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[] Udacity - Data Analyst Nanodegree v1.0.0

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  • 文件大小:21GB
  • 下载次数:42
  • 最近下载:2021-01-16 20:47:51
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文件列表

  1. Part 12-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-qRv1wrtgsmM.mp4 113MB
  2. Part 12-Module 01-Lesson 05_Interview Practice/05. Maximum Difference in an Integer Array-i3RTW83wI1Q.mp4 107MB
  3. Part 12-Module 02-Lesson 08_Technical Interview - Python/07. Coding-zhQYREUI8Z0.mp4 105MB
  4. Part 12-Module 02-Lesson 08_Technical Interview - Python/08. Coding 2-qEteyPNRSwU.mp4 105MB
  5. Part 11-Module 01-Lesson 06_Datasets and Questions/01. Introduction-TdopVWltgqM.mp4 88MB
  6. Part 06-Module 01-Lesson 03_Analyzing Data/19. Geospatial Indexes-iGnSNfzaLf4.mp4 68MB
  7. Part 06-Module 01-Lesson 03_Analyzing Data/11. Unwind Operator-6wBjB3Ca5H4.mp4 58MB
  8. Part 12-Module 01-Lesson 05_Interview Practice/03. Free Throw Probability-Zyq0FQ0XO3o.mp4 57MB
  9. Part 14-Module 01-Lesson 05_Analyzing Results/09. Single Metric Example-LCZG4wlEFXE.mp4 54MB
  10. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/29. Lessons Learned-_dnp6ItYOdA.mp4 53MB
  11. Part 13-Module 01-Lesson 08_Animation and Interaction/49. The Future of Data Visualizations--CWbVBYBYWU.mp4 53MB
  12. Part 12-Module 01-Lesson 05_Interview Practice/04. Query a SQL database-UVSFLWdAKl4.mp4 51MB
  13. Part 13-Module 01-Lesson 03_Problem Set Visualization Fundamentals/01. Data Visualization Resources-OYl-saB2vWE.mp4 50MB
  14. Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/15. JSON Playground-la_rboWWjQI.mp4 50MB
  15. Part 12-Module 01-Lesson 03_Interview Fails/04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.mp4 50MB
  16. Part 09-Module 01-Lesson 07_Explore Many Variables/16. Sean's NFL Fan Sentiment Study-ahaxt6UKxQw.mp4 50MB
  17. Part 14-Module 01-Lesson 05_Analyzing Results/16. Analyzing Multiple Metrics-mbHnQ_EdrZ8.mp4 50MB
  18. Part 04-Module 03-Lesson 01_Investigate a Dataset/05. Investigate A Dataset Project Walkthrough Final-OtDZCYxbHB4.mp4 49MB
  19. Part 14-Module 01-Lesson 04_Designing an Experiment/23. Learning Effects-nFpIDWPUDm8.mp4 49MB
  20. Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/09. Using CSV Module--S4vc6tvxoI.mp4 49MB
  21. Part 06-Module 01-Lesson 03_Analyzing Data/17. Indexes-tSgPhxZdhLk.mp4 48MB
  22. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/09. Other Techniques, Part 2-siuolDaB4eU.mp4 47MB
  23. Part 03-Module 01-Lesson 11_L4 Variability/32. SD Social Networkers-cy8BwWl36Q4.mp4 45MB
  24. Part 03-Module 01-Lesson 07_Google Spreadsheet Tutorial/01. Tutorial-c3yK3OhuNvo.mp4 45MB
  25. Part 06-Module 01-Lesson 03_Analyzing Data/03. Example of Aggregation Framework-pOJAW4jTjr0.mp4 45MB
  26. Part 06-Module 01-Lesson 03_Analyzing Data/18. Using Indexes-vL9FcO_9dCA.mp4 45MB
  27. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/22. Variability Example-gs4qKb-0Lfs.mp4 45MB
  28. Part 12-Module 01-Lesson 05_Interview Practice/02. Describe your latest data project-cXluuqCVg18.mp4 42MB
  29. Part 05-Module 01-Lesson 05_Data Quality/08. Example Using our Blueprint-G3RjHqqQSgE.mp4 42MB
  30. Part 05-Module 01-Lesson 05_Data Quality/18. Auditing Uniformity-cF0AEW4SIUM.mp4 41MB
  31. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/12. Metric Definition and Data Capture-qtVm_stSHuM.mp4 41MB
  32. Part 06-Module 01-Lesson 03_Analyzing Data/13. Group Accumulation Operators-cleAY1-Jboc.mp4 41MB
  33. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/13. Metric Definition Example-xOSypbjALh4.mp4 41MB
  34. Part 12-Module 01-Lesson 02_Practice Behavioral Questions/06. A Problem and How You Dealt With It-7IKqdW30GvQ.mp4 41MB
  35. Part 05-Module 01-Lesson 03_Data in More Complex Formats/07. Parsing XML-SIsG0HYYwY4.mp4 40MB
  36. Part 14-Module 01-Lesson 05_Analyzing Results/07. Sanity Checking Wrapup-rCAYdZk5O2E.mp4 40MB
  37. Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/02. Familiarize Yourself with the Dataset-JyX6j00Q2Cg.mp4 40MB
  38. Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/02. Familiarize Yourself with the Dataset-JyX6j00Q2Cg.mp4 40MB
  39. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/14. Filtering and Segmenting-DETCNMqnnKw.mp4 39MB
  40. Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/10. Reviewing our Street Name Audit-pH3VusOq9tc.mp4 38MB
  41. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/30. Lessons Learned, Part 2-1JRk6dgQhkE.mp4 38MB
  42. Part 06-Module 01-Lesson 01_Working with MongoDB/25. Dot Notation-OcPW6xp8DfE.mp4 38MB
  43. Part 06-Module 01-Lesson 03_Analyzing Data/09. Project Operator-_kupbxrZBds.mp4 37MB
  44. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/24. Empirical Variability-Wzs1KFldiUE.mp4 37MB
  45. Part 14-Module 01-Lesson 04_Designing an Experiment/03. Unit of Diversion Example-W4Xno_vJvZM.mp4 37MB
  46. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/16. Summary Metrics-ghMD3AfjLZc.mp4 36MB
  47. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/03. Metric Definition Overview, Part 2-0DyLzS2ux7g.mp4 36MB
  48. Part 14-Module 01-Lesson 04_Designing an Experiment/11. Target Population-HO1Doq8PiCI.mp4 36MB
  49. Part 06-Module 01-Lesson 03_Analyzing Data/15. Multiple Stages Using a Given Operator-0TV8kTw9-HM.mp4 35MB
  50. Part 14-Module 01-Lesson 04_Designing an Experiment/04. Consistency of Diversion-im8-LLU5J_Y.mp4 35MB
  51. Part 11-Module 01-Lesson 06_Datasets and Questions/03. Accuracy vs. Training Set Size-9w1Yi5nMNgw.mp4 35MB
  52. Part 09-Module 01-Lesson 01_What is EDA/08. Aude Explores Coordinated Migration-7ihp6ofAJG8.mp4 35MB
  53. Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/08. Auditing Street Names-c0IcUiF_kXs.mp4 35MB
  54. Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/09. Auditing Street Names-c0IcUiF_kXs.mp4 35MB
  55. Part 14-Module 01-Lesson 01_Overview of AB Testing/03. Intro to AB Testing-ASQubLvGuxY.mp4 34MB
  56. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/25. Empirical Variability Sanity Checking-6vxdVWIA6dI.mp4 34MB
  57. Part 05-Module 01-Lesson 03_Data in More Complex Formats/03. XML Design Principles-eQpSC0IFhv0.mp4 34MB
  58. Part 14-Module 01-Lesson 05_Analyzing Results/18. Gotchas Changes Over Time-P7Hso-EoWvA.mp4 34MB
  59. Part 02-Module 01-Lesson 01_Intro to Research Methods/04. Define Constructs-J2kY_Xf7i1E.mp4 34MB
  60. Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/04. Define Constructs-J2kY_Xf7i1E.mp4 34MB
  61. Part 13-Module 01-Lesson 01_Visualization Fundamentals/26. Up and Down the Visualization Spectrum-NdVf2bY8OnM.mp4 34MB
  62. Part 14-Module 01-Lesson 04_Designing an Experiment/24. Lessons Learned-GonjL0GbNiw.mp4 33MB
  63. Part 12-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-Uy89Ff49pRc.mp4 33MB
  64. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/05. Refining the Customer Funnel-L2NEk4jvlcY.mp4 33MB
  65. Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/05. Iterating through Ways Tags-GYhOEJ8EXkg.mp4 33MB
  66. Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/06. Iterating through Ways Tags-GYhOEJ8EXkg.mp4 33MB
  67. Part 10-Module 01-Lesson 01_Develop Your Personal Brand/04. Meet Chris-0ccflD9x5WU.mp4 33MB
  68. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/18. Sensitivity and Robustness-T2QI3p0yDNk.mp4 32MB
  69. Part 11-Module 01-Lesson 13_PCA/31. Eigenfaces Code-LgLYw-G4sLQ.mp4 32MB
  70. Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/02. Standard Error-GTsnxTCjmcM.mp4 32MB
  71. Part 05-Module 01-Lesson 05_Data Quality/10. Wikipedia Infobox Dataset-hpyNAYJODqw.mp4 32MB
  72. Part 12-Module 02-Lesson 08_Technical Interview - Python/05. Brainstorming-LJFYhMDCCsU.mp4 32MB
  73. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/08. Defining Metrics Other Techniques-gEO8il9GU3M.mp4 32MB
  74. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/19. Sensitivity and Robustness Example-_I7m7Y4hBOs.mp4 31MB
  75. Part 12-Module 02-Lesson 08_Technical Interview - Python/09. Debugging-Bz1tlvkql9Q.mp4 31MB
  76. Part 14-Module 01-Lesson 04_Designing an Experiment/20. Duration vs. Exposure-MsByTo7FRgs.mp4 31MB
  77. Part 14-Module 01-Lesson 05_Analyzing Results/06. Checking Invariants, Part 2-05jVh4kUbHU.mp4 31MB
  78. Part 11-Module 01-Lesson 14_Validation/10. Practical Advice for K-Fold in sklearn-COVRSk0GDEE.mp4 31MB
  79. Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/12. Intro to JSON-Fi7RjhBLobY.mp4 29MB
  80. Part 13-Module 01-Lesson 07_Narrative Structures/07. How to Lie with Bar Charts-75c7a4R4pZ0.mp4 29MB
  81. Part 06-Module 01-Lesson 01_Working with MongoDB/08. Intro to PyMongo-h6M4x9aXx5g.mp4 29MB
  82. Part 13-Module 01-Lesson 07_Narrative Structures/25. Demystifying D3-y7QK8XMHyDQ.mp4 28MB
  83. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/02. Metric Definition Overview-pOxyL1lwBIw.mp4 28MB
  84. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/26. Empirical Confidence Intervals-ca8GQmr7B8g.mp4 28MB
  85. Part 05-Module 01-Lesson 05_Data Quality/11. Auditing a Cross-Field Constraint-Y7TNXALXut8.mp4 28MB
  86. Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/10. Intro to XLRD-TcWtpvLSoG0.mp4 28MB
  87. Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/01. Independent Samples-K25Xtqr2WvI.mp4 28MB
  88. Part 13-Module 01-Lesson 06_Problem Set Chart Types and Axes/13. Scott's Advice to Break into Data Vis-v5ywQMRCxMg.mp4 28MB
  89. Part 06-Module 01-Lesson 01_Working with MongoDB/29. Removing Documents-oFWNOvxuIRQ.mp4 28MB
  90. Part 14-Module 01-Lesson 05_Analyzing Results/15. Multiple Metrics Example 3-XByoblkCgfE.mp4 27MB
  91. Part 14-Module 01-Lesson 05_Analyzing Results/10. Single Metric Gotchas-WrfWFLiFeMU.mp4 27MB
  92. Part 05-Module 01-Lesson 05_Data Quality/14. Auditing Accuracy 2-5xY3sCBHkOk.mp4 27MB
  93. Part 06-Module 01-Lesson 03_Analyzing Data/04. The Aggregation Pipeline-0sl_mbV-fho.mp4 27MB
  94. Part 14-Module 01-Lesson 01_Overview of AB Testing/07. History of AB Testing-NNiKGao0xnk.mp4 27MB
  95. Part 03-Module 01-Lesson 08_L3 Central Tendency/29. Formula for Location of Median-lNYLU1b4qoM.mp4 27MB
  96. Part 14-Module 01-Lesson 04_Designing an Experiment/10. Inter- vs. Intra-User Experiments-EGE8ddtWIeo.mp4 26MB
  97. Part 14-Module 01-Lesson 05_Analyzing Results/09. Single Metric Example--QwMdwqUq9c.mp4 26MB
  98. Part 06-Module 01-Lesson 01_Working with MongoDB/27. Set Unset-bgOky14w77Q.mp4 26MB
  99. Part 03-Module 01-Lesson 18_L7 Sampling Distributions/22. Simulation Applet-yu4mdXybrts.mp4 26MB
  100. Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/03. Iterative Parsing-pxUvIP4PQt0.mp4 26MB
  101. Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/03. Iterative Parsing-pxUvIP4PQt0.mp4 26MB
  102. Part 02-Module 01-Lesson 01_Intro to Research Methods/23. McDonald's-29Vf6PytVbA.mp4 25MB
  103. Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/23. McDonald's-29Vf6PytVbA.mp4 25MB
  104. Part 16-Module 02-Lesson 01_The Data Analysis Process/05. DAP Overview-qdV4sifMmWI.mp4 25MB
  105. Part 13-Module 01-Lesson 07_Narrative Structures/28. Joins in D3-rDjOINfKftY.mp4 25MB
  106. Part 05-Module 01-Lesson 05_Data Quality/15. Auditing Completeness-PMbcv9AYQT4.mp4 25MB
  107. Part 14-Module 01-Lesson 05_Analyzing Results/17. Drawing Conclusions-CZQ-nZyUG7g.mp4 25MB
  108. Part 11-Module 01-Lesson 02_Naive Bayes/01. ML in The Google Self-Driving Car-lL16AQItG1g.mp4 25MB
  109. Part 07-Module 01-Lesson 01_GitHub Review/13. Interview with Art - Part 3-M6PKr3S1rPg.mp4 25MB
  110. Part 13-Module 01-Lesson 02_D3 Building Blocks/28. Server Requests and D3-Lx9dhgMZO1s.mp4 25MB
  111. Part 18-Module 03-Lesson 01_Assessing Data/15. Quality Programatic Assessment 1-l-FhDkQRclA.mp4 25MB
  112. Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/09. Reviewing our Street Name Audit-eIvm5rEMZGY.mp4 25MB
  113. Part 12-Module 02-Lesson 03_Searching and Sorting/04. Recursion-_aI2Jch6Epk.mp4 25MB
  114. Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/08. Report Results-xNbzHOnSx5Q.mp4 25MB
  115. Part 05-Module 02-Lesson 07_Case study OpenStreetMap Data [SQL]/04. Ways in the Open Street Map XML-1OwIbj9dcLo.mp4 24MB
  116. Part 06-Module 01-Lesson 05_Case Study OpenStreetMap Data/05. Ways in the Open Street Map XML-1OwIbj9dcLo.mp4 24MB
  117. Part 13-Module 01-Lesson 08_Animation and Interaction/02. Case Study US Unemployment-R6Nk8NsEzUA.mp4 24MB
  118. Part 21-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 24MB
  119. Part 06-Module 01-Lesson 01_Working with MongoDB/20. Regex Operator-MbJfmI7kzQI.mp4 24MB
  120. Part 05-Module 01-Lesson 03_Data in More Complex Formats/05. Fundamentals of XML-Ti8K9FmNW1w.mp4 23MB
  121. Part 05-Module 01-Lesson 03_Data in More Complex Formats/15. Extracting Entities-aJD8WJa3-9A.mp4 23MB
  122. Part 11-Module 01-Lesson 09_Clustering/12. Sklearn-3zHUAXcoZ7c.mp4 23MB
  123. Part 14-Module 01-Lesson 04_Designing an Experiment/08. Unit of Analysis vs. Unit of Diversion-rzim0wu_0kM.mp4 23MB
  124. Part 13-Module 01-Lesson 07_Narrative Structures/13. Errors in Data Collection-xcYDjXpYbs0.mp4 23MB
  125. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/11. Other Techniques Example-z1UX9i9_piQ.mp4 23MB
  126. Part 13-Module 01-Lesson 08_Animation and Interaction/46. World Cup Code and Narrative Recap-lnHEvGeech0.mp4 23MB
  127. Part 17-Module 01-Lesson 16_Logistic Regression/29. Model Diagnostics In Python-1Z4eorbfOOc.mp4 23MB
  128. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/15. Filtering and Segmenting Example-WgM3cBEtkqg.mp4 22MB
  129. Part 09-Module 01-Lesson 09_Diamonds Price Predictions/05. Frances Gerety-GXT_vXBA0vQ.mp4 22MB
  130. Part 17-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-FV_hc3MzS_8.mp4 22MB
  131. Part 06-Module 01-Lesson 03_Analyzing Data/06. Aggregation Operators 1-mRNyMEoCoY0.mp4 22MB
  132. Part 17-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-b2zvrFL8AUw.mp4 22MB
  133. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/15. Filtering and Segmenting Example-XTS6m5_3fdU.mp4 22MB
  134. Part 11-Module 01-Lesson 12_Feature Selection/14. Balancing Error with Number of Features-IwiIFMcDwoA.mp4 22MB
  135. Part 07-Module 01-Lesson 01_GitHub Review/04. Interview with Art - Part 1-ClLYamtaO-Q.mp4 22MB
  136. Part 21-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 22MB
  137. Part 06-Module 01-Lesson 01_Working with MongoDB/28. Multi Update-tuXc0Ycy_yM.mp4 22MB
  138. Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/04. Statistical Significance-kpdwHL54eys.mp4 21MB
  139. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/17. Summary Metrics Example--DqU-ARfQr4.mp4 21MB
  140. Part 14-Module 01-Lesson 05_Analyzing Results/13. Multiple Metrics Example-60IGcSho56o.mp4 21MB
  141. Part 14-Module 01-Lesson 05_Analyzing Results/19. Lessons Learned-5JjCVTc0FGk.mp4 21MB
  142. Part 03-Module 01-Lesson 08_L3 Central Tendency/15. Properties of the Mean-AqlvTMZg6HY.mp4 21MB
  143. Part 06-Module 01-Lesson 01_Working with MongoDB/06. Flexible Schema-6a-YgbrEACk.mp4 21MB
  144. Part 13-Module 01-Lesson 01_Visualization Fundamentals/07. Design Code Tell-qsWz7r8muII.mp4 21MB
  145. Part 03-Module 01-Lesson 08_L3 Central Tendency/10. More o' Mode!-74mudn321tA.mp4 21MB
  146. Part 09-Module 01-Lesson 01_What is EDA/03. Why learn EDA-YM68DrqJw1I.mp4 21MB
  147. Part 21-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4 21MB
  148. Part 14-Module 01-Lesson 05_Analyzing Results/02. Sanity Checks-OVnlC_T3EpI.mp4 21MB
  149. Part 03-Module 01-Lesson 18_L7 Sampling Distributions/26. Klout-3q0oPuWxFpA.mp4 21MB
  150. Part 11-Module 01-Lesson 13_PCA/28. PCA in sklearn-SBYdqlLgbGk.mp4 21MB
  151. Part 11-Module 01-Lesson 13_PCA/23. PCA for Feature Transformation-8kUPRUEMCA8.mp4 21MB
  152. Part 12-Module 02-Lesson 02_List-Based Collections/11. Queues-XAbzlilAHZw.mp4 21MB
  153. Part 09-Module 01-Lesson 05_Explore Two Variables/10. Overlaying Summaries with Raw Data-O9d9dKyHtIc.mp4 21MB
  154. Part 03-Module 01-Lesson 16_L6 Normal Distribution/15. SD of Karma Points per Post-uCRzrlaA8mg.mp4 21MB
  155. Part 10-Module 01-Lesson 01_Develop Your Personal Brand/02. Elevator Pitch-S-nAHPrkQrQ.mp4 21MB
  156. Part 03-Module 01-Lesson 16_L6 Normal Distribution/19. Between 10 and 16-4QIEdzv6g6w.mp4 21MB
  157. Part 03-Module 01-Lesson 20_L8 Estimation/23. CI Bounds-6MdZ5NUfen0.mp4 21MB
  158. Part 13-Module 01-Lesson 02_D3 Building Blocks/20. How Scales Work-4zqm8dz7Z-k.mp4 20MB
  159. Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/06. Critical Regions-UF3japjNx98.mp4 20MB
  160. Part 13-Module 01-Lesson 02_D3 Building Blocks/31. Layout and Scales-BQWN9ImjUFE.mp4 20MB
  161. Part 14-Module 01-Lesson 04_Designing an Experiment/18. How to Decrease Experiment Size-MLzRdgcFYQQ.mp4 20MB
  162. Part 12-Module 01-Lesson 05_Interview Practice/07. Jimmy's Analysis of the Interview-wg535YU4jFw.mp4 20MB
  163. Part 11-Module 01-Lesson 02_Naive Bayes/18. Gaussian NB Example-wpnDwiqTCJA.mp4 20MB
  164. Part 06-Module 01-Lesson 01_Working with MongoDB/17. Range Queries-6r5Xc-_lhEI.mp4 20MB
  165. Part 15-Module 01-Lesson 03_Creating Visualizations in Tableau/01. What is Tableau-LeCpU8HvVg8.mp4 20MB
  166. Part 19-Module 01-Lesson 03_Data Visualizations in Tableau/01. What is Tableau-LeCpU8HvVg8.mp4 20MB
  167. Part 18-Module 01-Lesson 01_Introduction to Data Wrangling/04. David's Data Wrangling Example-TN-CWy3GK44.mp4 20MB
  168. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/10. Techniques to Gather Additional Data-6mTsvU0ML94.mp4 20MB
  169. Part 14-Module 01-Lesson 04_Designing an Experiment/09. Unit of Analysis vs. Diversion Example-ycbXO4xBEVw.mp4 20MB
  170. Part 11-Module 01-Lesson 05_Choose Your Own Algorithm/10. Welcome to the end of the lesson-nWFJ_eOU27I.mp4 20MB
  171. Part 21-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4 20MB
  172. Part 12-Module 02-Lesson 03_Searching and Sorting/06. Intro to Sorting-Z6yuIen71zM.mp4 20MB
  173. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/23. Nonparametric Answers-Z0QcZHrflmc.mp4 20MB
  174. Part 03-Module 01-Lesson 20_L8 Estimation/19. Engagement Ratio-EdIcXVIYX88.mp4 20MB
  175. Part 03-Module 01-Lesson 20_L8 Estimation/10. 95 CI with Exact Z-Scores-apqUAtnsLZE.mp4 20MB
  176. Part 05-Module 01-Lesson 03_Data in More Complex Formats/17. More Work Than We Thought-vgJ0ZlxzSiw.mp4 20MB
  177. Part 06-Module 01-Lesson 01_Working with MongoDB/02. Data Modeling in MongoDB-6sDkIE_nAGI.mp4 19MB
  178. Part 11-Module 01-Lesson 12_Feature Selection/10. Feature Selection in TfIdf Vectorizer-GdsLRKjjKLw.mp4 19MB
  179. Part 11-Module 01-Lesson 14_Validation/09. K-Fold CV in sklearn-QSYMwFbE7PA.mp4 19MB
  180. Part 03-Module 01-Lesson 08_L3 Central Tendency/14. Helpful Symbols-w4_8YCp-9fI.mp4 19MB
  181. Part 06-Module 01-Lesson 01_Working with MongoDB/26. Updates-mpMHJQalRck.mp4 19MB
  182. Part 11-Module 01-Lesson 04_Decision Trees/33. Bias-Variance Dilemma-W5uUYnSHDhM.mp4 19MB
  183. Part 14-Module 01-Lesson 04_Designing an Experiment/14. Population vs. Cohort Example-MXukXfzL59E.mp4 19MB
  184. Part 18-Module 03-Lesson 01_Assessing Data/16. Quality Programatic Assessment 2 Solution-CWJZoi_Es84.mp4 19MB
  185. Part 14-Module 01-Lesson 05_Analyzing Results/14. Multiple Metrics Example 2-nTeQi9MjgiA.mp4 19MB
  186. Part 21-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.mp4 19MB
  187. Part 09-Module 02-Lesson 01_Explore and Summarize Data/06. Explore And Summarize Data Walkthrough Final-_OwKKL6SI38.mp4 19MB
  188. Part 14-Module 01-Lesson 01_Overview of AB Testing/20. Practical, or Substantive, Significance-Q576t5aaZ34.mp4 19MB
  189. Part 13-Module 01-Lesson 08_Animation and Interaction/07. What is a Projection-QjVNXfI8YRk.mp4 19MB
  190. Part 14-Module 01-Lesson 05_Analyzing Results/08. Single Metric Introduction-StP9L9f70EU.mp4 19MB
  191. Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/06. CSV Format-ra93hy88cok.mp4 19MB
  192. Part 15-Module 01-Lesson 04_Telling Stories with Tableau/03. Digging deeper with Trina-i9xslfFp80g.mp4 19MB
  193. Part 19-Module 01-Lesson 04_Making Dashboards Stories in Tableau/05. Tableau Dashboards Stories with Trina-i9xslfFp80g.mp4 19MB
  194. Part 09-Module 01-Lesson 05_Explore Two Variables/25. Smoothing Conditional Means-hxk2cgdChUw.mp4 19MB
  195. Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/01. t-Distribution-N6wKbV1DVos.mp4 19MB
  196. Part 14-Module 01-Lesson 04_Designing an Experiment/02. Unit of Diversion Overview-Gh32VbXrmdQ.mp4 19MB
  197. Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/07. DF - Sample SD-Jfk3egev9UM.mp4 19MB
  198. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/06. Choosing Metrics-eAukkpVFl5c.mp4 19MB
  199. Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/04. NumPy Arrays-7GeiZ8IVZfE.mp4 19MB
  200. Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/05. NumPy Arrays-7GeiZ8IVZfE.mp4 19MB
  201. Part 13-Module 01-Lesson 02_D3 Building Blocks/04. Load D3 in the JavaScript Console-mGyo6dOf0So.mp4 19MB
  202. Part 14-Module 01-Lesson 05_Analyzing Results/03. Choosing Invariants-E1ePfjcVH3I.mp4 19MB
  203. Part 14-Module 01-Lesson 04_Designing an Experiment/12. Target Population Example-XsyavvSGjLM.mp4 19MB
  204. Part 14-Module 01-Lesson 04_Designing an Experiment/13. Population vs. Cohort-HC2dunMuVW4.mp4 18MB
  205. Part 03-Module 01-Lesson 20_L8 Estimation/17. Find 98 CI-L_JV4fbRAfA.mp4 18MB
  206. Part 21-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.mp4 18MB
  207. Part 12-Module 02-Lesson 01_Introduction and Efficiency/07. Efficiency-I-RASDPbDrI.mp4 18MB
  208. Part 17-Module 01-Lesson 15_Multiple Linear Regression/05. How Does MLR Work-bvM6eUYyurA.mp4 18MB
  209. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/20. Absolute or Relative Difference-TNcT_v2g3OQ.mp4 18MB
  210. Part 12-Module 01-Lesson 02_Practice Behavioral Questions/08. Time When You Dealt With Failure-Qb4o_4hCuyg.mp4 18MB
  211. Part 12-Module 01-Lesson 03_Interview Fails/03. Interviewing Fails Siya Raj Purohit-wYop-N5YgeA.mp4 18MB
  212. Part 09-Module 01-Lesson 03_Explore One Variable/21. Lada's Money Bag Meme-Isa_FGQrvgs.mp4 18MB
  213. Part 14-Module 01-Lesson 05_Analyzing Results/11. Gotchas Simpson’s Paradox-GSPTcqNpab8.mp4 18MB
  214. Part 21-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4 18MB
  215. Part 08-Module 03-Lesson 01_Craft Your Cover Letter/05. Writing the Body-aK9Qnv3a6Wg.mp4 18MB
  216. Part 14-Module 01-Lesson 04_Designing an Experiment/16. Sizing Overview-sKRWt_iS7zo.mp4 18MB
  217. Part 11-Module 01-Lesson 13_PCA/17. Composite Features-spVqFnSvlIU.mp4 18MB
  218. Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/07. Parsing CSV Files-hmhlyOVAVOs.mp4 18MB
  219. Part 14-Module 01-Lesson 01_Overview of AB Testing/06. Other Techniques-KsiyW6bPux8.mp4 18MB
  220. Part 17-Module 01-Lesson 07_Bayes Rule/02. Cancer Test-CNpSrdnYvbo.mp4 18MB
  221. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/11. Other Techniques Example-sOGuF3it6Ek.mp4 18MB
  222. Part 05-Module 01-Lesson 05_Data Quality/07. A Blueprint for Cleaning-3S73cNbhuAk.mp4 18MB
  223. Part 14-Module 01-Lesson 01_Overview of AB Testing/24. How Does Number of Page Views Vary-gfuknvEP2ro.mp4 18MB
  224. Part 01-Module 01-Lesson 01_Nanodegree Orientation/01. Welcome to the DA Nanodegree Program-FKcIJkTA3GI.mp4 18MB
  225. Part 05-Module 01-Lesson 03_Data in More Complex Formats/02. Intro to XML-eIVifBVJQIw.mp4 18MB
  226. Part 11-Module 01-Lesson 11_Text Learning/10. Stemming to Consolidate Vocabulary-gBwGPI0srBE.mp4 18MB
  227. Part 03-Module 01-Lesson 16_L6 Normal Distribution/20. Top 5-tEmdl6zhvgA.mp4 18MB
  228. Part 11-Module 01-Lesson 13_PCA/29. When to Use PCA-hJZHcmJBk1o.mp4 18MB
  229. Part 17-Module 01-Lesson 15_Multiple Linear Regression/17. Multicollinearity VIFs-wbtrXMusDe8.mp4 18MB
  230. Part 13-Module 01-Lesson 01_Visualization Fundamentals/03. Good Data Visualization-ePekYbKs60U.mp4 17MB
  231. Part 10-Module 01-Lesson 01_Develop Your Personal Brand/01. Why Network-exjEm9Paszk.mp4 17MB
  232. Part 21-Module 01-Lesson 03_Control Flow/31. List Comprehensions-6qxo-NV9v_s.mp4 17MB
  233. Part 06-Module 01-Lesson 01_Working with MongoDB/15. Using mongoimport-JVYH9B6Obpg.mp4 17MB
  234. Part 11-Module 01-Lesson 06_Datasets and Questions/04. Downloading Enron Data-TgkBAtaTqJk.mp4 17MB
  235. Part 13-Module 01-Lesson 07_Narrative Structures/11. Personal Data Visualization-NtFICAw7tW4.mp4 17MB
  236. Part 11-Module 01-Lesson 07_Regressions/33. What Data Is Good For Linear Regression-4GBJk6R0pb4.mp4 17MB
  237. Part 17-Module 01-Lesson 15_Multiple Linear Regression/22. Interactions Higher Order Terms-gMHwogzqPOk.mp4 17MB
  238. Part 16-Module 03-Lesson 04_SQL Subqueries Temporary Tables/11. Subquery Solution Video-Y6S3S0LsMrw.mp4 17MB
  239. Part 17-Module 01-Lesson 15_Multiple Linear Regression/06. Interpreting Multiplie Linear Regression Coefficients-qRD3OVX8UMM.mp4 17MB
  240. Part 21-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4 17MB
  241. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/27. Empirical Variability Bootstrapping-YW-uud_btQ8.mp4 17MB
  242. Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/28. Assumptions-CdoWdNAKSYw.mp4 17MB
  243. Part 21-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.mp4 17MB
  244. Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/08. Assessing Data Sensitivity-qgwygpD0eN8.mp4 17MB
  245. Part 03-Module 01-Lesson 20_L8 Estimation/24. Generalize CI-Hb2q-o4ElV4.mp4 17MB
  246. Part 03-Module 01-Lesson 11_L4 Variability/24. Formula for Avg. Abs. Dev.-ihC1Pm8E8gU.mp4 17MB
  247. Part 11-Module 01-Lesson 03_SVM/20. Playing Around with Kernel Choices-krV6r7HxmZU.mp4 17MB
  248. Part 14-Module 01-Lesson 01_Overview of AB Testing/26. Confidence Interval Case Breakdown-6pGDwrJHitw.mp4 17MB
  249. Part 17-Module 01-Lesson 07_Bayes Rule/20. Bayes Rule Summary-RgXQ8GRsjfc.mp4 17MB
  250. Part 21-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.mp4 17MB
  251. Part 11-Module 01-Lesson 12_Feature Selection/15. Regularization-l9V5tlIWTvs.mp4 17MB
  252. Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/15. Finches-ONhDQKYCJlE.mp4 17MB
  253. Part 02-Module 01-Lesson 01_Intro to Research Methods/16. Same Scores-RZPKn5DKB0Q.mp4 17MB
  254. Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/16. Same Scores-RZPKn5DKB0Q.mp4 17MB
  255. Part 12-Module 02-Lesson 08_Technical Interview - Python/02. Clarifying the Question-XvvKBmKC_84.mp4 17MB
  256. Part 05-Module 01-Lesson 03_Data in More Complex Formats/13. Where's the Data-rHQ8z4fIthA.mp4 17MB
  257. Part 08-Module 03-Lesson 01_Craft Your Cover Letter/01. Get an Interview with a Cover Letter!-BH1KY63YfAM.mp4 17MB
  258. Part 11-Module 01-Lesson 11_Text Learning/06. Bag of Words in Sklearn-aCdg-d_476Y.mp4 17MB
  259. Part 14-Module 01-Lesson 01_Overview of AB Testing/13. Binomial Distribution-nXbucNJpP8I.mp4 17MB
  260. Part 06-Module 01-Lesson 03_Analyzing Data/08. Match Operator-FZ8KVv1VOK4.mp4 17MB
  261. Part 10-Module 01-Lesson 01_Develop Your Personal Brand/07. Use Your Elevator Pitch-e-v60ieggSs.mp4 17MB
  262. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/21. Variability-1KmFcGt6Uo0.mp4 17MB
  263. Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/01. Intro-UJyJm79RS88.mp4 17MB
  264. Part 12-Module 02-Lesson 03_Searching and Sorting/11. Efficiency of Merge Sort-HKiK5Y-YSkk.mp4 17MB
  265. Part 14-Module 01-Lesson 04_Designing an Experiment/19. Sizing Triggering-ae9SWJxGM0w.mp4 16MB
  266. Part 03-Module 01-Lesson 04_L2 Visualizing Data/10. Continents-EtWewV65zbs.mp4 16MB
  267. Part 06-Module 01-Lesson 01_Working with MongoDB/19. Exists-j5l5UvE3Odw.mp4 16MB
  268. Part 17-Module 01-Lesson 15_Multiple Linear Regression/08. Dummy Variables--QTgDd-fZuA.mp4 16MB
  269. Part 12-Module 01-Lesson 05_Interview Practice/05. Maximum Difference in an Integer Array-R9AtVBq2Z5E.mp4 16MB
  270. Part 12-Module 01-Lesson 02_Practice Behavioral Questions/04. Time When You Showed Initiative-29mkriaGT0E.mp4 16MB
  271. Part 06-Module 01-Lesson 03_Analyzing Data/02. Twitter Data Set-xiqleK_px_Q.mp4 16MB
  272. Part 11-Module 01-Lesson 14_Validation/03. TrainTest Split in sklearn-lSwvUmZCvco.mp4 16MB
  273. Part 14-Module 01-Lesson 05_Analyzing Results/11. Gotchas Simpson’s Paradox-Tx_jtCfrbt0.mp4 16MB
  274. Part 11-Module 01-Lesson 04_Decision Trees/10. Decision Tree Parameters-jkJ4dbbpVCQ.mp4 16MB
  275. Part 17-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-GeINbOOYkF8.mp4 16MB
  276. Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/09. Questions and Consent-ZmXg42IoG_Q.mp4 16MB
  277. Part 18-Module 02-Lesson 01_Gathering Data/10. HTML Files in Python 1-0VZumC18UvQ.mp4 16MB
  278. Part 21-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.mp4 16MB
  279. Part 13-Module 01-Lesson 08_Animation and Interaction/48. Matt's Tips for Making Maps-HCYCT2TXhAM.mp4 16MB
  280. Part 13-Module 01-Lesson 01_Visualization Fundamentals/05. Slope Graphs-xsdj1qJwgk4.mp4 16MB
  281. Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/06. DF - Marginal Totals-PBcd_dxiFbE.mp4 16MB
  282. Part 14-Module 01-Lesson 01_Overview of AB Testing/15. Calculating a Confidence Interval-HGYW-skXvY4.mp4 16MB
  283. Part 17-Module 01-Lesson 06_Conditional Probability/15. Summary-yepMH9VswI8.mp4 16MB
  284. Part 21-Module 01-Lesson 03_Control Flow/28. Zip and Enumerate-bSJPzVArE7M.mp4 16MB
  285. Part 03-Module 01-Lesson 04_L2 Visualizing Data/15. Different Bin Sizes-_wOXWBZkL58.mp4 16MB
  286. Part 03-Module 01-Lesson 18_L7 Sampling Distributions/31. What Do You Get with a Good Klout Score-7N7MBPJKCfw.mp4 16MB
  287. Part 11-Module 01-Lesson 03_SVM/23. SVM Gamma Parameter-m2a2K4lprQw.mp4 16MB
  288. Part 21-Module 01-Lesson 04_Functions/02. Defining Functions-IP_tJYhynbc.mp4 15MB
  289. Part 03-Module 01-Lesson 03_PS 1b Additional Practice (Optional)/18. 39. SAD-tya_avP-hKc.mp4 15MB
  290. Part 11-Module 01-Lesson 07_Regressions/18. AgeNet Worth Regression in sklearn-5DvUOwA7xhU.mp4 15MB
  291. Part 21-Module 01-Lesson 02_Data Types and Operators/08. Números inteiros e floats-MiJ1vfWp-Ts.mp4 15MB
  292. Part 21-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.mp4 15MB
  293. Part 09-Module 01-Lesson 07_Explore Many Variables/24. Many Variables-okzOTH15r3Y.mp4 15MB
  294. Part 09-Module 01-Lesson 02_R Basics/04. Install RStudio on Windows-5ZbjUEg4a1g.mp4 15MB
  295. Part 11-Module 01-Lesson 15_Evaluation Metrics/03. Shortcomings of Accuracy-9JfaMZcSlQA.mp4 15MB
  296. Part 12-Module 02-Lesson 01_Introduction and Efficiency/01. Course Introduction-NKBUbUiedzc.mp4 15MB
  297. Part 03-Module 01-Lesson 13_L5 Standardizing/17. Z-Score-pftNHu4uevA.mp4 15MB
  298. Part 11-Module 01-Lesson 02_Naive Bayes/36. Naive Bayes Strengths and Weaknesses-nfbKTrufPOs.mp4 15MB
  299. Part 03-Module 01-Lesson 20_L8 Estimation/01. Summary-51hx5u2EMZA.mp4 15MB
  300. Part 18-Module 04-Lesson 01_Cleaning Data/17. Flashforward-rfMu3f9O9hQ.mp4 15MB
  301. Part 13-Module 01-Lesson 04_Design Principles/47. Discovery versus Presentation-znQ3iBhhJtA.mp4 15MB
  302. Part 05-Module 01-Lesson 03_Data in More Complex Formats/22. Scraping Solution-J1gn4ZBLkt4.mp4 15MB
  303. Part 05-Module 01-Lesson 05_Data Quality/17. Consistency-_5AnMdslWg4.mp4 15MB
  304. Part 21-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.mp4 15MB
  305. Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/32. What Happened-NSuT87J4V-g.mp4 15MB
  306. Part 05-Module 01-Lesson 03_Data in More Complex Formats/14. Procedure-6rSJRr9OtHM.mp4 15MB
  307. Part 12-Module 01-Lesson 01_Ace Your Interview/02. Interviewing Conversations-klqXp09Pen4.mp4 15MB
  308. Part 13-Module 01-Lesson 04_Design Principles/22. Encoding Nothing-6bpET1lWVtA.mp4 15MB
  309. Part 17-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-o2Tpws5C2Eg.mp4 15MB
  310. Part 13-Module 01-Lesson 07_Narrative Structures/56. Recap and Data Dependency-00Tz_3_91RU.mp4 15MB
  311. Part 11-Module 01-Lesson 10_Feature Scaling/11. MinMax Scaler in sklearn-lgoh5R05YM0.mp4 15MB
  312. Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/01. Introduction-yod62-mxXR4.mp4 15MB
  313. Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/12. DataFrame apply()-KSZ2XLYk4hk.mp4 15MB
  314. Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/12. DataFrame apply()-KSZ2XLYk4hk.mp4 15MB
  315. Part 02-Module 01-Lesson 01_Intro to Research Methods/34. Katie's Hand-qyyAtT9vgr4.mp4 15MB
  316. Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/34. Katie's Hand-qyyAtT9vgr4.mp4 15MB
  317. Part 12-Module 02-Lesson 03_Searching and Sorting/01. Binary Search-0VN5iwEyq4c.mp4 15MB
  318. Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/16. Mean Number of Shoes-j3RQ-8l2nos.mp4 15MB
  319. Part 03-Module 01-Lesson 18_L7 Sampling Distributions/24. MM CLT-IAVgtiZLlOg.mp4 15MB
  320. Part 11-Module 01-Lesson 01_Welcome to Machine Learning/01. Introduction-ICKBWIkfeJ8.mp4 15MB
  321. Part 12-Module 02-Lesson 03_Searching and Sorting/10. Merge Sort-K916wfSzKxE.mp4 15MB
  322. Part 11-Module 01-Lesson 15_Evaluation Metrics/11. Confusion Matrix for Eigenfaces--VxKwVvrNY0.mp4 15MB
  323. Part 17-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.mp4 15MB
  324. Part 09-Module 01-Lesson 01_What is EDA/01. Data is Ubiquitous-YbVuN2KOlt4.mp4 15MB
  325. Part 06-Module 01-Lesson 01_Working with MongoDB/04. Why MongoDB-jjMw4Ju-1CM.mp4 15MB
  326. Part 09-Module 01-Lesson 07_Explore Many Variables/25. Scatterplot Matrices-w6CLWh1dLCU.mp4 15MB
  327. Part 03-Module 01-Lesson 04_L2 Visualizing Data/26. Interpret Histogram-9piyE5in7YE.mp4 15MB
  328. Part 09-Module 01-Lesson 02_R Basics/07. RStudio Layout-FDSmlIBy7ko.mp4 14MB
  329. Part 17-Module 01-Lesson 15_Multiple Linear Regression/15. Potential Problems-lGwB6YRThbI.mp4 14MB
  330. Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/18. Combining Pandas DataFrames-_Rx9Z-uURQk.mp4 14MB
  331. Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/18. Combining Pandas DataFrames-_Rx9Z-uURQk.mp4 14MB
  332. Part 12-Module 02-Lesson 02_List-Based Collections/09. Stacks Details-HpaVHzDeZC4.mp4 14MB
  333. Part 03-Module 01-Lesson 11_L4 Variability/35. Point of SD-d-_ZKyocTDw.mp4 14MB
  334. Part 08-Module 03-Lesson 01_Craft Your Cover Letter/04. Writing Your Introduction-5S5PH73WLLY.mp4 14MB
  335. Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/29. Decision Errors-4QMqg8izUac.mp4 14MB
  336. Part 13-Module 01-Lesson 07_Narrative Structures/19. Viewer-driven Examples-ft07qc8rTwM.mp4 14MB
  337. Part 13-Module 01-Lesson 07_Narrative Structures/04. The New Journalism-ub1_Gwc6wN8.mp4 14MB
  338. Part 03-Module 01-Lesson 16_L6 Normal Distribution/11. Z-Table-hSAxcGBxbds.mp4 14MB
  339. Part 03-Module 01-Lesson 08_L3 Central Tendency/27. Udacians' Facebook Friends - Mean-ljBJOXJTR9A.mp4 14MB
  340. Part 12-Module 02-Lesson 02_List-Based Collections/05. Linked Lists-zxkpZrozDUk.mp4 14MB
  341. Part 05-Module 01-Lesson 03_Data in More Complex Formats/20. Broken Requests-QFjKVSmxODY.mp4 14MB
  342. Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/30. Rent - Increase n-UUn6ETq08SU.mp4 14MB
  343. Part 13-Module 01-Lesson 01_Visualization Fundamentals/16. Data Types-ZqRIS9etBqY.mp4 14MB
  344. Part 15-Module 01-Lesson 01_Data Visualization Fundamentals/04. Data Types - Data Visualization and D3.js-ZqRIS9etBqY.mp4 14MB
  345. Part 09-Module 01-Lesson 07_Explore Many Variables/17. Introducing the Yogurt Dataset-5J9GxnJVo78.mp4 14MB
  346. Part 13-Module 01-Lesson 07_Narrative Structures/46. Inspecting Data with Functions--itFNdnc5ns.mp4 14MB
  347. Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/41. Types of Designs-IcrYt7Tzccg.mp4 14MB
  348. Part 06-Module 01-Lesson 01_Working with MongoDB/12. Projection Queries-dFGlIC9nI1Q.mp4 14MB
  349. Part 13-Module 01-Lesson 03_Problem Set Visualization Fundamentals/14. What is plot.ly-ZRiAWz-sVlM.mp4 14MB
  350. Part 12-Module 01-Lesson 03_Interview Fails/02. Interviewing Fails Mike Wales-OGXRmzBglI4.mp4 14MB
  351. Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/15. Hypotheses-DepOzUJw_bQ.mp4 14MB
  352. Part 11-Module 01-Lesson 07_Regressions/19. Extracting Information from sklearn-zDIRQE_oxfk.mp4 14MB
  353. Part 14-Module 01-Lesson 05_Analyzing Results/12. Multiple Metrics Introduction-dw0UylGwPe8.mp4 14MB
  354. Part 18-Module 03-Lesson 01_Assessing Data/09. Quality Visual Assessment 1 -XfKc5PtJ7cc.mp4 14MB
  355. Part 13-Module 01-Lesson 04_Design Principles/14. Common and Less Common Charts on plot.ly-V9xxdiwJtWk.mp4 14MB
  356. Part 15-Module 01-Lesson 02_Design Principles/06. Gráficos Comuns e Menos Comuns no plot.ly-V9xxdiwJtWk.mp4 14MB
  357. Part 03-Module 01-Lesson 30_L11 t-Tests, Part 3/23. Pooled Variance Sum of Squares-H-1atcURVzk.mp4 14MB
  358. Part 05-Module 01-Lesson 05_Data Quality/05. Measuring Data Quality-dj46LqDBFYM.mp4 14MB
  359. Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/03. Facebook Experiment-VqLX0wnrldc.mp4 14MB
  360. Part 17-Module 01-Lesson 15_Multiple Linear Regression/02. Multiple Linear Regression-rvYZp99nj6c.mp4 14MB
  361. Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/31. Dependent Samples-kcTh3hJ1XCw.mp4 14MB
  362. Part 13-Module 01-Lesson 01_Visualization Fundamentals/06. Words of Wisdom from Zipfian Academy-ani9_ZalK-8.mp4 14MB
  363. Part 08-Module 01-Lesson 01_Conduct a Job Search/03. Target Your Application to An Employer-X9JBzbrkcvs.mp4 14MB
  364. Part 14-Module 01-Lesson 05_Analyzing Results/05. Checking Invariants-7CVlKQ3UjUI.mp4 14MB
  365. Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/11. Two-Tailed Test-VFS9mGdkU-M.mp4 14MB
  366. Part 13-Module 01-Lesson 01_Visualization Fundamentals/23. The Facebook Offering-ORLP-phGXMU.mp4 14MB
  367. Part 03-Module 01-Lesson 18_L7 Sampling Distributions/24. MM CLT-DqC-pgcEam4.mp4 14MB
  368. Part 03-Module 01-Lesson 18_L7 Sampling Distributions/38. Something Fun-7kOZs5PLtqs.mp4 14MB
  369. Part 18-Module 03-Lesson 01_Assessing Data/03. Dataset Oral Insulin Clinical Trial Data-R-HT78SPxpE.mp4 14MB
  370. Part 18-Module 04-Lesson 01_Cleaning Data/03. Dataset Oral Insulin Clinical Trial Data -R-HT78SPxpE.mp4 14MB
  371. Part 03-Module 01-Lesson 20_L8 Estimation/18. Critical Values of Z-_vKCQnll45c.mp4 14MB
  372. Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/09. Z-Score-1V7JzqCfe9o.mp4 13MB
  373. Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/07. Parsing CSV Files-fo4MJMkwhYU.mp4 13MB
  374. Part 09-Module 01-Lesson 05_Explore Two Variables/17. Moira on Correlation-2vql64jk77I.mp4 13MB
  375. Part 11-Module 01-Lesson 07_Regressions/27. Problem with Minimizing Absolute Errors-U46D7oEijlI.mp4 13MB
  376. Part 11-Module 01-Lesson 02_Naive Bayes/02. Acerous Vs. Non-Acerous-TeFF9wXiFfs.mp4 13MB
  377. Part 17-Module 01-Lesson 15_Multiple Linear Regression/11. Dummy Variable Interpretation-TxP_TD0kbOo.mp4 13MB
  378. Part 11-Module 01-Lesson 12_Feature Selection/13. Overfitting by Eye-sJgPnuiHrs8.mp4 13MB
  379. Part 13-Module 01-Lesson 01_Visualization Fundamentals/18. Visual Encodings-14FJU1kP6-M.mp4 13MB
  380. Part 15-Module 01-Lesson 01_Data Visualization Fundamentals/07. Visual Encodings - Data Visualization and D3.js-14FJU1kP6-M.mp4 13MB
  381. Part 21-Module 01-Lesson 02_Data Types and Operators/25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.mp4 13MB
  382. Part 14-Module 01-Lesson 01_Overview of AB Testing/13. Binomial Distribution-PVTChqpnr5Q.mp4 13MB
  383. Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/02. Tuskegee and Milgram Experiments-mxNp8_3syVk.mp4 13MB
  384. Part 11-Module 01-Lesson 04_Decision Trees/34. DT Strengths and Weaknesses-KGnhg76iRfI.mp4 13MB
  385. Part 21-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.mp4 13MB
  386. Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/13. One-Sample t-Test-IdP9Ps2tHgw.mp4 13MB
  387. Part 11-Module 01-Lesson 13_PCA/20. Maximal Variance and Information Loss-hfmvk8DzTGA.mp4 13MB
  388. Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13MB
  389. Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13MB
  390. Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13MB
  391. Part 21-Module 01-Lesson 03_Control Flow/25. Break and Continue-F6qJAv9ts9Y.mp4 13MB
  392. Part 13-Module 01-Lesson 08_Animation and Interaction/29. Collecting Participating Countries-ha6kGtT9XMQ.mp4 13MB
  393. Part 03-Module 01-Lesson 16_L6 Normal Distribution/17. Less than 5-ONwh_Dcd6j8.mp4 13MB
  394. Part 07-Module 01-Lesson 01_GitHub Review/09. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13MB
  395. Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/18. Mean and SD-0XM5ILuCg1k.mp4 13MB
  396. Part 13-Module 01-Lesson 02_D3 Building Blocks/32. Binding Data-yW9LEMFOzgY.mp4 13MB
  397. Part 04-Module 02-Lesson 03_NumPy and Pandas for 2D Data/08. Calculating Correlation-isBv5D88Nso.mp4 13MB
  398. Part 21-Module 01-Lesson 07_Numpy Pandas - Part II/08. Calculating Correlation-isBv5D88Nso.mp4 13MB
  399. Part 14-Module 01-Lesson 04_Designing an Experiment/12. Target Population Example-kEFp6xIb8cs.mp4 13MB
  400. Part 15-Module 01-Lesson 04_Telling Stories with Tableau/02. Exploring data with Trina-sLzULEjMY1E.mp4 13MB
  401. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/13. Metric Definition Example-1EoJTK_S0mk.mp4 13MB
  402. Part 18-Module 02-Lesson 01_Gathering Data/14. Text Files In Python 1-nDWAZOU3W3U.mp4 13MB
  403. Part 14-Module 01-Lesson 05_Analyzing Results/13. Multiple Metrics Example-0eCWo0h5DpM.mp4 13MB
  404. Part 03-Module 01-Lesson 20_L8 Estimation/06. Interval Estimate for Population Mean-ECRw3cSiy6o.mp4 13MB
  405. Part 09-Module 01-Lesson 09_Diamonds Price Predictions/06. The Rise of Diamonds-MD9RIDRVc-A.mp4 13MB
  406. Part 11-Module 01-Lesson 06_Datasets and Questions/02. What Is A POI-wDQhif-MWuY.mp4 13MB
  407. Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/06. Resume Review-L3F2BFGYMtI.mp4 13MB
  408. Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/06. Resume Review-L3F2BFGYMtI.mp4 13MB
  409. Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/06. Resume Review-L3F2BFGYMtI.mp4 13MB
  410. Part 17-Module 01-Lesson 06_Conditional Probability/13. Two Coins 3-JIWv5fU3GLA.mp4 13MB
  411. Part 14-Module 01-Lesson 01_Overview of AB Testing/22. How Page Views Affect Sensitivity-WFVj8QI_uto.mp4 13MB
  412. Part 21-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.mp4 13MB
  413. Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/08. Darts-fSj1dwh7Kxc.mp4 13MB
  414. Part 04-Module 02-Lesson 01_Data Analysis Process/02. Problems Solved by Data Analysts-jZEbCVZzwUk.mp4 13MB
  415. Part 06-Module 01-Lesson 01_Working with MongoDB/01. Intro to MongoDB-GfK7GW3V-W0.mp4 13MB
  416. Part 13-Module 01-Lesson 01_Visualization Fundamentals/01. What is Data Visualization-mfLklbVU7r0.mp4 13MB
  417. Part 11-Module 01-Lesson 09_Clustering/01. Unsupervised Learning-Mx9f99bRB3Q.mp4 13MB
  418. Part 11-Module 01-Lesson 02_Naive Bayes/31. Bayes Rule for Classification-wPI9WOfpZbM.mp4 13MB
  419. Part 03-Module 01-Lesson 11_L4 Variability/16. Measure Variability-g_V6OCICUUc.mp4 13MB
  420. Part 04-Module 02-Lesson 01_Data Analysis Process/03. Data Analysis Process-cAceF0h4vpI.mp4 13MB
  421. Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 13MB
  422. Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 13MB
  423. Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 13MB
  424. Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/32. What Happened-vD9iXeq3PKc.mp4 13MB
  425. Part 03-Module 01-Lesson 13_L5 Standardizing/18. Negative Z-Score-6kdmc3iTf78.mp4 13MB
  426. Part 17-Module 01-Lesson 09_Normal Distribution Theory/13. Formula Summary-zqo1RJEHT_0.mp4 13MB
  427. Part 09-Module 01-Lesson 07_Explore Many Variables/28. Analyzing Three or More Variables-VUfaXWrr3oY.mp4 13MB
  428. Part 17-Module 01-Lesson 07_Bayes Rule/08. Bayes Rule Diagram-b8M9CWxRyQ4.mp4 13MB
  429. Part 11-Module 01-Lesson 13_PCA/16. Compression While Preserving Information-NjuenhkC-44.mp4 12MB
  430. Part 12-Module 01-Lesson 02_Practice Behavioral Questions/07. What Do You Know About the Company-CcTfHemUvbM.mp4 12MB
  431. Part 03-Module 01-Lesson 18_L7 Sampling Distributions/23. MMs-nCwZE4n4FAs.mp4 12MB
  432. Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/10. Two-Tailed Critical Values 0.05-X5GWgtZEsgc.mp4 12MB
  433. Part 13-Module 01-Lesson 04_Design Principles/19. Pre-attentive Attributes-6UvLbIX0NQ4.mp4 12MB
  434. Part 04-Module 02-Lesson 02_NumPy and Pandas for 1D Data/12. Pandas Series-8zWQmAVPthY.mp4 12MB
  435. Part 21-Module 01-Lesson 06_Numpy Pandas - Part I/13. Pandas Series-8zWQmAVPthY.mp4 12MB
  436. Part 02-Module 01-Lesson 01_Intro to Research Methods/29. Blind-O0zo3-NtBSI.mp4 12MB
  437. Part 03-Module 01-Lesson 01_L1 Intro to Research Methods/29. Blind-O0zo3-NtBSI.mp4 12MB
  438. Part 09-Module 01-Lesson 09_Diamonds Price Predictions/01. Welcome!-KJT4Z0xpHns.mp4 12MB
  439. Part 03-Module 01-Lesson 04_L2 Visualizing Data/11. Number of Rows-mIBKd-JBnXY.mp4 12MB
  440. Part 03-Module 01-Lesson 23_L9 Hypothesis Testing/02. Alpha Levels-pjBOYFAkNME.mp4 12MB
  441. Part 13-Module 01-Lesson 08_Animation and Interaction/13. Thematic Maps-Jw2q-B2kM9k.mp4 12MB
  442. Part 12-Module 02-Lesson 04_Maps and Hashing/04. Introduction to Hashing-8yik3RlDFgM.mp4 12MB
  443. Part 05-Module 01-Lesson 03_Data in More Complex Formats/11. Introducing the Working Example-ax7aaLNZkPA.mp4 12MB
  444. Part 13-Module 01-Lesson 05_Dimple.js/12. Creating and Drawing the Chart-ZyhYNaRqqL0.mp4 12MB
  445. Part 11-Module 01-Lesson 12_Feature Selection/11. Bias, Variance, and Number of Features-OurfO1ZR2GU.mp4 12MB
  446. Part 11-Module 01-Lesson 04_Decision Trees/13. Data Impurity and Entropy-Bd15qhUrKCI.mp4 12MB
  447. Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/03. Resume Structure-POM0MqLTj98.mp4 12MB
  448. Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/03. Resume Structure-POM0MqLTj98.mp4 12MB
  449. Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/03. Resume Structure-POM0MqLTj98.mp4 12MB
  450. Part 13-Module 01-Lesson 07_Narrative Structures/21. Drone Strikes and Gun Deaths-_MXW29cfh_8.mp4 12MB
  451. Part 03-Module 01-Lesson 20_L8 Estimation/26. Rate Engagement and Learning-4hoT_su75AQ.mp4 12MB
  452. Part 11-Module 01-Lesson 10_Feature Scaling/12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.mp4 12MB
  453. Part 14-Module 01-Lesson 02_Policy and Ethics for Experiments/08. Assessing Data Sensitivity-UkGwgerJU44.mp4 12MB
  454. Part 13-Module 01-Lesson 07_Narrative Structures/05. The Difficulty of Data Visualization-xzo96P5BwSI.mp4 12MB
  455. Part 08-Module 01-Lesson 01_Conduct a Job Search/02. Job Search Mindset-cBk7bno3KS0.mp4 12MB
  456. Part 11-Module 01-Lesson 02_Naive Bayes/21. Training and Testing Data-x2dmBUEKQIA.mp4 12MB
  457. Part 11-Module 01-Lesson 07_Regressions/31. R Squared in SKlearn-Dxf1I4IE6co.mp4 12MB
  458. Part 13-Module 01-Lesson 08_Animation and Interaction/05. Lets Make a Map-mOZuq2JoN-k.mp4 12MB
  459. Part 09-Module 01-Lesson 09_Diamonds Price Predictions/08. The Demand of Diamonds-h-YgETh80h4.mp4 12MB
  460. Part 03-Module 01-Lesson 08_L3 Central Tendency/23. Measures of Center-eNoE9hSDxPA.mp4 12MB
  461. Part 12-Module 02-Lesson 03_Searching and Sorting/02. Efficiency of Binary Search-7WbRB7dSyvc.mp4 12MB
  462. Part 03-Module 01-Lesson 20_L8 Estimation/20. Hypothesis Testing Song-ER5AITzr77g.mp4 12MB
  463. Part 17-Module 01-Lesson 12_Hypothesis Testing/27. What If Our Sample Is Large-WoTCeSTL1eM.mp4 12MB
  464. Part 17-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-pOKmt4w8T3g.mp4 12MB
  465. Part 03-Module 01-Lesson 20_L8 Estimation/15. Bigger Sample, Smaller CI-DRarpjC23kc.mp4 12MB
  466. Part 13-Module 01-Lesson 02_D3 Building Blocks/26. Adding and Formatting China's Red Dot-qgTSR_ggTDg.mp4 12MB
  467. Part 11-Module 01-Lesson 07_Regressions/23. Errors and Fit Quality-x-8-2zy8gmI.mp4 12MB
  468. Part 12-Module 02-Lesson 02_List-Based Collections/01. Welcome to Collections-cZORvZq-tI0.mp4 12MB
  469. Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/06. Choosing Metrics-mOH45PzylKk.mp4 12MB
  470. Part 03-Module 01-Lesson 11_L4 Variability/10. IQR-d7J0y_PSP2I.mp4 12MB
  471. Part 11-Module 01-Lesson 14_Validation/04. Where to use training vs. testing data 1-NvgWKf-iBsw.mp4 12MB
  472. Part 13-Module 01-Lesson 07_Narrative Structures/36. Circles with Bound __data__-JeJ_glcExUs.mp4 12MB
  473. Part 03-Module 01-Lesson 20_L8 Estimation/25. Margin of Error-slBW5Neh2cs.mp4 12MB
  474. Part 16-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/15. More on Performance Tuning-ZK1FvNH10Ag.mp4 12MB
  475. Part 11-Module 01-Lesson 12_Feature Selection/16. Lasso Regression-qU1_cj4LfLY.mp4 12MB
  476. Part 11-Module 01-Lesson 13_PCA/38. Selecting Principal Components-IwcoGtFuYSo.mp4 12MB
  477. Part 03-Module 01-Lesson 11_L4 Variability/39. Clarifying Sample SD-iRudjk53deY.mp4 12MB
  478. Part 09-Module 01-Lesson 09_Diamonds Price Predictions/21. Model Problems-MV_e0z9kFjM.mp4 12MB
  479. Part 09-Module 01-Lesson 01_What is EDA/04. Aude's Interest in Data-DDNSMG_RltY.mp4 12MB
  480. Part 09-Module 01-Lesson 05_Explore Two Variables/07. Alpha and Jitter-JqyUT7RbvgI.mp4 12MB
  481. Part 17-Module 01-Lesson 06_Conditional Probability/10. Total Probability-YSYpzFR4k1I.mp4 12MB
  482. Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 12MB
  483. Part 08-Module 02-Lesson 02_Refine Your Career Change Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 12MB
  484. Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 12MB
  485. Part 11-Module 01-Lesson 13_PCA/18. Maximal Variance-tfYAGBIR_Ws.mp4 12MB
  486. Part 14-Module 01-Lesson 01_Overview of AB Testing/04. What You Can and Can't Do with AB Tests-EwV5Vs2m33w.mp4 12MB
  487. Part 11-Module 01-Lesson 10_Feature Scaling/06. Comparing Features with Different Scales-PRL8trOU7Rs.mp4 12MB
  488. Part 03-Module 01-Lesson 20_L8 Estimation/13. CI Range for Larger Sample Size-rS6udGwrN90.mp4 12MB
  489. Part 14-Module 01-Lesson 04_Designing an Experiment/06. Ethical Considerations for Diversion-Zf0XzYNsado.mp4 12MB
  490. Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/22. Find P-Value-TVN4JfSm144.mp4 12MB
  491. Part 17-Module 01-Lesson 12_Hypothesis Testing/09. Types Of Errors - Part II-mbdSQ5CjdFs.mp4 11MB
  492. Part 09-Module 01-Lesson 07_Explore Many Variables/21. Sampling Observations-PsRMReOqccg.mp4 11MB
  493. Part 03-Module 01-Lesson 26_L10a t-Tests, Part 1/11. Bounds of Area-UPRiS4xRnow.mp4 11MB
  494. Part 05-Module 02-Lesson 01_Data and Tables/01. Intro to SQL for Data Analysis-CU4igXr9xTw.mp4 11MB
  495. Part 17-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1-_DjfTytro6I.mp4 11MB
  496. Part 18-Module 02-Lesson 01_Gathering Data/10. HTML Files In Python 2-3caDGTxcoCw.mp4 11MB
  497. Part 18-Module 03-Lesson 01_Assessing Data/12. Data Quality Dimensions 1-5UYGvKDsd-M.mp4 11MB
  498. Part 21-Module 01-Lesson 05_Scripting/20. Importing Files-qjeSn6zZbR0.mp4 11MB
  499. Part 03-Module 01-Lesson 20_L8 Estimation/12. Generalize CI-7JS9PPQ6cN4.mp4 11MB
  500. Part 06-Module 01-Lesson 01_Working with MongoDB/22. in Operator-8iX-7hwKX1Q.mp4 11MB
  501. Part 14-Module 01-Lesson 01_Overview of AB Testing/17. Null and Alternative Hypothesis-QoEqPotgMbA.mp4 11MB
  502. Part 17-Module 01-Lesson 04_Probability/02. Flipping Coins-OpNufHYgJCg.mp4 11MB
  503. Part 17-Module 01-Lesson 15_Multiple Linear Regression/18. Multicollinearity VIFs-uiF3UcDWwPI.mp4 11MB
  504. Part 03-Module 01-Lesson 20_L8 Estimation/30. Z-Scores of Sample Means-BngCW1fjvFk.mp4 11MB
  505. Part 17-Module 01-Lesson 16_Logistic Regression/06. Interpreting Results-UPOxxbKu6CQ.mp4 11MB
  506. Part 03-Module 01-Lesson 13_L5 Standardizing/08. Infinitely Small-9ftDJRsfEUI.mp4 11MB
  507. Part 17-Module 01-Lesson 04_Probability/18. Doubles-fkUyTJNbdzU.mp4 11MB
  508. Part 14-Module 01-Lesson 04_Designing an Experiment/17. Sizing Example-f69Hs7m1axc.mp4 11MB
  509. Part 17-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.mp4 11MB
  510. Part 03-Module 01-Lesson 28_L10b t-Tests, Part 2/12. One-Sample t-Test-QyjjSIvJ_F4.mp4 11MB
  511. Part 17-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-DjsL64Kjr1Q.mp4 11MB
  512. Part 03-Module 01-Lesson 20_L8 Estimation/14. CI When n = 250-mPcWDYTRDs8.mp4 11MB
  513. Part 13-Module 01-Lesson 01_Visualization Fundamentals/02. Defining Data Visualization-TMH43G11OnQ.mp4 11MB
  514. Part 14-Module 01-Lesson 05_Analyzing Results/14. Multiple Metrics Example 2-m0E26ndQBNo.mp4 11MB
  515. Part 14-Module 01-Lesson 04_Designing an Experiment/09. Unit of Analysis vs. Diversion Example-vuu3BY7X9ps.mp4 11MB
  516. Part 05-Module 02-Lesson 05_Deeper into SQL/09. Foreign Keys-fnbLMcd0FGQ.mp4 11MB
  517. Part 13-Module 01-Lesson 04_Design Principles/29. Correcting Color-7vaHp4caWxw.mp4 11MB
  518. Part 11-Module 01-Lesson 11_Text Learning/01. Dimensions when Learning From Text-NXbR9GQbtnk.mp4 11MB
  519. Part 21-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.mp4 11MB
  520. Part 17-Module 01-Lesson 07_Bayes Rule/30. Sebastian At Home-R4zq6mPPMxs.mp4 11MB