589689.xyz

[] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 收录时间:2020-08-18 10:57:18
  • 文件大小:11GB
  • 下载次数:19
  • 最近下载:2021-01-12 15:43:46
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 257MB
  2. 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 212MB
  3. 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 212MB
  4. 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 204MB
  5. 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 196MB
  6. 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 174MB
  7. 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 154MB
  8. 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 150MB
  9. 13. Assessing your model/4. How to build a CAP curve in Excel.mp4 146MB
  10. 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 140MB
  11. 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 135MB
  12. 10. Multiple Linear Regression/7. Backward Elimination - Practice time.mp4 132MB
  13. 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 125MB
  14. 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 125MB
  15. 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 122MB
  16. 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 119MB
  17. 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 119MB
  18. 26. Presenting for Data Scientists/7. How to present to executives.mp4 119MB
  19. 25. Working with people/6. The art of saying No.mp4 118MB
  20. 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 117MB
  21. 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 115MB
  22. 14. Drawing insights from your model/2. Power insights from your CAP.mp4 111MB
  23. 25. Working with people/8. Building a data culture.mp4 111MB
  24. 15. Model maintenance/3. Why do models deteriorate.mp4 109MB
  25. 6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).mp4 107MB
  26. 13. Assessing your model/9. Comparing training performance and test performance.mp4 104MB
  27. 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 101MB
  28. 25. Working with people/5. Go and sit with them.mp4 101MB
  29. 13. Assessing your model/8. Applying the model to test data.mp4 100MB
  30. 6. Advanced Data Mining With Tableau/7. Visualising Balance and Estimated Salary distribution.mp4 99MB
  31. 12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.mp4 96MB
  32. 25. Working with people/2. Cross-departmental Work.mp4 92MB
  33. 22. ETL Phase 3 Data Wrangling after the load/13. Converting data on the fly.mp4 90MB
  34. 12. Building a robust geodemographic segmentation model/2. Get the dataset.mp4 90MB
  35. 22. ETL Phase 3 Data Wrangling after the load/12. Adding leading zeros.mp4 90MB
  36. 5. How to use Tableau for Data Mining/2. Get the Dataset + Project Overview.mp4 89MB
  37. 23. Handling errors during ETL (Phase 3)/7. How to deal with errors using the isdate() function.srt 78MB
  38. 23. Handling errors during ETL (Phase 3)/7. How to deal with errors using the isdate() function.mp4 78MB
  39. 22. ETL Phase 3 Data Wrangling after the load/7. Create table.mp4 77MB
  40. 25. Working with people/4. Setting expectations and pre-project communication.mp4 75MB
  41. 10. Multiple Linear Regression/6. Ways to build a model BACKWARD, FORWARD, STEPWISE.mp4 74MB
  42. 22. ETL Phase 3 Data Wrangling after the load/6. Modifying Stored Procedures.mp4 73MB
  43. 11. Logistic Regression/8. Interpreting coefficients of a logistic regression.mp4 72MB
  44. 23. Handling errors during ETL (Phase 3)/6. How to deal errors using the len() function.mp4 72MB
  45. 20. Handling errors during ETL (Phases 1 & 2)/7. What do you do when your source file is corrupt (Part 2).mp4 71MB
  46. 23. Handling errors during ETL (Phase 3)/5. How to deal with errors using the isnumeric() function.mp4 71MB
  47. 12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.mp4 70MB
  48. 26. Presenting for Data Scientists/3. Analysing the intro.mp4 68MB
  49. 20. Handling errors during ETL (Phases 1 & 2)/5. SSIS Error Text qualifier not specified.mp4 67MB
  50. 4. Introduction to Tableau/8. Adding labels and formatting.mp4 67MB
  51. 26. Presenting for Data Scientists/6. My brainstorming method.mp4 67MB
  52. 20. Handling errors during ETL (Phases 1 & 2)/11. Automating Error Handling in SSIS Conditional Split (Level 2).srt 67MB
  53. 20. Handling errors during ETL (Phases 1 & 2)/11. Automating Error Handling in SSIS Conditional Split (Level 2).mp4 67MB
  54. 12. Building a robust geodemographic segmentation model/6. Transforming independent variables.mp4 65MB
  55. 6. Advanced Data Mining With Tableau/2. Creating bins & Visualizing distributions.mp4 64MB
  56. 6. Advanced Data Mining With Tableau/5. Validating Tableau Data Mining with a Chi-Squared test.mp4 64MB
  57. 20. Handling errors during ETL (Phases 1 & 2)/15. Summary.mp4 63MB
  58. 20. Handling errors during ETL (Phases 1 & 2)/10. Automating Error Handling in SSIS Conditional Split.mp4 63MB
  59. 11. Logistic Regression/4. Logistic regression intuition.mp4 63MB
  60. 11. Logistic Regression/5. Your first logistic regression.mp4 62MB
  61. 23. Handling errors during ETL (Phase 3)/4. Create Stored Proc.mp4 62MB
  62. 21. SQL Programming for Data Science/17. Practicing Joins.mp4 62MB
  63. 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 61MB
  64. 20. Handling errors during ETL (Phases 1 & 2)/13. Due Dilligence the one thing you HAVE to do every time.mp4 61MB
  65. 26. Presenting for Data Scientists/8. The truth is not always pretty.mp4 60MB
  66. 21. SQL Programming for Data Science/6. Using the WHERE clause to filter data.mp4 60MB
  67. 21. SQL Programming for Data Science/9. Order By.mp4 57MB
  68. 20. Handling errors during ETL (Phases 1 & 2)/16. Homework.mp4 57MB
  69. 4. Introduction to Tableau/2. Installing Tableau Desktop and Tableau Public (FREE).mp4 57MB
  70. 13. Assessing your model/6. Get my CAP curve template.mp4 57MB
  71. 25. Working with people/7. Sometimes you have to go to the top.mp4 57MB
  72. 11. Logistic Regression/3. Binary outcome YesNo-Type Business Problems.mp4 56MB
  73. 22. ETL Phase 3 Data Wrangling after the load/9. Check if table exists + drop table + Truncate.srt 55MB
  74. 22. ETL Phase 3 Data Wrangling after the load/9. Check if table exists + drop table + Truncate.mp4 55MB
  75. 4. Introduction to Tableau/9. Exporting your worksheet.mp4 54MB
  76. 5. How to use Tableau for Data Mining/8. Handy trick to validate your approach data.mp4 54MB
  77. 21. SQL Programming for Data Science/5. SELECT Statement.mp4 54MB
  78. 27. Homework Solutions/1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.mp4 53MB
  79. 12. Building a robust geodemographic segmentation model/4. Let's build the model - first iteration.mp4 53MB
  80. 12. Building a robust geodemographic segmentation model/7. Creating derived variables.mp4 53MB
  81. 27. Homework Solutions/7. THANK YOU bonus video.mp4 52MB
  82. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/5. Setting up your database connection and creating a RAW table.mp4 52MB
  83. 10. Multiple Linear Regression/4. Dummy Variables.mp4 52MB
  84. 14. Drawing insights from your model/4. Odds ratio (advanced topic).mp4 51MB
  85. 7. Part 2 Modelling/1. Welcome to Part 2.mp4 50MB
  86. 6. Advanced Data Mining With Tableau/9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).mp4 50MB
  87. 1. Get Excited/1. Welcome to Data Science A-Z™.mp4 49MB
  88. 18. ETL Phase 1 Data Wrangling before the Load/4. Two things you HAVE to do before the load.mp4 48MB
  89. 5. How to use Tableau for Data Mining/7. Looking for anomalies.mp4 48MB
  90. 25. Working with people/3. Come to me with a Business Problem.mp4 47MB
  91. 22. ETL Phase 3 Data Wrangling after the load/15. Archiving Procs.mp4 47MB
  92. 9. Simple Linear Regression/5. Reading Linear Regression Output.mp4 47MB
  93. 21. SQL Programming for Data Science/7. How to use Wildcards Regular Expressions in SQL (% and _).mp4 45MB
  94. 23. Handling errors during ETL (Phase 3)/12. ETL Error Handling Vehicle Service Project.mp4 44MB
  95. 9. Simple Linear Regression/6. Plotting and analysing the graph.mp4 44MB
  96. 12. Building a robust geodemographic segmentation model/10. Model is Ready and Section Recap.mp4 44MB
  97. 10. Multiple Linear Regression/3. Get the dataset.mp4 44MB
  98. 26. Presenting for Data Scientists/9. Passion and the Wow-factor.mp4 44MB
  99. 4. Introduction to Tableau/7. Adding colours.mp4 42MB
  100. 2. What is Data Science/3. Profession of the future.mp4 42MB
  101. 4. Introduction to Tableau/4. Connecting Tableau to a Data file - CSV file.mp4 40MB
  102. 21. SQL Programming for Data Science/13. Working with NULLs.mp4 40MB
  103. 23. Handling errors during ETL (Phase 3)/9. Additional Quality Assurance check ZipCode.mp4 39MB
  104. 13. Assessing your model/5. Assessing your model using the CAP curve.mp4 39MB
  105. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/4. Setting up your flat file source connection.mp4 39MB
  106. 27. Homework Solutions/2. Advanced Data Mining with Tableau Chi-Squared Test for Country.mp4 38MB
  107. 4. Introduction to Tableau/5. Navigating Tableau - Measures and Dimensions.mp4 38MB
  108. 13. Assessing your model/3. Cumulative Accuracy Profile (CAP).mp4 38MB
  109. 20. Handling errors during ETL (Phases 1 & 2)/9. Handy trick for finding anomalies in SQL.mp4 38MB
  110. 4. Introduction to Tableau/6. Creating a calculated field.mp4 37MB
  111. 21. SQL Programming for Data Science/12. Using Cast() vs Convert().mp4 37MB
  112. 26. Presenting for Data Scientists/1. Intro (what you will learn in this section).mp4 37MB
  113. 23. Handling errors during ETL (Phase 3)/11. Part Completed.mp4 36MB
  114. 11. Logistic Regression/1. Intro (what you will learn in this section).mp4 35MB
  115. 23. Handling errors during ETL (Phase 3)/8. Additional Quality Assurance check Balance.mp4 33MB
  116. 11. Logistic Regression/6. False Positives and False Negatives.mp4 33MB
  117. 5. How to use Tableau for Data Mining/6. Adding a Reference Line.mp4 33MB
  118. 16. Part 3 Data Preparation/1. Welcome to Part 3.mp4 33MB
  119. 21. SQL Programming for Data Science/11. Implicit Data Conversion in SQL.mp4 33MB
  120. 17. Business Intelligence (BI) Tools/8. Installing SSDT with MSVS Shell.mp4 31MB
  121. 23. Handling errors during ETL (Phase 3)/10. Additional Quality Assurance check Birthday.mp4 30MB
  122. 3. Part 1 Visualisation/1. Welcome to Part 1.mp4 30MB
  123. 22. ETL Phase 3 Data Wrangling after the load/4. Create your first Stored Proc in SQL.mp4 30MB
  124. 15. Model maintenance/2. What does model deterioration look like.mp4 30MB
  125. 22. ETL Phase 3 Data Wrangling after the load/14. How to create a proc template.mp4 30MB
  126. 6. Advanced Data Mining With Tableau/3. Creating a classification test for a numeric variable.mp4 30MB
  127. 5. How to use Tableau for Data Mining/3. Connecting Tableau to an Excel File.mp4 30MB
  128. 15. Model maintenance/4. Three levels of maintenance for deployed models.mp4 29MB
  129. 5. How to use Tableau for Data Mining/4. How to visualise an AB test in Tableau.mp4 29MB
  130. 2. What is Data Science/4. Areas of Data Science.mp4 28MB
  131. 10. Multiple Linear Regression/1. Intro (what you will learn in this section).mp4 28MB
  132. 2. What is Data Science/5. IMPORTANT Course Pathways.mp4 27MB
  133. 6. Advanced Data Mining With Tableau/4. Combining two charts and working with them in Tableau.mp4 27MB
  134. 12. Building a robust geodemographic segmentation model/3. What is geo-demographic segmenation.mp4 27MB
  135. 6. Advanced Data Mining With Tableau/10. Section Recap.mp4 27MB
  136. 14. Drawing insights from your model/5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).mp4 27MB
  137. 9. Simple Linear Regression/3. Get the dataset.mp4 27MB
  138. 4. Introduction to Tableau/3. Challenge description + view data in file.mp4 26MB
  139. 21. SQL Programming for Data Science/14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.mp4 26MB
  140. 21. SQL Programming for Data Science/16. Joining on multiple fields.mp4 26MB
  141. 5. How to use Tableau for Data Mining/5. Working with Aliases.mp4 25MB
  142. 9. Simple Linear Regression/2. Introduction to Gretl.mp4 24MB
  143. 11. Logistic Regression/2. Get the dataset.mp4 24MB
  144. 9. Simple Linear Regression/4. Import data and run descriptive statistics.mp4 23MB
  145. 17. Business Intelligence (BI) Tools/5. Important Practice Database.mp4 23MB
  146. 10. Multiple Linear Regression/10. Section Recap.mp4 23MB
  147. 22. ETL Phase 3 Data Wrangling after the load/8. Insert INTO.mp4 23MB
  148. 12. Building a robust geodemographic segmentation model/1. Intro (what you will learn in this section).mp4 22MB
  149. 21. SQL Programming for Data Science/10. Data Types in SQL.mp4 22MB
  150. 26. Presenting for Data Scientists/2. Case study.mp4 22MB
  151. 5. How to use Tableau for Data Mining/9. Section Recap.mp4 22MB
  152. 13. Assessing your model/7. How to use test data to prevent overfitting your model.mp4 22MB
  153. 22. ETL Phase 3 Data Wrangling after the load/5. Executing Stored Procedures.mp4 22MB
  154. 21. SQL Programming for Data Science/8. Comments in SQL.mp4 22MB
  155. 6. Advanced Data Mining With Tableau/6. Chi-Squared test when there is more than 2 categories.mp4 21MB
  156. 22. ETL Phase 3 Data Wrangling after the load/1. Intro (what you will learn in this section).mp4 21MB
  157. 2. What is Data Science/2. Updates on Udemy Reviews.mp4 20MB
  158. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/7. Due Dilligence Upload Quality Assurance.mp4 20MB
  159. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/6. Run the Upload & Disable.mp4 20MB
  160. 17. Business Intelligence (BI) Tools/4. Setting up Microsoft SQL Server 2014 for practice.mp4 20MB
  161. 22. ETL Phase 3 Data Wrangling after the load/2. RAW, WRK, DRV tables.mp4 20MB
  162. 23. Handling errors during ETL (Phase 3)/1. Intro (what you will learn in this section).mp4 19MB
  163. 17. Business Intelligence (BI) Tools/3. What is a Data Warehouse What is a Database.mp4 19MB
  164. 20. Handling errors during ETL (Phases 1 & 2)/1. Intro (what you will learn in this section).mp4 19MB
  165. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/1. Intro (what you will learn in this section).mp4 19MB
  166. 8. Stats Refresher/2. Types of variables Categorical vs Numeric.mp4 18MB
  167. 18. ETL Phase 1 Data Wrangling before the Load/1. Intro (what you will learn in this section).mp4 18MB
  168. 14. Drawing insights from your model/3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).mp4 17MB
  169. 13. Assessing your model/10. Section Recap.mp4 17MB
  170. 6. Advanced Data Mining With Tableau/1. Intro (what you will learn in this section).mp4 16MB
  171. 25. Working with people/1. Intro (what you will learn in this section).mp4 16MB
  172. 4. Introduction to Tableau/10. Section Recap.mp4 16MB
  173. 10. Multiple Linear Regression/5. Dummy Variable Trap.mp4 16MB
  174. 5. How to use Tableau for Data Mining/1. Intro (what you will learn in this section).mp4 16MB
  175. 11. Logistic Regression/7. Confusion Matrix.mp4 16MB
  176. 18. ETL Phase 1 Data Wrangling before the Load/6. Editpad Lite.mp4 16MB
  177. 24. Part 4 Communication/1. Welcome to Part 4.mp4 15MB
  178. 22. ETL Phase 3 Data Wrangling after the load/10. Intermediate Recap - Procs.mp4 14MB
  179. 17. Business Intelligence (BI) Tools/7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .mp4 14MB
  180. 8. Stats Refresher/6. Adjusted R-squared.mp4 14MB
  181. 21. SQL Programming for Data Science/4. Shortcut to upload the data.mp4 14MB
  182. 15. Model maintenance/1. Intro (what you will learn in this section).mp4 14MB
  183. 9. Simple Linear Regression/1. Intro (what you will learn in this section).mp4 14MB
  184. 14. Drawing insights from your model/7. Section Recap.mp4 13MB
  185. 13. Assessing your model/1. Intro (what you will learn in this section).mp4 13MB
  186. 14. Drawing insights from your model/1. Intro (what you will learn in this section).mp4 12MB
  187. 20. Handling errors during ETL (Phases 1 & 2)/14. Types of Errors in SSIS.mp4 12MB
  188. 21. SQL Programming for Data Science/15. Joins with duplicate values.mp4 12MB
  189. 21. SQL Programming for Data Science/1. Intro (what you will learn in this section).mp4 11MB
  190. 21. SQL Programming for Data Science/3. Getting To Know MS SQL Management Studio.mp4 11MB
  191. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/3. Creating a flat file source task and OLE DB destination.mp4 11MB
  192. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/2. Starting and navigating an SSIS Project.mp4 11MB
  193. 8. Stats Refresher/1. Intro (what you will learn in this section).mp4 11MB
  194. 8. Stats Refresher/3. Types of regressions.mp4 10MB
  195. 4. Introduction to Tableau/1. Intro (what you will learn in this section).mp4 10MB
  196. 18. ETL Phase 1 Data Wrangling before the Load/2. Preparing your folder structure for your Data Science project.mp4 10MB
  197. 13. Assessing your model/2. Accuracy paradox.mp4 8MB
  198. 17. Business Intelligence (BI) Tools/1. Intro (what you will learn in this section).mp4 8MB
  199. 2. What is Data Science/1. Intro (what you will learn in this section).mp4 8MB
  200. 18. ETL Phase 1 Data Wrangling before the Load/3. Download the dataset for this section.mp4 7MB
  201. 18. ETL Phase 1 Data Wrangling before the Load/5. Notepad ++.mp4 7MB
  202. 22. ETL Phase 3 Data Wrangling after the load/3. Download the dataset for this section.mp4 7MB
  203. 8. Stats Refresher/5. R-squared.mp4 7MB
  204. 17. Business Intelligence (BI) Tools/6. ETL for Data Science - what is Extract Transform Load (ETL).mp4 6MB
  205. 10. Multiple Linear Regression/2. Caveat assumptions of a linear regression.mp4 6MB
  206. 15. Model maintenance/5. Section Recap.mp4 6MB
  207. 6. Advanced Data Mining With Tableau/11. Part Completed.mp4 5MB
  208. 20. Handling errors during ETL (Phases 1 & 2)/2. Download the dataset for this section.mp4 5MB
  209. 8. Stats Refresher/4. Ordinary Least Squares.mp4 4MB
  210. 17. Business Intelligence (BI) Tools/2. Working with Data.mp4 4MB
  211. 21. SQL Programming for Data Science/2. Download the dataset for this section.mp4 4MB
  212. 23. Handling errors during ETL (Phase 3)/2. Download the dataset for this section.mp4 4MB
  213. 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).srt 29KB
  214. 6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).srt 29KB
  215. 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).srt 28KB
  216. 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.srt 28KB
  217. 20. Handling errors during ETL (Phases 1 & 2)/15. Summary.srt 27KB
  218. 11. Logistic Regression/4. Logistic regression intuition.srt 25KB
  219. 10. Multiple Linear Regression/7. Backward Elimination - Practice time.srt 25KB
  220. 15. Model maintenance/3. Why do models deteriorate.srt 25KB
  221. 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.srt 24KB
  222. 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).srt 24KB
  223. 10. Multiple Linear Regression/6. Ways to build a model BACKWARD, FORWARD, STEPWISE.srt 24KB
  224. 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.srt 24KB
  225. 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.srt 23KB
  226. 13. Assessing your model/4. How to build a CAP curve in Excel.srt 22KB
  227. 14. Drawing insights from your model/2. Power insights from your CAP.srt 21KB
  228. 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).srt 21KB
  229. 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].srt 20KB
  230. 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.srt 19KB
  231. 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).srt 18KB
  232. 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.srt 17KB
  233. 6. Advanced Data Mining With Tableau/7. Visualising Balance and Estimated Salary distribution.srt 17KB
  234. 13. Assessing your model/9. Comparing training performance and test performance.srt 17KB
  235. 26. Presenting for Data Scientists/4. Intro dissection - recap.srt 16KB
  236. 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.srt 16KB
  237. 13. Assessing your model/3. Cumulative Accuracy Profile (CAP).srt 16KB
  238. 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.srt 16KB
  239. 4. Introduction to Tableau/8. Adding labels and formatting.srt 15KB
  240. 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.srt 15KB
  241. 6. Advanced Data Mining With Tableau/5. Validating Tableau Data Mining with a Chi-Squared test.srt 15KB
  242. 22. ETL Phase 3 Data Wrangling after the load/13. Converting data on the fly.srt 15KB
  243. 12. Building a robust geodemographic segmentation model/6. Transforming independent variables.srt 15KB
  244. 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).srt 15KB
  245. 8. Stats Refresher/6. Adjusted R-squared.srt 14KB
  246. 22. ETL Phase 3 Data Wrangling after the load/7. Create table.srt 14KB
  247. 6. Advanced Data Mining With Tableau/9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).srt 14KB
  248. 11. Logistic Regression/8. Interpreting coefficients of a logistic regression.srt 14KB
  249. 17. Business Intelligence (BI) Tools/5. Important Practice Database.srt 14KB
  250. 6. Advanced Data Mining With Tableau/2. Creating bins & Visualizing distributions.srt 14KB
  251. 23. Handling errors during ETL (Phase 3)/11. Part Completed.srt 14KB
  252. 11. Logistic Regression/3. Binary outcome YesNo-Type Business Problems.srt 13KB
  253. 6. Advanced Data Mining With Tableau/4. Combining two charts and working with them in Tableau.srt 13KB
  254. 5. How to use Tableau for Data Mining/8. Handy trick to validate your approach data.srt 13KB
  255. 5. How to use Tableau for Data Mining/7. Looking for anomalies.srt 13KB
  256. 14. Drawing insights from your model/4. Odds ratio (advanced topic).srt 13KB
  257. 22. ETL Phase 3 Data Wrangling after the load/6. Modifying Stored Procedures.srt 13KB
  258. 12. Building a robust geodemographic segmentation model/4. Let's build the model - first iteration.srt 13KB
  259. 4. Introduction to Tableau/5. Navigating Tableau - Measures and Dimensions.srt 12KB
  260. 15. Model maintenance/4. Three levels of maintenance for deployed models.srt 12KB
  261. 8. Stats Refresher/3. Types of regressions.srt 12KB
  262. 10. Multiple Linear Regression/4. Dummy Variables.srt 12KB
  263. 6. Advanced Data Mining With Tableau/6. Chi-Squared test when there is more than 2 categories.srt 12KB
  264. 20. Handling errors during ETL (Phases 1 & 2)/10. Automating Error Handling in SSIS Conditional Split.srt 12KB
  265. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/5. Setting up your database connection and creating a RAW table.srt 12KB
  266. 17. Business Intelligence (BI) Tools/4. Setting up Microsoft SQL Server 2014 for practice.srt 12KB
  267. 11. Logistic Regression/5. Your first logistic regression.srt 12KB
  268. 12. Building a robust geodemographic segmentation model/2. Get the dataset.srt 12KB
  269. 12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.srt 12KB
  270. 11. Logistic Regression/6. False Positives and False Negatives.srt 12KB
  271. 12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.srt 11KB
  272. 22. ETL Phase 3 Data Wrangling after the load/12. Adding leading zeros.srt 11KB
  273. 5. How to use Tableau for Data Mining/2. Get the Dataset + Project Overview.srt 11KB
  274. 4. Introduction to Tableau/7. Adding colours.srt 11KB
  275. 23. Handling errors during ETL (Phase 3)/12. ETL Error Handling Vehicle Service Project.srt 11KB
  276. 23. Handling errors during ETL (Phase 3)/5. How to deal with errors using the isnumeric() function.srt 11KB
  277. 21. SQL Programming for Data Science/10. Data Types in SQL.srt 11KB
  278. 23. Handling errors during ETL (Phase 3)/6. How to deal errors using the len() function.srt 11KB
  279. 13. Assessing your model/8. Applying the model to test data.srt 11KB
  280. 4. Introduction to Tableau/9. Exporting your worksheet.srt 11KB
  281. 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.srt 11KB
  282. 14. Drawing insights from your model/5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).srt 11KB
  283. 22. ETL Phase 3 Data Wrangling after the load/14. How to create a proc template.srt 10KB
  284. 13. Assessing your model/5. Assessing your model using the CAP curve.srt 10KB
  285. 2. What is Data Science/3. Profession of the future.srt 10KB
  286. 13. Assessing your model/6. Get my CAP curve template.srt 10KB
  287. 20. Handling errors during ETL (Phases 1 & 2)/5. SSIS Error Text qualifier not specified.srt 10KB
  288. 4. Introduction to Tableau/2. Installing Tableau Desktop and Tableau Public (FREE).srt 10KB
  289. 9. Simple Linear Regression/5. Reading Linear Regression Output.srt 10KB
  290. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/4. Setting up your flat file source connection.srt 10KB
  291. 21. SQL Programming for Data Science/14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.srt 10KB
  292. 2. What is Data Science/4. Areas of Data Science.srt 10KB
  293. 5. How to use Tableau for Data Mining/4. How to visualise an AB test in Tableau.srt 9KB
  294. 12. Building a robust geodemographic segmentation model/10. Model is Ready and Section Recap.srt 9KB
  295. 20. Handling errors during ETL (Phases 1 & 2)/7. What do you do when your source file is corrupt (Part 2).srt 9KB
  296. 26. Presenting for Data Scientists/7. How to present to executives.srt 9KB
  297. 4. Introduction to Tableau/6. Creating a calculated field.srt 9KB
  298. 25. Working with people/6. The art of saying No.srt 9KB
  299. 2. What is Data Science/5. IMPORTANT Course Pathways.srt 9KB
  300. 22. ETL Phase 3 Data Wrangling after the load/8. Insert INTO.srt 9KB
  301. 21. SQL Programming for Data Science/5. SELECT Statement.srt 9KB
  302. 22. ETL Phase 3 Data Wrangling after the load/2. RAW, WRK, DRV tables.srt 9KB
  303. 27. Homework Solutions/1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.srt 9KB
  304. 12. Building a robust geodemographic segmentation model/7. Creating derived variables.srt 9KB
  305. 6. Advanced Data Mining With Tableau/10. Section Recap.srt 8KB
  306. 25. Working with people/5. Go and sit with them.srt 8KB
  307. 4. Introduction to Tableau/4. Connecting Tableau to a Data file - CSV file.srt 8KB
  308. 21. SQL Programming for Data Science/9. Order By.srt 8KB
  309. 21. SQL Programming for Data Science/6. Using the WHERE clause to filter data.srt 8KB
  310. 5. How to use Tableau for Data Mining/9. Section Recap.srt 8KB
  311. 21. SQL Programming for Data Science/16. Joining on multiple fields.srt 8KB
  312. 12. Building a robust geodemographic segmentation model/3. What is geo-demographic segmenation.srt 8KB
  313. 8. Stats Refresher/2. Types of variables Categorical vs Numeric.srt 8KB
  314. 5. How to use Tableau for Data Mining/6. Adding a Reference Line.srt 7KB
  315. 1. Get Excited/1. Welcome to Data Science A-Z™.srt 7KB
  316. 11. Logistic Regression/7. Confusion Matrix.srt 7KB
  317. 25. Working with people/8. Building a data culture.srt 7KB
  318. 8. Stats Refresher/5. R-squared.srt 7KB
  319. 18. ETL Phase 1 Data Wrangling before the Load/4. Two things you HAVE to do before the load.srt 7KB
  320. 21. SQL Programming for Data Science/13. Working with NULLs.srt 7KB
  321. 22. ETL Phase 3 Data Wrangling after the load/15. Archiving Procs.srt 7KB
  322. 20. Handling errors during ETL (Phases 1 & 2)/13. Due Dilligence the one thing you HAVE to do every time.srt 7KB
  323. 23. Handling errors during ETL (Phase 3)/4. Create Stored Proc.srt 7KB
  324. 21. SQL Programming for Data Science/17. Practicing Joins.srt 7KB
  325. 10. Multiple Linear Regression/10. Section Recap.srt 7KB
  326. 15. Model maintenance/2. What does model deterioration look like.srt 7KB
  327. 21. SQL Programming for Data Science/7. How to use Wildcards Regular Expressions in SQL (% and _).srt 6KB
  328. 10. Multiple Linear Regression/3. Get the dataset.srt 6KB
  329. 25. Working with people/2. Cross-departmental Work.srt 6KB
  330. 6. Advanced Data Mining With Tableau/3. Creating a classification test for a numeric variable.srt 6KB
  331. 9. Simple Linear Regression/6. Plotting and analysing the graph.srt 6KB
  332. 17. Business Intelligence (BI) Tools/8. Installing SSDT with MSVS Shell.srt 6KB
  333. 21. SQL Programming for Data Science/4. Shortcut to upload the data.srt 6KB
  334. 27. Homework Solutions/2. Advanced Data Mining with Tableau Chi-Squared Test for Country.srt 6KB
  335. 5. How to use Tableau for Data Mining/3. Connecting Tableau to an Excel File.srt 6KB
  336. 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.srt 6KB
  337. 9. Simple Linear Regression/4. Import data and run descriptive statistics.srt 6KB
  338. 22. ETL Phase 3 Data Wrangling after the load/10. Intermediate Recap - Procs.srt 6KB
  339. 5. How to use Tableau for Data Mining/5. Working with Aliases.srt 6KB
  340. 17. Business Intelligence (BI) Tools/7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .srt 6KB
  341. 14. Drawing insights from your model/3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).srt 6KB
  342. 7. Part 2 Modelling/1. Welcome to Part 2.srt 6KB
  343. 20. Handling errors during ETL (Phases 1 & 2)/9. Handy trick for finding anomalies in SQL.srt 6KB
  344. 9. Simple Linear Regression/3. Get the dataset.srt 6KB
  345. 11. Logistic Regression/2. Get the dataset.srt 6KB
  346. 23. Handling errors during ETL (Phase 3)/8. Additional Quality Assurance check Balance.srt 6KB
  347. 20. Handling errors during ETL (Phases 1 & 2)/16. Homework.srt 6KB
  348. 4. Introduction to Tableau/10. Section Recap.srt 5KB
  349. 13. Assessing your model/7. How to use test data to prevent overfitting your model.srt 5KB
  350. 25. Working with people/4. Setting expectations and pre-project communication.srt 5KB
  351. 23. Handling errors during ETL (Phase 3)/10. Additional Quality Assurance check Birthday.srt 5KB
  352. 20. Handling errors during ETL (Phases 1 & 2)/14. Types of Errors in SSIS.srt 5KB
  353. 13. Assessing your model/10. Section Recap.srt 5KB
  354. 17. Business Intelligence (BI) Tools/3. What is a Data Warehouse What is a Database.srt 5KB
  355. 21. SQL Programming for Data Science/11. Implicit Data Conversion in SQL.srt 5KB
  356. 21. SQL Programming for Data Science/12. Using Cast() vs Convert().srt 5KB
  357. 26. Presenting for Data Scientists/6. My brainstorming method.srt 5KB
  358. 22. ETL Phase 3 Data Wrangling after the load/4. Create your first Stored Proc in SQL.srt 5KB
  359. 14. Drawing insights from your model/7. Section Recap.srt 5KB
  360. 26. Presenting for Data Scientists/8. The truth is not always pretty.srt 5KB
  361. 23. Handling errors during ETL (Phase 3)/9. Additional Quality Assurance check ZipCode.srt 4KB
  362. 8. Stats Refresher/4. Ordinary Least Squares.srt 4KB
  363. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/6. Run the Upload & Disable.srt 4KB
  364. 25. Working with people/7. Sometimes you have to go to the top.srt 4KB
  365. 22. ETL Phase 3 Data Wrangling after the load/5. Executing Stored Procedures.srt 4KB
  366. 9. Simple Linear Regression/2. Introduction to Gretl.srt 4KB
  367. 28. Bonus Lectures/1. YOUR SPECIAL BONUS.html 4KB
  368. 16. Part 3 Data Preparation/1. Welcome to Part 3.srt 4KB
  369. 21. SQL Programming for Data Science/8. Comments in SQL.srt 4KB
  370. 21. SQL Programming for Data Science/15. Joins with duplicate values.srt 4KB
  371. 18. ETL Phase 1 Data Wrangling before the Load/2. Preparing your folder structure for your Data Science project.srt 4KB
  372. 10. Multiple Linear Regression/5. Dummy Variable Trap.srt 4KB
  373. 4. Introduction to Tableau/3. Challenge description + view data in file.srt 3KB
  374. 25. Working with people/3. Come to me with a Business Problem.srt 3KB
  375. 26. Presenting for Data Scientists/9. Passion and the Wow-factor.srt 3KB
  376. 13. Assessing your model/2. Accuracy paradox.srt 3KB
  377. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/7. Due Dilligence Upload Quality Assurance.srt 3KB
  378. 21. SQL Programming for Data Science/3. Getting To Know MS SQL Management Studio.srt 3KB
  379. 26. Presenting for Data Scientists/2. Case study.srt 3KB
  380. 17. Business Intelligence (BI) Tools/6. ETL for Data Science - what is Extract Transform Load (ETL).srt 3KB
  381. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/2. Starting and navigating an SSIS Project.srt 3KB
  382. 3. Part 1 Visualisation/1. Welcome to Part 1.srt 3KB
  383. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/3. Creating a flat file source task and OLE DB destination.srt 3KB
  384. 10. Multiple Linear Regression/2. Caveat assumptions of a linear regression.srt 3KB
  385. 26. Presenting for Data Scientists/3. Analysing the intro.srt 3KB
  386. 11. Logistic Regression/1. Intro (what you will learn in this section).srt 3KB
  387. 15. Model maintenance/5. Section Recap.srt 3KB
  388. 6. Advanced Data Mining With Tableau/11. Part Completed.srt 3KB
  389. 26. Presenting for Data Scientists/1. Intro (what you will learn in this section).srt 2KB
  390. 27. Homework Solutions/7. THANK YOU bonus video.srt 2KB
  391. 1. Get Excited/2. BONUS Learning Paths.html 2KB
  392. 22. ETL Phase 3 Data Wrangling after the load/3. Download the dataset for this section.srt 2KB
  393. 18. ETL Phase 1 Data Wrangling before the Load/3. Download the dataset for this section.srt 2KB
  394. 24. Part 4 Communication/1. Welcome to Part 4.srt 2KB
  395. 10. Multiple Linear Regression/1. Intro (what you will learn in this section).srt 2KB
  396. 2. What is Data Science/2. Updates on Udemy Reviews.srt 2KB
  397. 12. Building a robust geodemographic segmentation model/1. Intro (what you will learn in this section).srt 2KB
  398. 18. ETL Phase 1 Data Wrangling before the Load/6. Editpad Lite.srt 2KB
  399. 17. Business Intelligence (BI) Tools/2. Working with Data.srt 2KB
  400. 22. ETL Phase 3 Data Wrangling after the load/1. Intro (what you will learn in this section).srt 2KB
  401. 23. Handling errors during ETL (Phase 3)/1. Intro (what you will learn in this section).srt 2KB
  402. 18. ETL Phase 1 Data Wrangling before the Load/5. Notepad ++.srt 1KB
  403. 18. ETL Phase 1 Data Wrangling before the Load/1. Intro (what you will learn in this section).srt 1KB
  404. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/1. Intro (what you will learn in this section).srt 1KB
  405. 20. Handling errors during ETL (Phases 1 & 2)/1. Intro (what you will learn in this section).srt 1KB
  406. 2. What is Data Science/1. Intro (what you will learn in this section).srt 1KB
  407. 5. How to use Tableau for Data Mining/1. Intro (what you will learn in this section).srt 1KB
  408. 23. Handling errors during ETL (Phase 3)/2. Download the dataset for this section.srt 1KB
  409. 25. Working with people/1. Intro (what you will learn in this section).srt 1KB
  410. 6. Advanced Data Mining With Tableau/1. Intro (what you will learn in this section).srt 1KB
  411. 13. Assessing your model/1. Intro (what you will learn in this section).srt 1KB
  412. 15. Model maintenance/1. Intro (what you will learn in this section).srt 1KB
  413. 21. SQL Programming for Data Science/1. Intro (what you will learn in this section).srt 1KB
  414. 9. Simple Linear Regression/1. Intro (what you will learn in this section).srt 1KB
  415. 21. SQL Programming for Data Science/2. Download the dataset for this section.srt 1002B
  416. 20. Handling errors during ETL (Phases 1 & 2)/2. Download the dataset for this section.srt 987B
  417. Readme.txt 962B
  418. 14. Drawing insights from your model/1. Intro (what you will learn in this section).srt 944B
  419. 4. Introduction to Tableau/1. Intro (what you will learn in this section).srt 895B
  420. 8. Stats Refresher/1. Intro (what you will learn in this section).srt 860B
  421. 17. Business Intelligence (BI) Tools/1. Intro (what you will learn in this section).srt 653B
  422. 26. Presenting for Data Scientists/11. Bonus links to other examples of good storytelling.html 609B
  423. 2. What is Data Science/6. Some Additional Resources!!.html 602B
  424. 4. Introduction to Tableau/11. Tableau Basics.html 121B
  425. [GigaCourse.com].url 49B