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

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DesireCourse Net Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

文件列表
  1. 1. Get Excited/1. Welcome to Data Science A-Z™.mp422.83MB
  2. 10. Multiple Linear Regression/1. Intro (what you will learn in this section).mp418.53MB
  3. 10. Multiple Linear Regression/10. Section Recap.mp412.08MB
  4. 10. Multiple Linear Regression/2. Caveat assumptions of a linear regression.mp43.36MB
  5. 10. Multiple Linear Regression/3. Get the dataset.mp410.2MB
  6. 10. Multiple Linear Regression/4. Dummy Variables.mp429.87MB
  7. 10. Multiple Linear Regression/5. Dummy Variable Trap.mp49.02MB
  8. 10. Multiple Linear Regression/6. Ways to build a model BACKWARD, FORWARD, STEPWISE.mp421.92MB
  9. 10. Multiple Linear Regression/7. Backward Elimination - Practice time.mp432MB
  10. 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp466.18MB
  11. 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp463.32MB
  12. 11. Logistic Regression/1. Intro (what you will learn in this section).mp425.26MB
  13. 11. Logistic Regression/2. Get the dataset.mp47.05MB
  14. 11. Logistic Regression/3. Binary outcome YesNo-Type Business Problems.mp426.82MB
  15. 11. Logistic Regression/4. Logistic regression intuition.mp433.27MB
  16. 11. Logistic Regression/5. Your first logistic regression.mp430.1MB
  17. 11. Logistic Regression/6. False Positives and False Negatives.mp417.87MB
  18. 11. Logistic Regression/7. Confusion Matrix.mp48.36MB
  19. 11. Logistic Regression/8. Interpreting coefficients of a logistic regression.mp436.6MB
  20. 12. Building a robust geodemographic segmentation model/1. Intro (what you will learn in this section).mp410.95MB
  21. 12. Building a robust geodemographic segmentation model/10. Model is Ready and Section Recap.mp424.41MB
  22. 12. Building a robust geodemographic segmentation model/2. Get the dataset.mp419.02MB
  23. 12. Building a robust geodemographic segmentation model/3. What is geo-demographic segmenation.mp412.59MB
  24. 12. Building a robust geodemographic segmentation model/4. Let's build the model - first iteration.mp425.03MB
  25. 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp466.69MB
  26. 12. Building a robust geodemographic segmentation model/6. Transforming independent variables.mp436.68MB
  27. 12. Building a robust geodemographic segmentation model/7. Creating derived variables.mp428.74MB
  28. 12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.mp458.2MB
  29. 12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.mp433.9MB
  30. 13. Assessing your model/1. Intro (what you will learn in this section).mp46.36MB
  31. 13. Assessing your model/10. Section Recap.mp49.21MB
  32. 13. Assessing your model/2. Accuracy paradox.mp44.48MB
  33. 13. Assessing your model/3. Cumulative Accuracy Profile (CAP).mp420.91MB
  34. 13. Assessing your model/4. How to build a CAP curve in Excel.mp484.43MB
  35. 13. Assessing your model/5. Assessing your model using the CAP curve.mp421.02MB
  36. 13. Assessing your model/6. Get my CAP curve template.mp414.4MB
  37. 13. Assessing your model/7. How to use test data to prevent overfitting your model.mp410.62MB
  38. 13. Assessing your model/8. Applying the model to test data.mp458.5MB
  39. 13. Assessing your model/9. Comparing training performance and test performance.mp458.24MB
  40. 14. Drawing insights from your model/1. Intro (what you will learn in this section).mp45.96MB
  41. 14. Drawing insights from your model/2. Power insights from your CAP.mp458.26MB
  42. 14. Drawing insights from your model/3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).mp49.94MB
  43. 14. Drawing insights from your model/4. Odds ratio (advanced topic).mp427.31MB
  44. 14. Drawing insights from your model/5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).mp414.27MB
  45. 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp463.62MB
  46. 14. Drawing insights from your model/7. Section Recap.mp47.34MB
  47. 15. Model maintenance/1. Intro (what you will learn in this section).mp46.76MB
  48. 15. Model maintenance/2. What does model deterioration look like.mp415.76MB
  49. 15. Model maintenance/3. Why do models deteriorate.mp457.66MB
  50. 15. Model maintenance/4. Three levels of maintenance for deployed models.mp414.25MB
  51. 15. Model maintenance/5. Section Recap.mp43.28MB
  52. 16. --------------------------- Part 3 Data Preparation ---------------------------/1. Welcome to Part 3.mp432.7MB
  53. 17. Business Intelligence (BI) Tools/1. Intro (what you will learn in this section).mp44.18MB
  54. 17. Business Intelligence (BI) Tools/2. Working with Data.mp42.22MB
  55. 17. Business Intelligence (BI) Tools/3. What is a Data Warehouse What is a Database.mp49.85MB
  56. 17. Business Intelligence (BI) Tools/4. Setting up Microsoft SQL Server 2014 for practice.mp420.12MB
  57. 17. Business Intelligence (BI) Tools/5. Important Practice Database.mp422.79MB
  58. 17. Business Intelligence (BI) Tools/6. ETL for Data Science - what is Extract Transform Load (ETL).mp43.22MB
  59. 17. Business Intelligence (BI) Tools/7. Microsoft BI Tools What is SSDT-BI and what are SSISSSASSSRS .mp47.55MB
  60. 17. Business Intelligence (BI) Tools/8. Installing SSDT with MSVS Shell.mp417.22MB
  61. 18. ETL Phase 1 Data Wrangling before the Load/1. Intro (what you will learn in this section).mp410.41MB
  62. 18. ETL Phase 1 Data Wrangling before the Load/2. Preparing your folder structure for your Data Science project.mp44.84MB
  63. 18. ETL Phase 1 Data Wrangling before the Load/3. Download the dataset for this section.mp43.49MB
  64. 18. ETL Phase 1 Data Wrangling before the Load/4. Two things you HAVE to do before the load.mp425.26MB
  65. 18. ETL Phase 1 Data Wrangling before the Load/5. Notepad ++.mp43.83MB
  66. 18. ETL Phase 1 Data Wrangling before the Load/6. Editpad Lite.mp48.64MB
  67. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/1. Intro (what you will learn in this section).mp410.15MB
  68. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/2. Starting and navigating an SSIS Project.mp45.61MB
  69. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/3. Creating a flat file source task and OLE DB destination.mp45.85MB
  70. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/4. Setting up your flat file source connection.mp419.99MB
  71. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/5. Setting up your database connection and creating a RAW table.mp427.33MB
  72. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/6. Run the Upload & Disable.mp410.98MB
  73. 19. ETL Phase 2 Step-by-step guide to uploading data using SSIS/7. Due Dilligence Upload Quality Assurance.mp411.45MB
  74. 2. What is Data Science/1. Intro (what you will learn in this section).mp47.71MB
  75. 2. What is Data Science/2. Updates on Udemy Reviews.mp461.44MB
  76. 2. What is Data Science/3. Profession of the future.mp420.49MB
  77. 2. What is Data Science/4. Areas of Data Science.mp415.05MB
  78. 2. What is Data Science/5. IMPORTANT Course Pathways.mp414.1MB
  79. 20. Handling errors during ETL (Phases 1 & 2)/1. Intro (what you will learn in this section).mp412.62MB
  80. 20. Handling errors during ETL (Phases 1 & 2)/10. Automating Error Handling in SSIS Conditional Split.mp431.6MB
  81. 20. Handling errors during ETL (Phases 1 & 2)/11. Automating Error Handling in SSIS Conditional Split (Level 2).mp446.11MB
  82. 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4159.67MB
  83. 20. Handling errors during ETL (Phases 1 & 2)/13. Due Dilligence the one thing you HAVE to do every time.mp428.09MB
  84. 20. Handling errors during ETL (Phases 1 & 2)/14. Types of Errors in SSIS.mp46.58MB
  85. 20. Handling errors during ETL (Phases 1 & 2)/15. Summary.mp436.1MB
  86. 20. Handling errors during ETL (Phases 1 & 2)/16. Homework.mp459.66MB
  87. 20. Handling errors during ETL (Phases 1 & 2)/2. Download the dataset for this section.mp42.27MB
  88. 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp472.47MB
  89. 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp481.87MB
  90. 20. Handling errors during ETL (Phases 1 & 2)/5. SSIS Error Text qualifier not specified.mp430.55MB
  91. 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4257.15MB
  92. 20. Handling errors during ETL (Phases 1 & 2)/7. What do you do when your source file is corrupt (Part 2).mp460.15MB
  93. 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4152.39MB
  94. 20. Handling errors during ETL (Phases 1 & 2)/9. Handy trick for finding anomalies in SQL.mp422.21MB
  95. 21. SQL Programming for Data Science/1. Intro (what you will learn in this section).mp47.9MB
  96. 21. SQL Programming for Data Science/10. Data Types in SQL.mp412.23MB
  97. 21. SQL Programming for Data Science/11. Implicit Data Conversion in SQL.mp417.43MB
  98. 21. SQL Programming for Data Science/12. Using Cast() vs Convert().mp421.13MB
  99. 21. SQL Programming for Data Science/13. Working with NULLs.mp423.46MB
  100. 21. SQL Programming for Data Science/14. Understanding how LEFT, RIGHT, INNER, and OUTER joins work.mp413.48MB
  101. 21. SQL Programming for Data Science/15. Joins with duplicate values.mp46.04MB
  102. 21. SQL Programming for Data Science/16. Joining on multiple fields.mp413.55MB
  103. 21. SQL Programming for Data Science/17. Practicing Joins.mp438.55MB
  104. 21. SQL Programming for Data Science/2. Download the dataset for this section.mp41.9MB
  105. 21. SQL Programming for Data Science/3. Getting To Know MS SQL Management Studio.mp45.69MB
  106. 21. SQL Programming for Data Science/4. Shortcut to upload the data.mp413.82MB
  107. 21. SQL Programming for Data Science/5. SELECT Statement.mp431.22MB
  108. 21. SQL Programming for Data Science/6. Using the WHERE clause to filter data.mp437.14MB
  109. 21. SQL Programming for Data Science/7. How to use Wildcards Regular Expressions in SQL (% and _).mp426.18MB
  110. 21. SQL Programming for Data Science/8. Comments in SQL.mp412.36MB
  111. 21. SQL Programming for Data Science/9. Order By.mp434.09MB
  112. 22. ETL Phase 3 Data Wrangling after the load/1. Intro (what you will learn in this section).mp413.39MB
  113. 22. ETL Phase 3 Data Wrangling after the load/10. Intermediate Recap - Procs.mp47.44MB
  114. 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp480.19MB
  115. 22. ETL Phase 3 Data Wrangling after the load/12. Adding leading zeros.mp452.11MB
  116. 22. ETL Phase 3 Data Wrangling after the load/13. Converting data on the fly.mp449.97MB
  117. 22. ETL Phase 3 Data Wrangling after the load/14. How to create a proc template.mp430.07MB
  118. 22. ETL Phase 3 Data Wrangling after the load/15. Archiving Procs.mp426.47MB
  119. 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp471.1MB
  120. 22. ETL Phase 3 Data Wrangling after the load/2. RAW, WRK, DRV tables.mp410.3MB
  121. 22. ETL Phase 3 Data Wrangling after the load/3. Download the dataset for this section.mp43.36MB
  122. 22. ETL Phase 3 Data Wrangling after the load/4. Create your first Stored Proc in SQL.mp417.39MB
  123. 22. ETL Phase 3 Data Wrangling after the load/5. Executing Stored Procedures.mp412.1MB
  124. 22. ETL Phase 3 Data Wrangling after the load/6. Modifying Stored Procedures.mp439.78MB
  125. 22. ETL Phase 3 Data Wrangling after the load/7. Create table.mp440.85MB
  126. 22. ETL Phase 3 Data Wrangling after the load/8. Insert INTO.mp422.51MB
  127. 22. ETL Phase 3 Data Wrangling after the load/9. Check if table exists + drop table + Truncate.mp430.2MB
  128. 23. Handling errors during ETL (Phase 3)/1. Intro (what you will learn in this section).mp412.86MB
  129. 23. Handling errors during ETL (Phase 3)/10. Additional Quality Assurance check Birthday.mp416.83MB
  130. 23. Handling errors during ETL (Phase 3)/11. Part Completed.mp436.05MB
  131. 23. Handling errors during ETL (Phase 3)/12. ETL Error Handling Vehicle Service Project.mp424.66MB
  132. 23. Handling errors during ETL (Phase 3)/2. Download the dataset for this section.mp41.72MB
  133. 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp489.01MB
  134. 23. Handling errors during ETL (Phase 3)/4. Create Stored Proc.mp436.15MB
  135. 23. Handling errors during ETL (Phase 3)/5. How to deal with errors using the isnumeric() function.mp438.68MB
  136. 23. Handling errors during ETL (Phase 3)/6. How to deal errors using the len() function.mp439.44MB
  137. 23. Handling errors during ETL (Phase 3)/7. How to deal with errors using the isdate() function.mp443.62MB
  138. 23. Handling errors during ETL (Phase 3)/8. Additional Quality Assurance check Balance.mp418.08MB
  139. 23. Handling errors during ETL (Phase 3)/9. Additional Quality Assurance check ZipCode.mp428.5MB
  140. 24. --------------------------- Part 4 Communication ---------------------------/1. Welcome to Part 4.mp415.39MB
  141. 25. Working with people/1. Intro (what you will learn in this section).mp48.2MB
  142. 25. Working with people/2. Cross-departmental Work.mp449.27MB
  143. 25. Working with people/3. Come to me with a Business Problem.mp426.48MB
  144. 25. Working with people/4. Setting expectations and pre-project communication.mp438.27MB
  145. 25. Working with people/5. Go and sit with them.mp458.92MB
  146. 25. Working with people/6. The art of saying No.mp460.44MB
  147. 25. Working with people/7. Sometimes you have to go to the top.mp428.48MB
  148. 25. Working with people/8. Building a data culture.mp456.94MB
  149. 26. Presenting for Data Scientists/1. Intro (what you will learn in this section).mp419MB
  150. 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp464.4MB
  151. 26. Presenting for Data Scientists/2. Case study.mp422.19MB
  152. 26. Presenting for Data Scientists/3. Analysing the intro.mp437.29MB
  153. 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4114.43MB
  154. 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp474.44MB
  155. 26. Presenting for Data Scientists/6. My brainstorming method.mp437.76MB
  156. 26. Presenting for Data Scientists/7. How to present to executives.mp461.94MB
  157. 26. Presenting for Data Scientists/8. The truth is not always pretty.mp432.34MB
  158. 26. Presenting for Data Scientists/9. Passion and the Wow-factor.mp423.75MB
  159. 27. Homework Solutions/1. Advanced Data Mining with Tableau Visualising Credit Score & Tenure.mp413.25MB
  160. 27. Homework Solutions/2. Advanced Data Mining with Tableau Chi-Squared Test for Country.mp49.74MB
  161. 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4148.08MB
  162. 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4116.82MB
  163. 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp464.28MB
  164. 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp487.87MB
  165. 27. Homework Solutions/7. THANK YOU bonus video.mp452.25MB
  166. 3. --------------------------- Part 1 Visualisation ---------------------------/1. Welcome to Part 1.mp430.38MB
  167. 4. Introduction to Tableau/1. Intro (what you will learn in this section).mp43.79MB
  168. 4. Introduction to Tableau/10. Section Recap.mp44.85MB
  169. 4. Introduction to Tableau/2. Installing Tableau Desktop and Tableau Public (FREE).mp428.07MB
  170. 4. Introduction to Tableau/3. Challenge description + view data in file.mp46.61MB
  171. 4. Introduction to Tableau/4. Connecting Tableau to a Data file - CSV file.mp417.33MB
  172. 4. Introduction to Tableau/5. Navigating Tableau - Measures and Dimensions.mp418.19MB
  173. 4. Introduction to Tableau/6. Creating a calculated field.mp416.69MB
  174. 4. Introduction to Tableau/7. Adding colours.mp412.39MB
  175. 4. Introduction to Tableau/8. Adding labels and formatting.mp418.77MB
  176. 4. Introduction to Tableau/9. Exporting your worksheet.mp415.18MB
  177. 5. How to use Tableau for Data Mining/1. Intro (what you will learn in this section).mp44.33MB
  178. 5. How to use Tableau for Data Mining/2. Get the Dataset + Project Overview.mp417.16MB
  179. 5. How to use Tableau for Data Mining/3. Connecting Tableau to an Excel File.mp47.89MB
  180. 5. How to use Tableau for Data Mining/4. How to visualise an AB test in Tableau.mp49.51MB
  181. 5. How to use Tableau for Data Mining/5. Working with Aliases.mp47.01MB
  182. 5. How to use Tableau for Data Mining/6. Adding a Reference Line.mp48.65MB
  183. 5. How to use Tableau for Data Mining/7. Looking for anomalies.mp413.83MB
  184. 5. How to use Tableau for Data Mining/8. Handy trick to validate your approach data.mp415.24MB
  185. 5. How to use Tableau for Data Mining/9. Section Recap.mp46.82MB
  186. 6. Advanced Data Mining With Tableau/1. Intro (what you will learn in this section).mp45.01MB
  187. 6. Advanced Data Mining With Tableau/10. Section Recap.mp47.84MB
  188. 6. Advanced Data Mining With Tableau/11. Part Completed.mp41.97MB
  189. 6. Advanced Data Mining With Tableau/2. Creating bins & Visualizing distributions.mp417.09MB
  190. 6. Advanced Data Mining With Tableau/3. Creating a classification test for a numeric variable.mp48.16MB
  191. 6. Advanced Data Mining With Tableau/4. Combining two charts and working with them in Tableau.mp426.91MB
  192. 6. Advanced Data Mining With Tableau/5. Validating Tableau Data Mining with a Chi-Squared test.mp417.99MB
  193. 6. Advanced Data Mining With Tableau/6. Chi-Squared test when there is more than 2 categories.mp421.34MB
  194. 6. Advanced Data Mining With Tableau/7. Visualising Balance and Estimated Salary distribution.mp424.7MB
  195. 6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).mp431.25MB
  196. 6. Advanced Data Mining With Tableau/9. Bonus Chi-Squared Test Part 2 (Stats Tutorial).mp415.09MB
  197. 7. --------------------------- Part 2 Modelling ---------------------------/1. Welcome to Part 2.mp450.37MB
  198. 8. Stats Refresher/1. Intro (what you will learn in this section).mp45.08MB
  199. 8. Stats Refresher/2. Types of variables Categorical vs Numeric.mp46.88MB
  200. 8. Stats Refresher/3. Types of regressions.mp410.33MB
  201. 8. Stats Refresher/4. Ordinary Least Squares.mp44.23MB
  202. 8. Stats Refresher/5. R-squared.mp46.74MB
  203. 8. Stats Refresher/6. Adjusted R-squared.mp413.84MB
  204. 9. Simple Linear Regression/1. Intro (what you will learn in this section).mp48.9MB
  205. 9. Simple Linear Regression/2. Introduction to Gretl.mp415.13MB
  206. 9. Simple Linear Regression/3. Get the dataset.mp47.55MB
  207. 9. Simple Linear Regression/4. Import data and run descriptive statistics.mp410.49MB
  208. 9. Simple Linear Regression/5. Reading Linear Regression Output.mp422.34MB
  209. 9. Simple Linear Regression/6. Plotting and analysing the graph.mp422.32MB
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