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[] Udemy - Python Data Science with Pandas Master 12 Advanced Projects

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文件列表

  1. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/99 - Which Factors influence House Prices.mp4 72MB
  2. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/49 - Project-04-Materials.zip 70MB
  3. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/136 - Project Brief for SelfCoders.mp4 68MB
  4. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/126 - Transforming the Data.mp4 64MB
  5. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/69 - Project-06-Materials.zip 64MB
  6. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/10 - Data Import from csv file and first Inspection.mp4 63MB
  7. 15 - Appendix Pandas Crash Course/170 - Selecting Rows with iloc positionbased indexing.mp4 61MB
  8. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/127 - Explanatory Data Analysis Risk Return & Correlations.mp4 61MB
  9. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/14 - What are the most common Words in Movie Titles Taglines and Overviews.mp4 58MB
  10. 15 - Appendix Pandas Crash Course/177 - Analyzing Numerical Series with unique nunique and valuecounts.mp4 57MB
  11. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/25 - Importing Data from JSON files.mp4 57MB
  12. 15 - Appendix Pandas Crash Course/174 - Slicing Rows and Columns with loc labelbased indexing.mp4 56MB
  13. 15 - Appendix Pandas Crash Course/163 - Create your very first Pandas DataFrame from csv.mp4 56MB
  14. 15 - Appendix Pandas Crash Course/185 - Data Visualization with Matplotlib.mp4 51MB
  15. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/143 - Statistical Analysis and Hypothesis Testing with scipy.mp4 51MB
  16. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/62 - How to load Data from DataFrames into an SQLite Database.mp4 48MB
  17. 15 - Appendix Pandas Crash Course/190 - splitapplycombine applied.mp4 47MB
  18. 1 - Getting Started/4 - How to download and install Anaconda for Python coding.mp4 46MB
  19. 1 - Getting Started/5 - Jupyter Notebooks let´s get started.mp4 44MB
  20. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/18 - The most successful Actors Part 1.mp4 43MB
  21. 15 - Appendix Pandas Crash Course/165 - First Data Inspection.mp4 43MB
  22. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/27 - What is an API The Movie Database API.mp4 43MB
  23. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/130 - Index Tracking A simple Tracking Portfolio.mp4 43MB
  24. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/82 - Project Brief for SelfCoders.mp4 42MB
  25. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/89 - Visualizing Name Trends over Time.mp4 42MB
  26. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/40 - How to flatten nested Columns.mp4 41MB
  27. 1 - Getting Started/6 - How to work with Jupyter Notebooks.mp4 41MB
  28. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/100 - Advanced Explanatory Data Analyis with Seaborn.mp4 41MB
  29. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/13 - Which Movie would you like to see next.mp4 41MB
  30. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/160 - Removal of prior Version Deprecations.mp4 40MB
  31. 15 - Appendix Pandas Crash Course/192 - Data with DateTime Information Part 2.mp4 38MB
  32. 15 - Appendix Pandas Crash Course/194 - Data with DateTime Information Part 4.mp4 37MB
  33. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/26 - JSON and OrientationFormats.mp4 36MB
  34. 1 - Getting Started/2 - Tips How to get the most out of this Course don´t skip.mp4 36MB
  35. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/31 - Importing and Storing the Movies Dataset Best Practice.mp4 36MB
  36. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/131 - Index Tracking The optimal Tracking Portfolio.mp4 35MB
  37. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/133 - Forward Testing Part 2.mp4 34MB
  38. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/54 - Cleaning and Transforming the new Cast Column.mp4 34MB
  39. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/96 - Project Brief for SelfCoders.mp4 33MB
  40. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/65 - Some more SQL Queries.mp4 33MB
  41. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/142 - Do GDP Population and Politics matter.mp4 33MB
  42. 15 - Appendix Pandas Crash Course/184 - Userdefined Functions with apply map and applymap.mp4 33MB
  43. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/132 - Forward Testing Part 1.mp4 33MB
  44. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/28 - Working with APIs and JSON Part 1.mp4 32MB
  45. 15 - Appendix Pandas Crash Course/188 - Splitting with many Keys.mp4 32MB
  46. 15 - Appendix Pandas Crash Course/189 - splitapplycombine explained.mp4 32MB
  47. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/147 - Do Traditions matter.mp4 31MB
  48. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/110 - Normalizing Unicode Strings and Getting the Ticker Symbols.mp4 31MB
  49. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/38 - How to handle stringified JSON columns Part 1.mp4 31MB
  50. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/11 - The best and the worst movies Part 1.mp4 31MB
  51. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/128 - Index Tracking Introduction.mp4 31MB
  52. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/67 - Final Case Study.mp4 30MB
  53. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/139 - Data Cleaning Part 1.mp4 30MB
  54. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/97 - Data Import and first Inspection.mp4 29MB
  55. 1 - Getting Started/1 - Course Overview don´t skip.mp4 29MB
  56. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/64 - Some simple SQL Queries.mp4 29MB
  57. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/119 - More complex Strategies & Backtesting vs Fitting.mp4 29MB
  58. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/109 - Web Scraping the Dow Jones Constituents.mp4 28MB
  59. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/92 - Persistant vs SpikeFade Names.mp4 28MB
  60. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/91 - Why does a Name´s Popularity suddenly change Part 2.mp4 28MB
  61. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/46 - Handling Missing Values & Removing ObervationsRows.mp4 27MB
  62. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/73 - Importing & merging many Files easy case.mp4 27MB
  63. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/16 - What are the most successful Franchises.mp4 27MB
  64. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/117 - Backtesting a simple Momentum Strategy.mp4 27MB
  65. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/144 - Aggregating and Ranking.mp4 27MB
  66. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/93 - Most Popular Unisex Names.mp4 27MB
  67. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/55 - Cleaning and Transforming the new Crew Column.mp4 26MB
  68. 15 - Appendix Pandas Crash Course/166 - Builtin Functions Attributes and Methods with Pandas.mp4 26MB
  69. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/41 - How to clean Numerical Columns Part 1.mp4 26MB
  70. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/121 - Backtesting Simple Moving Averages SMA Strategies.mp4 26MB
  71. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/35 - Project Brief for SelfCoders.mp4 26MB
  72. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/30 - Working with APIs and JSON Part 2.mp4 26MB
  73. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/141 - What are the most successful countries of all times.mp4 25MB
  74. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/44 - How to clean String Text Columns.mp4 25MB
  75. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/112 - Loading and Saving Historical Stock Prices.mp4 25MB
  76. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/42 - How to clean Numerical Columns Part 2.mp4 25MB
  77. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/138 - Merging and Concatenating.mp4 24MB
  78. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/19 - The most successful Actors Part 2.mp4 24MB
  79. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/98 - Data Cleaning and Creating additional Features.mp4 24MB
  80. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/157 - The NEW StringDtype.mp4 24MB
  81. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/125 - Importing & Merging the Data.mp4 24MB
  82. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/111 - Download and Installation of an API Wrapper Package.mp4 24MB
  83. 15 - Appendix Pandas Crash Course/180 - Filtering DataFrames by one Condition.mp4 24MB
  84. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/129 - Index Tracking Selecting the Tracking Stocks.mp4 23MB
  85. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/104 - Training the ML Model Random Forest.mp4 23MB
  86. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/145 - Summer Games vs Winter Games does Geographical Location matter.mp4 23MB
  87. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/66 - Join Queries.mp4 23MB
  88. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/34 - Project-03-Materials.zip 23MB
  89. 15 - Appendix Pandas Crash Course/187 - Understanding the GroupBy Object.mp4 22MB
  90. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/155 - NEW pdNA value for missing values.mp4 22MB
  91. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/60 - Project Brief for SelfCoders.mp4 22MB
  92. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/12 - The best and the worst movies Part 2.mp4 22MB
  93. 15 - Appendix Pandas Crash Course/164 - Pandas Display Options and the methods head & tail.mp4 22MB
  94. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/17 - The most successful Directors.mp4 22MB
  95. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/116 - Data Visualization & Returns.mp4 21MB
  96. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/90 - Why does a Name´s Popularity suddenly change Part 1.mp4 21MB
  97. 15 - Appendix Pandas Crash Course/167 - Selecting Columns.mp4 21MB
  98. 15 - Appendix Pandas Crash Course/191 - Data with DateTime Information Part 1.mp4 20MB
  99. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/47 - Final Steps.mp4 20MB
  100. 15 - Appendix Pandas Crash Course/171 - Slicing Rows and Columns with iloc positionbased indexing.mp4 19MB
  101. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/154 - Creating the NEW extension dtypes with convertdtypes.mp4 19MB
  102. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/15 - Are Franchises more successful.mp4 19MB
  103. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/151 - Important Recap Pandas Display Options Changed in Version 025.mp4 19MB
  104. 15 - Appendix Pandas Crash Course/178 - Analyzing nonnumerical Series with unique nunique valuecounts.mp4 19MB
  105. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/51 - Getting the Datasets.mp4 18MB
  106. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/72 - Importing one File & Understanding the Data Structure easy case.mp4 18MB
  107. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/88 - Creating the Features Popularity and Rank.mp4 17MB
  108. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/45 - How to remove Duplicates.mp4 17MB
  109. 15 - Appendix Pandas Crash Course/179 - Sorting of Series and Introduction to the inplace parameter.mp4 17MB
  110. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/103 - Splitting the Data into Train and Test Set.mp4 17MB
  111. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/63 - How to load Data from SQLite Databases into DataFrames.mp4 16MB
  112. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/122 - Backtesting the Perfect Strategy in case you can predict the future.mp4 16MB
  113. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/140 - Data Cleaning Part 2.mp4 16MB
  114. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/85 - Advanced Data Aggregation.mp4 16MB
  115. 15 - Appendix Pandas Crash Course/183 - Creating Columns based on other Columns.mp4 16MB
  116. 15 - Appendix Pandas Crash Course/193 - Data with DateTime Information Part 3.mp4 16MB
  117. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/153 - NEW Extension dtypes nullable dtypes Why do we need them.mp4 16MB
  118. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/101 - Feature Engineering Part 1.mp4 16MB
  119. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/156 - The NEW nullable Int64Dtype.mp4 15MB
  120. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/8 - Project-01-Materials.zip 15MB
  121. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/87 - General Trends over Time 1880 2018.mp4 15MB
  122. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/146 - Men vs Women do Culture & Religion matter.mp4 15MB
  123. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/118 - Backtesting a simple Contrarian Strategy.mp4 15MB
  124. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/7 - Project Overview.mp4 15MB
  125. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/39 - How to handle stringified JSON columns Part 2.mp4 15MB
  126. 15 - Appendix Pandas Crash Course/176 - First Steps with Pandas Series.mp4 14MB
  127. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/9 - Project Brief for SelfCoders.mp4 14MB
  128. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/53 - Merging the Data Left Join.mp4 14MB
  129. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/137 - Data Import and first Inspection.mp4 14MB
  130. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/75 - Project Brief for SelfCoders Part 2.mp4 14MB
  131. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/159 - Addition of the ignoreindex parameter.mp4 13MB
  132. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/120 - Simple Moving Averages SMA.mp4 13MB
  133. 15 - Appendix Pandas Crash Course/182 - Filtering DataFrames by many Conditions OR.mp4 13MB
  134. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/158 - The NEW nullable BooleanDtype.mp4 13MB
  135. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/36 - First Steps.mp4 13MB
  136. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/105 - Evaluating the Model on the Test Set.mp4 13MB
  137. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/24 - Project Brief for SelfCoders.mp4 12MB
  138. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/83 - First Inspection The most popular Names in 2018.mp4 12MB
  139. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/32 - Importing and Storing the Movies Dataset Real World Scenario.mp4 12MB
  140. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/115 - Importing the Data.mp4 12MB
  141. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/43 - How to clean Columns with DateTime Information.mp4 12MB
  142. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/86 - What are the most popular Names of all Times.mp4 12MB
  143. 15 - Appendix Pandas Crash Course/173 - Selecting Rows with loc labelbased indexing.mp4 11MB
  144. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/70 - Project Brief for SelfCoders Part 1.mp4 11MB
  145. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/148 - Intro and Overview.mp4 11MB
  146. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/102 - Feature Engineering Part 2.mp4 11MB
  147. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/50 - Project Brief for SelfCoders.mp4 11MB
  148. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/58 - What is a Database SQL.mp4 11MB
  149. 15 - Appendix Pandas Crash Course/161 - Intro to Tabular Data Pandas.mp4 10MB
  150. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/61 - How to create an SQLite Database.mp4 10MB
  151. 15 - Appendix Pandas Crash Course/181 - Filtering DataFrames by many Conditions AND.mp4 10MB
  152. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/8 - Downloads Project 1.mp4 10MB
  153. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/77 - The glob module.mp4 9MB
  154. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/37 - Dropping irrelevant Columns.mp4 9MB
  155. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/123 - Project Overview.mp4 9MB
  156. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/81 - Project-07-Materials.zip 9MB
  157. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/84 - Evergreen Names 1880 2018.mp4 8MB
  158. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/78 - Importing & merging many Files complex case.mp4 8MB
  159. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/71 - Getting the Data from the Web.mp4 8MB
  160. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/152 - Info method new and extended output.mp4 8MB
  161. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/29 - How to work with your own APIKEY.mp4 7MB
  162. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/52 - Preparing the Data for Merge.mp4 7MB
  163. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/79 - Excursus Saving Memory Categorical Features.mp4 6MB
  164. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/21 - Project Overview.mp4 6MB
  165. 15 - Appendix Pandas Crash Course/169 - Zerobased Indexing and Negative Indexing.mp4 6MB
  166. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/106 - Feature Importance.mp4 6MB
  167. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/22 - What is JSON.mp4 6MB
  168. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/76 - Importing one File & Understanding the Data Structure complex case.mp4 5MB
  169. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/74 - Final Steps.mp4 4MB
  170. 15 - Appendix Pandas Crash Course/168 - Selecting one Column with the dot notation.mp4 4MB
  171. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/134 - Project Overview.mp4 4MB
  172. 15 - Appendix Pandas Crash Course/186 - GroupBy an Introduction.mp4 4MB
  173. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/56 - Final Steps.mp4 3MB
  174. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/94 - Project Overview.mp4 3MB
  175. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/33 - Project Overview.mp4 3MB
  176. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/107 - Project Overview.mp4 3MB
  177. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/57 - Project Overview.mp4 2MB
  178. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/80 - Project Overview.mp4 2MB
  179. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/48 - Project Overview.mp4 2MB
  180. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/68 - Project Overview.mp4 2MB
  181. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/113 - Project Overview.mp4 2MB
  182. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/95 - Project-08-Materials.zip 2MB
  183. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/135 - Project-12-Materials.zip 1023KB
  184. 15 - Appendix Pandas Crash Course/162 - Appendix-Materials.zip 626KB
  185. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/124 - Project-11-Materials.zip 454KB
  186. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/108 - Project-09-Materials.zip 452KB
  187. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/22 - API-JSON.pdf 421KB
  188. 15 - Appendix Pandas Crash Course/169 - positions.pdf 194KB
  189. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/114 - Project-10-Materials.zip 80KB
  190. 15 - Appendix Pandas Crash Course/172 - pandas-iloc.pdf 72KB
  191. 15 - Appendix Pandas Crash Course/175 - Pandas-loc.pdf 68KB
  192. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/150 - Course-Materials-Version-1-0.zip 27KB
  193. 1 - Getting Started/6 - How to work with Jupyter Notebooks English.vtt 15KB
  194. 15 - Appendix Pandas Crash Course/184 - Userdefined Functions with apply map and applymap English.vtt 15KB
  195. 15 - Appendix Pandas Crash Course/177 - Analyzing Numerical Series with unique nunique and valuecounts English.vtt 14KB
  196. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/99 - Which Factors influence House Prices English.vtt 14KB
  197. 16 - What´s next outlook and additional resources/195 - Bonus Lecture.html 14KB
  198. 15 - Appendix Pandas Crash Course/165 - First Data Inspection English.vtt 13KB
  199. 15 - Appendix Pandas Crash Course/190 - splitapplycombine applied English.vtt 13KB
  200. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/59 - Project-05-Materials.zip 12KB
  201. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/25 - Importing Data from JSON files English.vtt 12KB
  202. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/143 - Statistical Analysis and Hypothesis Testing with scipy English.vtt 11KB
  203. 15 - Appendix Pandas Crash Course/180 - Filtering DataFrames by one Condition English.vtt 11KB
  204. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/23 - Project-02-Materials.zip 11KB
  205. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/73 - Importing & merging many Files easy case English.vtt 11KB
  206. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/117 - Backtesting a simple Momentum Strategy English.vtt 11KB
  207. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/142 - Do GDP Population and Politics matter English.vtt 11KB
  208. 15 - Appendix Pandas Crash Course/189 - splitapplycombine explained English.vtt 11KB
  209. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/100 - Advanced Explanatory Data Analyis with Seaborn English.vtt 10KB
  210. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/10 - Data Import from csv file and first Inspection English.vtt 10KB
  211. 15 - Appendix Pandas Crash Course/170 - Selecting Rows with iloc positionbased indexing English.vtt 10KB
  212. 15 - Appendix Pandas Crash Course/174 - Slicing Rows and Columns with loc labelbased indexing English.vtt 10KB
  213. 15 - Appendix Pandas Crash Course/192 - Data with DateTime Information Part 2 English.vtt 10KB
  214. 1 - Getting Started/5 - Jupyter Notebooks let´s get started English.vtt 10KB
  215. 15 - Appendix Pandas Crash Course/179 - Sorting of Series and Introduction to the inplace parameter English.vtt 10KB
  216. 15 - Appendix Pandas Crash Course/185 - Data Visualization with Matplotlib English.vtt 10KB
  217. 15 - Appendix Pandas Crash Course/166 - Builtin Functions Attributes and Methods with Pandas English.vtt 9KB
  218. 15 - Appendix Pandas Crash Course/163 - Create your very first Pandas DataFrame from csv English.vtt 9KB
  219. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/11 - The best and the worst movies Part 1 English.vtt 9KB
  220. 15 - Appendix Pandas Crash Course/187 - Understanding the GroupBy Object English.vtt 9KB
  221. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/126 - Transforming the Data English.vtt 9KB
  222. 15 - Appendix Pandas Crash Course/191 - Data with DateTime Information Part 1 English.vtt 9KB
  223. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/18 - The most successful Actors Part 1 English.vtt 8KB
  224. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/127 - Explanatory Data Analysis Risk Return & Correlations English.vtt 8KB
  225. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/89 - Visualizing Name Trends over Time English.vtt 8KB
  226. 1 - Getting Started/4 - How to download and install Anaconda for Python coding English.vtt 8KB
  227. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/40 - How to flatten nested Columns English.vtt 8KB
  228. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/141 - What are the most successful countries of all times English.vtt 8KB
  229. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/27 - What is an API The Movie Database API English.vtt 8KB
  230. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/13 - Which Movie would you like to see next English.vtt 8KB
  231. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/82 - Project Brief for SelfCoders English.vtt 8KB
  232. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/136 - Project Brief for SelfCoders English.vtt 8KB
  233. 15 - Appendix Pandas Crash Course/178 - Analyzing nonnumerical Series with unique nunique valuecounts English.vtt 8KB
  234. 15 - Appendix Pandas Crash Course/183 - Creating Columns based on other Columns English.vtt 7KB
  235. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/62 - How to load Data from DataFrames into an SQLite Database English.vtt 7KB
  236. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/103 - Splitting the Data into Train and Test Set English.vtt 7KB
  237. 15 - Appendix Pandas Crash Course/194 - Data with DateTime Information Part 4 English.vtt 7KB
  238. 15 - Appendix Pandas Crash Course/188 - Splitting with many Keys English.vtt 7KB
  239. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/90 - Why does a Name´s Popularity suddenly change Part 1 English.vtt 7KB
  240. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/38 - How to handle stringified JSON columns Part 1 English.vtt 7KB
  241. 15 - Appendix Pandas Crash Course/164 - Pandas Display Options and the methods head & tail English.vtt 7KB
  242. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/35 - Project Brief for SelfCoders English.vtt 7KB
  243. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/15 - Are Franchises more successful English.vtt 7KB
  244. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/31 - Importing and Storing the Movies Dataset Best Practice English.vtt 7KB
  245. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/46 - Handling Missing Values & Removing ObervationsRows English.vtt 7KB
  246. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/93 - Most Popular Unisex Names English.vtt 7KB
  247. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/130 - Index Tracking A simple Tracking Portfolio English.vtt 7KB
  248. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/28 - Working with APIs and JSON Part 1 English.vtt 7KB
  249. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/147 - Do Traditions matter English.vtt 7KB
  250. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/64 - Some simple SQL Queries English.vtt 7KB
  251. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/160 - Removal of prior Version Deprecations English.vtt 6KB
  252. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/133 - Forward Testing Part 2 English.vtt 6KB
  253. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/155 - NEW pdNA value for missing values English.vtt 6KB
  254. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/65 - Some more SQL Queries English.vtt 6KB
  255. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/119 - More complex Strategies & Backtesting vs Fitting English.vtt 6KB
  256. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/139 - Data Cleaning Part 1 English.vtt 6KB
  257. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/97 - Data Import and first Inspection English.vtt 6KB
  258. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/131 - Index Tracking The optimal Tracking Portfolio English.vtt 6KB
  259. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/14 - What are the most common Words in Movie Titles Taglines and Overviews English.vtt 6KB
  260. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/85 - Advanced Data Aggregation English.vtt 6KB
  261. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/12 - The best and the worst movies Part 2 English.vtt 6KB
  262. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/96 - Project Brief for SelfCoders English.vtt 6KB
  263. 1 - Getting Started/2 - Tips How to get the most out of this Course don´t skip English.vtt 6KB
  264. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/88 - Creating the Features Popularity and Rank English.vtt 6KB
  265. 15 - Appendix Pandas Crash Course/193 - Data with DateTime Information Part 3 English.vtt 6KB
  266. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/67 - Final Case Study English.vtt 6KB
  267. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/121 - Backtesting Simple Moving Averages SMA Strategies English.vtt 6KB
  268. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/98 - Data Cleaning and Creating additional Features English.vtt 6KB
  269. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/128 - Index Tracking Introduction English.vtt 6KB
  270. 15 - Appendix Pandas Crash Course/167 - Selecting Columns English.vtt 6KB
  271. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/26 - JSON and OrientationFormats English.vtt 6KB
  272. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/151 - Important Recap Pandas Display Options Changed in Version 025 English.vtt 6KB
  273. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/157 - The NEW StringDtype English.vtt 6KB
  274. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/91 - Why does a Name´s Popularity suddenly change Part 2 English.vtt 5KB
  275. 1 - Getting Started/1 - Course Overview don´t skip English.vtt 5KB
  276. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/140 - Data Cleaning Part 2 English.vtt 5KB
  277. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/41 - How to clean Numerical Columns Part 1 English.vtt 5KB
  278. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/104 - Training the ML Model Random Forest English.vtt 5KB
  279. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/144 - Aggregating and Ranking English.vtt 5KB
  280. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/42 - How to clean Numerical Columns Part 2 English.vtt 5KB
  281. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/9 - Project Brief for SelfCoders English.vtt 5KB
  282. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/16 - What are the most successful Franchises English.vtt 5KB
  283. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/87 - General Trends over Time 1880 2018 English.vtt 5KB
  284. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/132 - Forward Testing Part 1 English.vtt 5KB
  285. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/66 - Join Queries English.vtt 5KB
  286. 15 - Appendix Pandas Crash Course/182 - Filtering DataFrames by many Conditions OR English.vtt 5KB
  287. 15 - Appendix Pandas Crash Course/161 - Intro to Tabular Data Pandas English.vtt 5KB
  288. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/116 - Data Visualization & Returns English.vtt 5KB
  289. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/110 - Normalizing Unicode Strings and Getting the Ticker Symbols English.vtt 5KB
  290. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/153 - NEW Extension dtypes nullable dtypes Why do we need them English.vtt 5KB
  291. 15 - Appendix Pandas Crash Course/181 - Filtering DataFrames by many Conditions AND English.vtt 5KB
  292. 15 - Appendix Pandas Crash Course/171 - Slicing Rows and Columns with iloc positionbased indexing English.vtt 5KB
  293. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/102 - Feature Engineering Part 2 English.vtt 5KB
  294. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/112 - Loading and Saving Historical Stock Prices English.vtt 5KB
  295. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/158 - The NEW nullable BooleanDtype English.vtt 5KB
  296. 1 - Getting Started/3 - FAQ Your Questions answered.html 5KB
  297. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/72 - Importing one File & Understanding the Data Structure easy case English.vtt 5KB
  298. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/19 - The most successful Actors Part 2 English.vtt 5KB
  299. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/138 - Merging and Concatenating English.vtt 5KB
  300. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/120 - Simple Moving Averages SMA English.vtt 5KB
  301. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/58 - What is a Database SQL English.vtt 5KB
  302. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/145 - Summer Games vs Winter Games does Geographical Location matter English.vtt 4KB
  303. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/54 - Cleaning and Transforming the new Cast Column English.vtt 4KB
  304. 15 - Appendix Pandas Crash Course/176 - First Steps with Pandas Series English.vtt 4KB
  305. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/17 - The most successful Directors English.vtt 4KB
  306. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/154 - Creating the NEW extension dtypes with convertdtypes English.vtt 4KB
  307. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/137 - Data Import and first Inspection English.vtt 4KB
  308. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/77 - The glob module English.vtt 4KB
  309. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/159 - Addition of the ignoreindex parameter English.vtt 4KB
  310. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/45 - How to remove Duplicates English.vtt 4KB
  311. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/55 - Cleaning and Transforming the new Crew Column English.vtt 4KB
  312. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/60 - Project Brief for SelfCoders English.vtt 4KB
  313. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/109 - Web Scraping the Dow Jones Constituents English.vtt 4KB
  314. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/61 - How to create an SQLite Database English.vtt 4KB
  315. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/47 - Final Steps English.vtt 4KB
  316. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/30 - Working with APIs and JSON Part 2 English.vtt 4KB
  317. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/92 - Persistant vs SpikeFade Names English.vtt 4KB
  318. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/83 - First Inspection The most popular Names in 2018 English.vtt 4KB
  319. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/156 - The NEW nullable Int64Dtype English.vtt 4KB
  320. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/24 - Project Brief for SelfCoders English.vtt 4KB
  321. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/8 - Downloads Project 1 English.vtt 4KB
  322. 15 - Appendix Pandas Crash Course/169 - Zerobased Indexing and Negative Indexing English.vtt 4KB
  323. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/53 - Merging the Data Left Join English.vtt 4KB
  324. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/146 - Men vs Women do Culture & Religion matter English.vtt 3KB
  325. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/129 - Index Tracking Selecting the Tracking Stocks English.vtt 3KB
  326. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/63 - How to load Data from SQLite Databases into DataFrames English.vtt 3KB
  327. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/118 - Backtesting a simple Contrarian Strategy English.vtt 3KB
  328. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/101 - Feature Engineering Part 1 English.vtt 3KB
  329. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/39 - How to handle stringified JSON columns Part 2 English.vtt 3KB
  330. 15 - Appendix Pandas Crash Course/173 - Selecting Rows with loc labelbased indexing English.vtt 3KB
  331. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/122 - Backtesting the Perfect Strategy in case you can predict the future English.vtt 3KB
  332. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/50 - Project Brief for SelfCoders English.vtt 3KB
  333. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/71 - Getting the Data from the Web English.vtt 3KB
  334. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/125 - Importing & Merging the Data English.vtt 3KB
  335. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/22 - What is JSON English.vtt 3KB
  336. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/44 - How to clean String Text Columns English.vtt 3KB
  337. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/105 - Evaluating the Model on the Test Set English.vtt 3KB
  338. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/36 - First Steps English.vtt 3KB
  339. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/32 - Importing and Storing the Movies Dataset Real World Scenario English.vtt 3KB
  340. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/84 - Evergreen Names 1880 2018 English.vtt 3KB
  341. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/115 - Importing the Data English.vtt 3KB
  342. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/78 - Importing & merging many Files complex case English.vtt 3KB
  343. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/75 - Project Brief for SelfCoders Part 2 English.vtt 3KB
  344. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/79 - Excursus Saving Memory Categorical Features English.vtt 3KB
  345. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/86 - What are the most popular Names of all Times English.vtt 3KB
  346. 15 - Appendix Pandas Crash Course/168 - Selecting one Column with the dot notation English.vtt 3KB
  347. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/106 - Feature Importance English.vtt 2KB
  348. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/76 - Importing one File & Understanding the Data Structure complex case English.vtt 2KB
  349. 15 - Appendix Pandas Crash Course/186 - GroupBy an Introduction English.vtt 2KB
  350. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/51 - Getting the Datasets English.vtt 2KB
  351. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/37 - Dropping irrelevant Columns English.vtt 2KB
  352. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/52 - Preparing the Data for Merge English.vtt 2KB
  353. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/111 - Download and Installation of an API Wrapper Package English.vtt 2KB
  354. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/148 - Intro and Overview English.vtt 2KB
  355. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/43 - How to clean Columns with DateTime Information English.vtt 2KB
  356. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/70 - Project Brief for SelfCoders Part 1 English.vtt 2KB
  357. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/152 - Info method new and extended output English.vtt 2KB
  358. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/21 - Project Overview English.vtt 2KB
  359. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/74 - Final Steps English.vtt 2KB
  360. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/29 - How to work with your own APIKEY English.vtt 2KB
  361. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/33 - Project Overview English.vtt 1KB
  362. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/94 - Project Overview English.vtt 1KB
  363. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/123 - Project Overview English.vtt 1KB
  364. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/7 - Project Overview English.vtt 1KB
  365. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/107 - Project Overview English.vtt 1KB
  366. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/56 - Final Steps English.vtt 1KB
  367. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/57 - Project Overview English.vtt 1022B
  368. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/113 - Project Overview English.vtt 932B
  369. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/80 - Project Overview English.vtt 884B
  370. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/48 - Project Overview English.vtt 859B
  371. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/134 - Project Overview English.vtt 846B
  372. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/68 - Project Overview English.vtt 792B
  373. 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/20 - Now it´s your turn Homework.html 643B
  374. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/150 - Downloads for this Section.html 137B
  375. 15 - Appendix Pandas Crash Course/162 - Downloads for this Section.html 137B
  376. 14 - Extra Project Prepare yourself for the Future Pandas Version 10/149 - How to update Pandas to Version 10.html 136B
  377. 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/114 - Downloads Project 10.html 135B
  378. 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/124 - Downloads Project 11.html 135B
  379. 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/135 - Downloads Project 12.html 135B
  380. 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/108 - Downloads Project 9.html 134B
  381. 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/23 - Downloads Project 2.html 134B
  382. 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/34 - Downloads Project 3.html 134B
  383. 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/49 - Downloads Project 4.html 134B
  384. 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/59 - Downloads Project 5.html 134B
  385. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/69 - Downloads Project 6.html 134B
  386. 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/81 - Downloads Project 7.html 134B
  387. 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/95 - Downloads Project 8.html 134B
  388. 0. Websites you may like/[CourseClub.Me].url 122B
  389. 1 - Getting Started/[CourseClub.Me].url 122B
  390. 15 - Appendix Pandas Crash Course/[CourseClub.Me].url 122B
  391. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/[CourseClub.Me].url 122B
  392. [CourseClub.Me].url 122B
  393. 0. Websites you may like/[GigaCourse.Com].url 49B
  394. 1 - Getting Started/[GigaCourse.Com].url 49B
  395. 15 - Appendix Pandas Crash Course/[GigaCourse.Com].url 49B
  396. 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/[GigaCourse.Com].url 49B
  397. [GigaCourse.Com].url 49B
  398. 15 - Appendix Pandas Crash Course/172 - Positionbased Indexing Cheat Sheets.html 41B
  399. 15 - Appendix Pandas Crash Course/175 - Labelbased Indexing Cheat Sheets.html 41B