21.71MB video/026_6 - 1 - Clustering Example (1829).mp4 | 21.68MB video/039_8 - 3 - Predicting with regression (1730).mp4 | 21.05MB video/030_6 - 5 - Regression with Factor Variables (1706).mp4 | 20.85MB video/023_5 - 5 - Hierarchical Clustering (1740).mp4 | 20.42MB video/012_4 - 2 - Structure of a Data Analysis (Part 2) (1659).mp4 | 19.74MB video/035_7 - 3 - Count outcomes (1629).mp4 | 19.14MB video/022_5 - 4 - Expository Graphs (1546).mp4 | 19.03MB video/029_6 - 4 - P-values (1539).mp4 | 18.69MB video/013_4 - 3 - Organizing a Data Analysis (1613).mp4 | 17.79MB video/044_9 - 4 - Combining predictors (1258).mp4 | 16.24MB video/038_8 - 2 - Cross-validation (1359).mp4 | 15.62MB video/007_3 - 5 - Representing Data in R (1318).mp4 | 15.38MB video/005_3 - 3 - What Is Data (1125).mp4 | 15.21MB video/004_3 - 2 - Getting Help (1224).mp4 | 15.03MB video/011_4 - 1 - Structure of a Data Analysis (Part 1) (1215).mp4 | 14.52MB video/033_7 - 1 - ANOVA with multiple factors (1243).mp4 | 14.40MB video/009_3 - 7 - Types of Data Analysis Questions (1054).mp4 | 14.02MB video/031_6 - 6 - Multiple Variable Regression (1053).mp4 | 13.77MB video/003_3 - 1 - Course Introduction (413).mp4 | 13.67MB video/027_6 - 2 - Basic Least Squares (1112).mp4 | 13.37MB video/019_5 - 1 - Example Analysis Assignment (747).mp4 | 12.70MB video/008_3 - 6 - Simulation Basics (957).mp4 | 11.92MB video/047_10 - 3 - Course wrap-up (842).mp4 | 10.61MB video/002_2 - 2 - Course Logistics (806).mp4 | 10.08MB video/024_5 - 6 - K-Means Clustering (836).mp4 | 9.45MB video/010_3 - 8 - Sources of Data Sets (734).mp4 | 8.69MB video/016_4 - 6 - Data Resources (730).mp4 | 8.44MB video/001_2 - 1 - The Landscape of Data Analysis (402).mp4 | 5.67MB slides/003_whatIsData.pdf | 2.59MB slides/008_sourcesOfDataSets.pdf | 2.50MB slides/014_dataResources.pdf | 1.93MB slides/007_typesOfQuestions.pdf | 1.85MB slides/009_structureOfADataAnalysis1.pdf | 1.61MB slides/019_expositoryGraphs.pdf | 1.55MB slides/034_predictionStudyDesign.pdf | 1.29MB slides/012_gettingData1.pdf | 1.27MB slides/036_predictingRegression.pdf | 1.25MB slides/011_organizingADataAnalysis.pdf | 1.14MB slides/029_realData.pdf | 1.14MB slides/044_courseWrapUp.pdf | 1.09MB slides/023_clusteringExample.pdf | 869.57KB slides/002_gettingHelp.pdf | 855.57KB slides/027_factorVariables.pdf | 833.68KB slides/004_representingData.pdf | 762.82KB slides/032_countOutcomes.pdf | 757.81KB slides/042_multipleTesting.pdf | 727.26KB slides/017_exploratoryGraphs1.pdf | 709.44KB slides/020_hierarchicalClustering.pdf | 678.01KB slides/018_exploratoryGraphs2.pdf | 647.79KB slides/026_pValues.pdf | 607.44KB slides/024_basicLeastSquares.pdf | 597.11KB slides/039_bootstrap.pdf | 559.10KB slides/031_binaryOutcomes.pdf | 542.33KB slides/025_inferenceBasics.pdf | 541.88KB slides/016_dataMungingBasics.pdf | 516.99KB slides/038_smoothing.pdf | 512.20KB slides/010_structureOfADataAnalysis2.pdf | 479.01KB slides/030_multipleFactors.pdf | 478.02KB slides/033_modelChecking.pdf | 476.21KB slides/037_predictingTrees.pdf | 473.89KB slides/022_dimensionReduction.pdf | 434.69KB slides/015_summarizingData.pdf | 432.80KB slides/028_multipleVariables.pdf | 429.40KB slides/041_combiningPredictors.pdf | 391.20KB slides/043_simulationForModelChecking.pdf | 370.96KB slides/013_gettingData2.pdf | 342.95KB slides/040_bootstrapPrediction.pdf | 286.48KB slides/021_kmeansClustering.pdf | 225.15KB slides/035_crossValidation.pdf | 219.53KB slides/006_simulationBasics.pdf | 183.60KB slides/005_representingDataR.pdf | 102.53KB slides/001_courseLogistics.pdf | 81.36KB subs/018_4 - 8 - Data Munging Basics (31_31).srt | 44.54KB subs/036_7 - 4 - Model checking and selection (26_24).srt | 41.81KB subs/034_7 - 2 - Binary outcomes (23_20).srt | 34.51KB subs/017_4 - 7 - Summarizing Data (23_21).srt | 34.21KB subs/037_8 - 1 - Prediction study design (21_46).srt | 34.11KB subs/021_5 - 3 - Exploratory Graphs Part 2 (23_19).srt | 33.29KB subs/015_4 - 5 - Getting Data (Part 2) (22_05).srt | 31.95KB subs/014_4 - 4 - Getting Data (Part 1) (21_48).srt | 31.71KB subs/020_5 - 2 - Exploratory Graphs Part 1 (20_27).srt | 30.21KB subs/025_5 - 7 - Dimension Reduction (21_24).srt | 29.80KB subs/032_6 - 7 - Regression in the Real World (20_26).srt | 29.80KB subs/028_6 - 3 - Inference Basics (21_22).srt | 29.37KB subs/040_8 - 4 - Predicting with trees (19_06).srt | 28.05KB subs/026_6 - 1 - Clustering Example (18_29).srt | 27.69KB subs/039_8 - 3 - Predicting with regression (17_30).srt | 26.94KB subs/023_5 - 5 - Hierarchical Clustering (17_40).srt | 26.74KB subs/041_9 - 1 - Smoothing (19_11).srt | 26.01KB subs/043_9 - 3 - Bootstrapping for prediction (19_46).srt | 25.54KB subs/035_7 - 3 - Count outcomes (16_29).srt | 24.79KB subs/042_9 - 2 - Bootstrap (19_03).srt | 24.55KB subs/013_4 - 3 - Organizing a Data Analysis (16_13).srt | 24.46KB subs/012_4 - 2 - Structure of a Data Analysis (Part 2) (16_59).srt | 24.30KB subs/006_3 - 4 - Representing Data (18_42).srt | 24.24KB subs/030_6 - 5 - Regression with Factor Variables (17_06).srt | 23.65KB subs/022_5 - 4 - Expository Graphs (15_46).srt | 22.30KB subs/029_6 - 4 - P-values (15_39).srt | 22.22KB subs/038_8 - 2 - Cross-validation (13_59).srt | 21.92KB subs/004_3 - 2 - Getting Help (12_24).srt | 20.79KB subs/033_7 - 1 - ANOVA with multiple factors (12_43).srt | 18.93KB subs/011_4 - 1 - Structure of a Data Analysis (Part 1) (12_15).srt | 17.73KB subs/044_9 - 4 - Combining predictors (12_58).srt | 17.70KB subs/027_6 - 2 - Basic Least Squares (11_12).srt | 17.28KB subs/007_3 - 5 - Representing Data in R (13_18).srt | 16.52KB subs/031_6 - 6 - Multiple Variable Regression (10_53).srt | 15.73KB subs/005_3 - 3 - What Is Data.srt | 15.00KB subs/009_3 - 7 - Types of Data Analysis Questions (10_54).srt | 14.99KB subs/008_3 - 6 - Simulation Basics (9_57).srt | 12.90KB subs/024_5 - 6 - K-Means Clustering (8_36).srt | 12.76KB subs/002_2 - 2 - Course Logistics (8_06).srt | 11.54KB subs/010_3 - 8 - Sources of Data Sets (7_34).srt | 11.17KB subs/016_4 - 6 - Data Resources (7_30).srt | 11.01KB subs/019_5 - 1 - Example Analysis Assignment (7_47).srt | 10.83KB subs/003_3 - 1 - Course Introduction (4_13).srt | 6.20KB subs/001_2 - 1 - The Landscape of Data Analysis (4_02).srt | 5.83KB