Coursera Introduction to Data Science 2013 | B5E65A014AABA80A0B7E3D0871B8A332F83557F4

Coursera Introduction to Data Science 2013

Name	Coursera - Introduction to Data Science (2013)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	4.2 GB
Total Files	290
Last Seen	2025-07-06 02:33
Hash	B5E65A014AABA80A0B7E3D0871B8A332F83557F4

/virtual machine/
Coursera-Data-Science-Ubuntu.ova	2.5 GB
tips.txt	0.9 KB
/soft/
TableauDesktop.exe	91.6 MB
/video-extra/
Introduction to JSMapreduce.mp4	51.3 MB
/video/
8 - 2 - Eventual Consistency (1856).mp4	27.2 MB
1 - 11 - Twitter Assignment Getting Started with Problem 0 and Problem 1.mp4	26.5 MB
1 - 1 - Appetite Whetting Part 1 (1538).mp4	25.1 MB
8 - 7 - Example Other Google Systems (1618).mp4	24.9 MB
8 - 3 - Example Memcached (1637).mp4	24.4 MB
3 - 1 - Scalability Basics (1618).mp4	24.4 MB
3 - 9 - Parallel Databases (1618).mp4	23.8 MB
8 - 11 - Pig Join and Co-Group Join (1610).mp4	23.5 MB
1 - 8 - Big Data (1436).mp4	22.9 MB
10 - 1 - 01 Guest Segment Aaron Kimball Wibidata.mp4	22.3 MB
1 - 2 - Appetite Whetting Part 2 (1344).mp4	21.2 MB
3 - 11 - Experimental Results MR and DB (1501).mp4	21.1 MB
1 - 5 - This Course Part 1 (1402).mp4	20.6 MB
8 - 8 - Response to NoSQL Systems (1444).mp4	20.3 MB
5 - 6 - 06 Information Gain (1143).mp4	20.2 MB
3 - 6 - MapReduce Relational Join Social Example (1317).mp4	19.6 MB
2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).mp4	19.1 MB
3 - 8 - MapReduce Implementation Overview (1338).mp4	18.9 MB
4 - 8 - Bayes Rule (1153).mp4	18.5 MB
4 - 6 - Recap and Big Data (1139).mp4	18.4 MB
1 - 9 - Guest Lecture Biomedical Informatics (1024).mp4	18.1 MB
4 - 1 - Statistics Intro (1036).mp4	17.7 MB
3 - 3 - MapReduce Abstractions (1117).mp4	17.7 MB
5 - 12 - 12 k Nearest Neighbors (1143).mp4	17.7 MB
5 - 11 - 11 Random Forests (1116).mp4	17.6 MB
1 - 7 - eScience (1146).mp4	17.6 MB
4 - 5 - Multiple Hypothesis Testing (1122).mp4	17.3 MB
8 - 10 - Pig Functions (1141).mp4	17.3 MB
3 - 2 - Parallel Processing Patterns (1126).mp4	17.2 MB
5 - 7 - 07 Overfitting (1104).mp4	17.0 MB
7 - 8 - 08 PRISM Example in Datalog (1110).mp4	17.0 MB
3 - 5 - MapReduce Text Examples (958).mp4	16.9 MB
2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).mp4	16.8 MB
2 - 9 - Physical Optimization (1114).mp4	16.8 MB
4 - 4 - Fraud and Benfords Law (1055).mp4	16.8 MB
2 - 4 - Relational Algebra Details Union Diff Select (1053).mp4	16.6 MB
2 - 3 - Relational Algebra Introduction (1058).mp4	16.5 MB
5 - 5 - 05 Decision Trees Entropy (1051).mp4	16.5 MB
9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).mp4	16.3 MB
8 - 6 - Example BigTable (1105).mp4	16.2 MB
5 - 8 - 08 Evaluation and Cross-Validation (1046).mp4	16.2 MB
8 - 9 - Pig Intro (1202).mp4	16.1 MB
2 - 10 - Declarative Languages (1030).mp4	16.0 MB
7 - 12 - 12 PageRank in MapReduce and Pregel (1042).mp4	15.8 MB
2 - 1 - From Data Models to Databases (1035).mp4	15.6 MB
8 - 12 - Pig Evaluation (1011).mp4	15.1 MB
4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).mp4	14.8 MB
1 - 6 - This Course Part 2 (1050).mp4	14.8 MB
8 - 5 - Example CouchDB (1000).mp4	14.7 MB
2 - 11 - Logical Data Independence (1123).mp4	14.7 MB
7 - 6 - 06 Patterns Triangles SPARQL Datalog (1002).mp4	14.6 MB
5 - 10 - 10 Ensembles Bagging and Boosting (0919).mp4	14.5 MB
8 - 4 - Example Dynamo (1016).mp4	14.5 MB
9 - 8 - 08 DBSCAN (0913).mp4	14.4 MB
6 - 2 - 02 Data Types (937).mp4	14.1 MB
1 - 3 - Context (930).mp4	14.1 MB
3 - 7 - MapReduce Matrix Multiply Example (931).mp4	13.8 MB
9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).mp4	13.6 MB
4 - 2 - Publication Bias (845).mp4	13.6 MB
10 - 2 - 02 Guest Segment Karen Hsu Datameer.mp4	13.6 MB
5 - 3 - 03 Rules Part 1 (0919).mp4	13.5 MB
8 - 1 - NoSQL Introduction (830).mp4	13.4 MB
1 - 4 - Dimensions (1024).mp4	13.4 MB
2 - 2 - Motivating Relational Algebra (857).mp4	13.3 MB
4 - 7 - Bayesian Intro (759).mp4	13.1 MB
3 - 4 - MapReduce Pseudocode (754).mp4	12.9 MB
2 - 6 - Relational Algebra Details Theta-Join (834).mp4	12.8 MB
7 - 10 - 10 Optimizing MapReduce for Graph Traversal (0820).mp4	12.8 MB
7 - 7 - 07 Patterns Relational Algebra for Graph Query (0826).mp4	12.5 MB
7 - 2 - 02 Structure Degree Histograms (0814).mp4	12.4 MB
5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).mp4	12.2 MB
7 - 9 - 09 Evaluating Graph Traversal Queries (0829).mp4	12.2 MB
2 - 8 - SQL for Data Science User-Defined Functions (759).mp4	11.7 MB
1 - 10 - Logistics (742).mp4	11.4 MB
7 - 5 - 05 Traversal Spanning Trees Circuits Flows (0657).mp4	10.8 MB
6 - 1 - 01 Introduction (717).mp4	10.7 MB
9 - 1 - 01 Gradient Descent Part 1 (0718).mp4	10.6 MB
9 - 4 - 04 Intuition for Regularization (0659).mp4	10.4 MB
7 - 11 - 11 Graph Representations (0651).mp4	10.1 MB
7 - 3 - 03 Structure Diameter Connectivity Centrality (0656).mp4	10.1 MB
6 - 5 - 05 Visual Encoding (Part 1) (638).mp4	10.1 MB
7 - 4 - 04 Traversal PageRank (0637).mp4	9.8 MB
9 - 2 - 02 Gradient Descent Part 2 (0629).mp4	9.5 MB
3 - 10 - Comparing MapReduce and Databases (0639).mp4	9.4 MB
7 - 1 - 01 Graph Basics (0622).mp4	9.2 MB
9 - 6 - 06 Unsupervised Learning (0611).mp4	9.1 MB
5 - 4 - 04 Rules Part 2 (0539).mp4	9.1 MB
5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).mp4	8.4 MB
9 - 7 - 07 K-means (0556).mp4	8.4 MB
5 - 9 - 09 The Bootstrap (0413).mp4	7.0 MB
6 - 7 - 07 Visual Perception (Part 1) (439).mp4	6.9 MB
6 - 8 - 08 Visual Perception (Part 2) (418).mp4	6.3 MB
6 - 3 - 03 Data Types (Exercises) (407).mp4	6.2 MB
6 - 9 - 09 Visual Perception (Part 3) (356).mp4	5.6 MB
6 - 10 - 10 Evaluation (325).mp4	5.3 MB
6 - 4 - 04 Data Dimensions (308).mp4	4.6 MB
6 - 6 - 06 Visual Encoding (Part 2) (254).mp4	4.4 MB
/assignments/
6_VisualizationAssignment.twbx	6.3 MB
4_aws-setup.pdf	276.9 KB
1_instructions.pdf	267.2 KB
4_quiz.pdf	263.9 KB
3_js_quiz.pdf	261.6 KB
2_instructions.pdf	200.1 KB
3_python_instructions.pdf	145.7 KB
/slides/
016_parallel_thinking.pdf	3.3 MB
005_escience.pdf	2.7 MB
017_map_reduce_abstraction.pdf	2.3 MB
059_gradient_descent_part_1.pdf	1.4 MB
006_big_data.pdf	1.3 MB
041_fraud_benfords_law.pdf	1.3 MB
000b_appetite_whetting_2.pdf	1.2 MB
000_appetite_whetting_1.pdf	1.0 MB
Infovis Aragon 2 Data Types.pdf	977.6 KB
Infovis Aragon 7 Visual Perception (Part 1).pdf	905.9 KB
087_pagerank_mapreduce_pregel.pdf	822.9 KB
Infovis Aragon 5 Visual Encoding (Part 1).pdf	768.0 KB
033_nosql_response.pdf	764.5 KB
guests-kiji-uw-data-science.pdf	753.7 KB
025_mapreduce_and_databases_experiments.pdf	747.6 KB
032_other_google_systems.pdf	746.4 KB
027_eventual_consistency.pdf	734.9 KB
003_this_course_1.pdf	721.1 KB
Infovis Aragon 6 Visual Encoding (Part 2).pdf	701.8 KB
Infovis Aragon 1 Introduction.pdf	689.7 KB
Infovis Aragon 4 Data Dimensions.pdf	686.9 KB
013_declarative_languages.pdf	677.2 KB
043_recap_and_big_data.pdf	675.2 KB
061_intuition_logistic_regression_svms.pdf	655.7 KB
066_dbscan.pdf	651.8 KB
008_data_models.pdf	635.1 KB
060_gradient_descent_part_2.pdf	609.4 KB
028_memcached.pdf	599.9 KB
011.8_interpreting_complicated_sql.pdf	590.9 KB
084_evaluating_recursive_programs.pdf	590.8 KB
040_effect_size_meta_analysis_heteroskedasticity.pdf	581.6 KB
030_couchdb.pdf	575.7 KB
064_unsupervised_learning_copy.pdf	564.2 KB
034_pig_intro.pdf	539.7 KB
026_nosql_intro.pdf	537.8 KB
022_map_reduce_implementation_overview.pdf	512.9 KB
011.7_theta_join.pdf	503.9 KB
063_stochastic_gradient_descent.pdf	502.1 KB
062_intuition_regularization.pdf	501.9 KB
049_rules_1.pdf	495.8 KB
031_bigtable.pdf	494.8 KB
077b_graph_histograms.pdf	493.4 KB
051_intro_trees.pdf	488.1 KB
014_logical_data_independence.pdf	480.2 KB
081_pattern_matching.pdf	478.7 KB
042_multiple_hypothesis_testing_CORRECTED.pdf	478.7 KB
029_dynamo.pdf	477.4 KB
Infovis Aragon 8 Visual Perception (Part 2).pdf	460.6 KB
085_optimizing_recursive_programs_in_mr.pdf	448.4 KB
001_context.pdf	439.9 KB
012_physical_optimization.pdf	437.4 KB
Infovis Aragon 3 Data Types (Exercises).pdf	434.2 KB
086_graph_representations.pdf	433.9 KB
052_information_gain.pdf	428.8 KB
045_bayes_rule.pdf	419.2 KB
039_publication_bias.pdf	418.1 KB
080_traversal_tasks.pdf	409.6 KB
078_structural_analysis_tasks.pdf	408.4 KB
023_parallel_databases.pdf	394.7 KB
004_this_course_2.pdf	392.1 KB
011.6_relational_algebra_project_cross_equijoin.pdf	389.9 KB
011.5_relational_algebra_union_diff_select.pdf	373.1 KB
053_overfitting.pdf	354.9 KB
007_logistics.pdf	353.5 KB
019_map_reduce_text_examples.pdf	345.7 KB
037_pig_evaluation.pdf	344.1 KB
Infovis Aragon 9 Visual Perception (Part 3).pdf	338.2 KB
047_overview_machine_learning.pdf	336.4 KB
020_map_reduce_join_social_examples.pdf	333.9 KB
021_map_reduce_matrix_multiply.pdf	325.7 KB
Infovis Aragon 10 Evaluation.pdf	305.5 KB
009_relational_motivation.pdf	301.4 KB
055_bootstrap.pdf	291.5 KB
002_dimensions.pdf	288.5 KB
079_pagerank.pdf	285.3 KB
050_rules_2.pdf	285.2 KB
054_evaluation_thresholds.pdf	277.1 KB
056_ensembles_and_boosting.pdf	248.0 KB
036_cogroup_join.pdf	239.3 KB
015_scalability.pdf	229.3 KB
035_pig_load_filter_group_foreach.pdf	195.6 KB
guests-datameer_beyond_mapreduce.pdf	193.3 KB
058_nearest_neighbor.pdf	192.4 KB
065_kmeans.pdf	185.5 KB
010_relational_algebra_intro.pdf	160.5 KB
038_stats_intro.pdf	152.2 KB
083_prism_example.pdf	150.6 KB
044_intro_bayesian.pdf	106.0 KB
024_mapreduce_and_databases.pdf	97.1 KB
018_map_reduce_pseudocode.pdf	96.4 KB
048_intro_machine_learning_2.pdf	95.2 KB
082_relational_algebra_for_graph_tasks.pdf	93.6 KB
057_random_forests.pdf	89.6 KB
011.9_user_defined_functions.pdf	63.1 KB
/docs/
Running Tableau on AWS.pdf	895.4 KB
Syllabus.pdf	207.7 KB
Github Instructions.pdf	130.9 KB
Course Logistics.pdf	126.8 KB
Class Virtual Machine.pdf	90.7 KB
Python Resources.pdf	85.6 KB
/subtitles/
8 - 2 - Eventual Consistency (1856).srt	29.3 KB
1 - 8 - Big Data (1436).srt	25.5 KB
8 - 7 - Example Other Google Systems (1618).srt	25.3 KB
3 - 9 - Parallel Databases (1618).srt	24.9 KB
3 - 1 - Scalability Basics (1618).srt	24.1 KB
8 - 3 - Example Memcached (1637).srt	23.9 KB
8 - 11 - Pig Join and Co-Group Join (1610).srt	23.2 KB
1 - 5 - This Course Part 1 (1402).srt	23.0 KB
1 - 1 - Appetite Whetting Part 1 (1538).srt	22.9 KB
8 - 8 - Response to NoSQL Systems (1444).srt	22.6 KB
3 - 11 - Experimental Results MR and DB (1501).srt	20.2 KB
3 - 8 - MapReduce Implementation Overview (1338).srt	20.2 KB
1 - 7 - eScience (1146).srt	19.7 KB
2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).srt	19.0 KB
1 - 2 - Appetite Whetting Part 2 (1344).srt	18.5 KB
8 - 9 - Pig Intro (1202).srt	18.5 KB
2 - 1 - From Data Models to Databases (1035).srt	18.2 KB
3 - 6 - MapReduce Relational Join Social Example (1317).srt	18.2 KB
5 - 6 - 06 Information Gain (1143).srt	17.7 KB
3 - 3 - MapReduce Abstractions (1117).srt	17.3 KB
2 - 3 - Relational Algebra Introduction (1058).srt	17.2 KB
5 - 7 - 07 Overfitting (1104).srt	17.0 KB
4 - 6 - Recap and Big Data (1139).srt	17.0 KB
2 - 9 - Physical Optimization (1114).srt	16.9 KB
1 - 4 - Dimensions (1024).srt	16.9 KB
1 - 6 - This Course Part 2 (1050).srt	16.8 KB
3 - 2 - Parallel Processing Patterns (1126).srt	16.7 KB
5 - 11 - 11 Random Forests (1116).srt	16.5 KB
8 - 10 - Pig Functions (1141).srt	16.3 KB
5 - 12 - 12 k Nearest Neighbors (1143).srt	16.0 KB
1 - 3 - Context (930).srt	16.0 KB
4 - 8 - Bayes Rule (1153).srt	16.0 KB
9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).srt	16.0 KB
8 - 6 - Example BigTable (1105).srt	15.9 KB
4 - 1 - Statistics Intro (1036).srt	15.9 KB
4 - 5 - Multiple Hypothesis Testing (1122).srt	15.9 KB
2 - 4 - Relational Algebra Details Union Diff Select (1053).srt	15.7 KB
2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).srt	15.6 KB
8 - 5 - Example CouchDB (1000).srt	15.5 KB
5 - 8 - 08 Evaluation and Cross-Validation (1046).srt	15.4 KB
8 - 12 - Pig Evaluation (1011).srt	15.4 KB
2 - 11 - Logical Data Independence (1123).srt	15.0 KB
4 - 4 - Fraud and Benfords Law (1055).srt	14.6 KB
4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).srt	14.6 KB
5 - 5 - 05 Decision Trees Entropy (1051).srt	14.5 KB
2 - 10 - Declarative Languages (1030).srt	14.4 KB
8 - 4 - Example Dynamo (1016).srt	13.9 KB
2 - 2 - Motivating Relational Algebra (857).srt	13.7 KB
5 - 10 - 10 Ensembles Bagging and Boosting (0919).srt	13.6 KB
9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).srt	13.5 KB
8 - 1 - NoSQL Introduction (830).srt	13.5 KB
9 - 8 - 08 DBSCAN (0913).srt	13.3 KB
3 - 5 - MapReduce Text Examples (958).srt	13.3 KB
1 - 9 - Guest Lecture Biomedical Informatics (1024).srt	13.3 KB
5 - 3 - 03 Rules Part 1 (0919).srt	13.3 KB
6 - 2 - 02 Data Types (937).srt	12.9 KB
2 - 6 - Relational Algebra Details Theta-Join (834).srt	12.6 KB
5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).srt	12.6 KB
1 - 10 - Logistics (742).srt	12.5 KB
4 - 2 - Publication Bias (845).srt	12.4 KB
9 - 1 - 01 Gradient Descent Part 1 (0718).srt	11.5 KB
2 - 8 - SQL for Data Science User-Defined Functions (759).srt	11.4 KB
3 - 10 - Comparing MapReduce and Databases (0639).srt	11.3 KB
4 - 7 - Bayesian Intro (759).srt	11.1 KB
9 - 4 - 04 Intuition for Regularization (0659).srt	10.6 KB
3 - 4 - MapReduce Pseudocode (754).srt	10.5 KB
9 - 6 - 06 Unsupervised Learning (0611).srt	10.4 KB
3 - 7 - MapReduce Matrix Multiply Example (931).srt	10.2 KB
6 - 1 - 01 Introduction (717).srt	10.1 KB
9 - 2 - 02 Gradient Descent Part 2 (0629).srt	9.3 KB
5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).srt	8.2 KB
6 - 5 - 05 Visual Encoding (Part 1) (638).srt	8.0 KB
5 - 4 - 04 Rules Part 2 (0539).srt	7.7 KB
9 - 7 - 07 K-means (0556).srt	7.5 KB
6 - 7 - 07 Visual Perception (Part 1) (439).srt	6.4 KB
5 - 9 - 09 The Bootstrap (0413).srt	6.1 KB
6 - 8 - 08 Visual Perception (Part 2) (418).srt	5.4 KB
6 - 3 - 03 Data Types (Exercises) (407).srt	5.0 KB
6 - 9 - 09 Visual Perception (Part 3) (356).srt	4.5 KB
6 - 10 - 10 Evaluation (325).srt	4.3 KB
6 - 4 - 04 Data Dimensions (308).srt	4.0 KB
6 - 6 - 06 Visual Encoding (Part 2) (254).srt	3.6 KB
Total files 290