TorBT - Torrents and Magnet Links Search Engine
Coursera - Data Analysis (2013)
- Date: 2026-03-18
- Size: 949 MB
- Files: 135
File Name
Size
video/018_4 - 8 - Data Munging Basics (3131).mp4
37 MB
video/036_7 - 4 - Model checking and selection (2624).mp4
31 MB
video/045_10 - 1 - Multiple testing (2449).mp4
29 MB
video/025_5 - 7 - Dimension Reduction (2124).mp4
27 MB
video/017_4 - 7 - Summarizing Data (2321).mp4
27 MB
video/043_9 - 3 - Bootstrapping for prediction (1946).mp4
27 MB
video/034_7 - 2 - Binary outcomes (2320).mp4
26 MB
video/037_8 - 1 - Prediction study design (2146).mp4
26 MB
video/021_5 - 3 - Exploratory Graphs Part 2 (2319).mp4
26 MB
video/014_4 - 4 - Getting Data (Part 1) (2148).mp4
26 MB
video/015_4 - 5 - Getting Data (Part 2) (2205).mp4
26 MB
video/028_6 - 3 - Inference Basics (2122).mp4
25 MB
video/042_9 - 2 - Bootstrap (1903).mp4
25 MB
video/041_9 - 1 - Smoothing (1911).mp4
25 MB
video/032_6 - 7 - Regression in the Real World (2026).mp4
24 MB
video/040_8 - 4 - Predicting with trees (1906).mp4
23 MB
video/006_3 - 4 - Representing Data (1842).mp4
23 MB
video/020_5 - 2 - Exploratory Graphs Part 1 (2027).mp4
22 MB
video/046_10 - 2 - Simulation for model checking (1816).mp4
22 MB
video/026_6 - 1 - Clustering Example (1829).mp4
22 MB
video/039_8 - 3 - Predicting with regression (1730).mp4
21 MB
video/030_6 - 5 - Regression with Factor Variables (1706).mp4
21 MB
video/023_5 - 5 - Hierarchical Clustering (1740).mp4
20 MB
video/012_4 - 2 - Structure of a Data Analysis (Part 2) (1659).mp4
20 MB
video/035_7 - 3 - Count outcomes (1629).mp4
19 MB
video/022_5 - 4 - Expository Graphs (1546).mp4
19 MB
video/029_6 - 4 - P-values (1539).mp4
19 MB
video/013_4 - 3 - Organizing a Data Analysis (1613).mp4
18 MB
video/044_9 - 4 - Combining predictors (1258).mp4
16 MB
video/038_8 - 2 - Cross-validation (1359).mp4
16 MB
video/007_3 - 5 - Representing Data in R (1318).mp4
15 MB
video/005_3 - 3 - What Is Data (1125).mp4
15 MB
video/004_3 - 2 - Getting Help (1224).mp4
15 MB
video/011_4 - 1 - Structure of a Data Analysis (Part 1) (1215).mp4
14 MB
video/033_7 - 1 - ANOVA with multiple factors (1243).mp4
14 MB
video/009_3 - 7 - Types of Data Analysis Questions (1054).mp4
14 MB
video/031_6 - 6 - Multiple Variable Regression (1053).mp4
14 MB
video/003_3 - 1 - Course Introduction (413).mp4
14 MB
video/027_6 - 2 - Basic Least Squares (1112).mp4
13 MB
video/019_5 - 1 - Example Analysis Assignment (747).mp4
13 MB
video/008_3 - 6 - Simulation Basics (957).mp4
12 MB
video/047_10 - 3 - Course wrap-up (842).mp4
11 MB
video/002_2 - 2 - Course Logistics (806).mp4
10 MB
video/024_5 - 6 - K-Means Clustering (836).mp4
9.4 MB
video/010_3 - 8 - Sources of Data Sets (734).mp4
8.7 MB
video/016_4 - 6 - Data Resources (730).mp4
8.4 MB
video/001_2 - 1 - The Landscape of Data Analysis (402).mp4
5.7 MB
slides/003_whatIsData.pdf
2.6 MB
slides/008_sourcesOfDataSets.pdf
2.5 MB
slides/014_dataResources.pdf
1.9 MB
slides/007_typesOfQuestions.pdf
1.8 MB
slides/009_structureOfADataAnalysis1.pdf
1.6 MB
slides/019_expositoryGraphs.pdf
1.6 MB
slides/034_predictionStudyDesign.pdf
1.3 MB
slides/012_gettingData1.pdf
1.3 MB
slides/036_predictingRegression.pdf
1.3 MB
slides/011_organizingADataAnalysis.pdf
1.1 MB
slides/029_realData.pdf
1.1 MB
slides/044_courseWrapUp.pdf
1.1 MB
slides/023_clusteringExample.pdf
870 kB
slides/002_gettingHelp.pdf
856 kB
slides/027_factorVariables.pdf
834 kB
slides/004_representingData.pdf
763 kB
slides/032_countOutcomes.pdf
758 kB
slides/042_multipleTesting.pdf
727 kB
slides/017_exploratoryGraphs1.pdf
709 kB
slides/020_hierarchicalClustering.pdf
678 kB
slides/018_exploratoryGraphs2.pdf
648 kB
slides/026_pValues.pdf
607 kB
slides/024_basicLeastSquares.pdf
597 kB
slides/039_bootstrap.pdf
559 kB
slides/031_binaryOutcomes.pdf
542 kB
slides/025_inferenceBasics.pdf
542 kB
slides/016_dataMungingBasics.pdf
517 kB
slides/038_smoothing.pdf
512 kB
slides/010_structureOfADataAnalysis2.pdf
479 kB
slides/030_multipleFactors.pdf
478 kB
slides/033_modelChecking.pdf
476 kB
slides/037_predictingTrees.pdf
474 kB
slides/022_dimensionReduction.pdf
435 kB
slides/015_summarizingData.pdf
433 kB
slides/028_multipleVariables.pdf
429 kB
slides/041_combiningPredictors.pdf
391 kB
slides/043_simulationForModelChecking.pdf
371 kB
slides/013_gettingData2.pdf
343 kB
slides/040_bootstrapPrediction.pdf
286 kB
slides/021_kmeansClustering.pdf
225 kB
slides/035_crossValidation.pdf
220 kB
slides/006_simulationBasics.pdf
184 kB
slides/005_representingDataR.pdf
102 kB
slides/001_courseLogistics.pdf
81 kB
subs/018_4 - 8 - Data Munging Basics (31_31).srt
44 kB
subs/036_7 - 4 - Model checking and selection (26_24).srt
42 kB
subs/034_7 - 2 - Binary outcomes (23_20).srt
34 kB
subs/017_4 - 7 - Summarizing Data (23_21).srt
34 kB
subs/037_8 - 1 - Prediction study design (21_46).srt
34 kB
subs/021_5 - 3 - Exploratory Graphs Part 2 (23_19).srt
33 kB
subs/015_4 - 5 - Getting Data (Part 2) (22_05).srt
32 kB
subs/014_4 - 4 - Getting Data (Part 1) (21_48).srt
32 kB
subs/020_5 - 2 - Exploratory Graphs Part 1 (20_27).srt
30 kB
subs/025_5 - 7 - Dimension Reduction (21_24).srt
30 kB
subs/032_6 - 7 - Regression in the Real World (20_26).srt
30 kB
subs/028_6 - 3 - Inference Basics (21_22).srt
29 kB
subs/040_8 - 4 - Predicting with trees (19_06).srt
28 kB
subs/026_6 - 1 - Clustering Example (18_29).srt
28 kB
subs/039_8 - 3 - Predicting with regression (17_30).srt
27 kB
subs/023_5 - 5 - Hierarchical Clustering (17_40).srt
27 kB
subs/041_9 - 1 - Smoothing (19_11).srt
26 kB
subs/043_9 - 3 - Bootstrapping for prediction (19_46).srt
26 kB
subs/035_7 - 3 - Count outcomes (16_29).srt
25 kB
subs/042_9 - 2 - Bootstrap (19_03).srt
25 kB
subs/013_4 - 3 - Organizing a Data Analysis (16_13).srt
24 kB
subs/012_4 - 2 - Structure of a Data Analysis (Part 2) (16_59).srt
24 kB
subs/006_3 - 4 - Representing Data (18_42).srt
24 kB
subs/030_6 - 5 - Regression with Factor Variables (17_06).srt
24 kB
subs/022_5 - 4 - Expository Graphs (15_46).srt
22 kB
subs/029_6 - 4 - P-values (15_39).srt
22 kB
subs/038_8 - 2 - Cross-validation (13_59).srt
22 kB
subs/004_3 - 2 - Getting Help (12_24).srt
21 kB
subs/033_7 - 1 - ANOVA with multiple factors (12_43).srt
19 kB
subs/011_4 - 1 - Structure of a Data Analysis (Part 1) (12_15).srt
18 kB
subs/044_9 - 4 - Combining predictors (12_58).srt
18 kB
subs/027_6 - 2 - Basic Least Squares (11_12).srt
17 kB
subs/007_3 - 5 - Representing Data in R (13_18).srt
16 kB
subs/031_6 - 6 - Multiple Variable Regression (10_53).srt
16 kB
subs/005_3 - 3 - What Is Data.srt
15 kB
subs/009_3 - 7 - Types of Data Analysis Questions (10_54).srt
15 kB
subs/008_3 - 6 - Simulation Basics (9_57).srt
13 kB
subs/024_5 - 6 - K-Means Clustering (8_36).srt
13 kB
subs/002_2 - 2 - Course Logistics (8_06).srt
12 kB
subs/010_3 - 8 - Sources of Data Sets (7_34).srt
11 kB
subs/016_4 - 6 - Data Resources (7_30).srt
11 kB
subs/019_5 - 1 - Example Analysis Assignment (7_47).srt
11 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
5.8 kB