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[] Udemy - 2024 Python Data Analysis & Visualization Masterclass

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  • 文件大小:7GB
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文件列表

  1. 01 - Introduction/004 DataAnalysisCourseMaterials.zip 121MB
  2. 01 - Introduction/001 Course Welcome & Curriculum Walkthrough.mp4 117MB
  3. 14 - Revisiting Pandas Plotting/017 EXERCISE Pandas Plotting Challenge #4.mp4 105MB
  4. 14 - Revisiting Pandas Plotting/018 EXERCISE Pandas Plotting Challenge #5.mp4 91MB
  5. 08 - Filtering DataFrames/006 Combining Conditions Using OR ().mp4 88MB
  6. 12 - Working With Dates & Times/009 Billboard Charts Dataset Exploration.mp4 86MB
  7. 20 - Seaborn/004 Seaborn Lineplots.mp4 83MB
  8. 12 - Working With Dates & Times/011 SOLUTION Dates & Times.mp4 81MB
  9. 04 - Dataframes & Datasets/006 The Titanic Passenger Dataset Walkthrough.mp4 78MB
  10. 13 - Matplotlib/013 Creating Histograms.mp4 78MB
  11. 12 - Working With Dates & Times/007 Finding StarLink Flybys In UFO Dataset.mp4 72MB
  12. 20 - Seaborn/003 Seaborn Scatterplots.mp4 72MB
  13. 08 - Filtering DataFrames/005 Combining Conditions Using AND (&).mp4 72MB
  14. 13 - Matplotlib/018 Working With Subplots.mp4 71MB
  15. 04 - Dataframes & Datasets/007 Non-comma Separators Netflix Dataset.mp4 71MB
  16. 13 - Matplotlib/007 Line Styles, Colors, Widths, and More!.mp4 70MB
  17. 15 - Grouping & Aggregating/002 Exploring Groups.mp4 69MB
  18. 05 - Basic DataFrame Methods & Computations/002 Sum & Count.mp4 68MB
  19. 13 - Matplotlib/012 Creating Bar Plots.mp4 66MB
  20. 12 - Working With Dates & Times/004 Dates and DataFrames.mp4 66MB
  21. 21 - Seaborn Categorical Plots/002 Strip & Swarm Plots.mp4 65MB
  22. 13 - Matplotlib/020 EXERCISE Matplotlib Challenge #4.mp4 63MB
  23. 20 - Seaborn/001 Intro to Seaborn.mp4 62MB
  24. 08 - Filtering DataFrames/011 SOLUTION Filtering Exercise.mp4 59MB
  25. 12 - Working With Dates & Times/003 Specifying Fancy Formats With pd.to_datetime().mp4 58MB
  26. 15 - Grouping & Aggregating/008 SOLUTION Groupby.mp4 58MB
  27. 22 - Controlling Seaborn Aesthetics/004 Changing Color Palettes.mp4 58MB
  28. 20 - Seaborn/005 The relplot() Method.mp4 57MB
  29. 07 - Indexing & Sorting/013 SOLUTION Indexes & Sorting.mp4 56MB
  30. 02 - Setup & Installation/002 Mac Installation Walkthrough.mp4 56MB
  31. 19 - Combining Series & DataFrames/008 Merge() On and Suffixes Arguments.mp4 56MB
  32. 15 - Grouping & Aggregating/003 Split-Apply-Combine.mp4 55MB
  33. 14 - Revisiting Pandas Plotting/005 Closer Look at Pandas Bar Plots.mp4 54MB
  34. 08 - Filtering DataFrames/002 Filtering With Comparison Operators.mp4 54MB
  35. 07 - Indexing & Sorting/001 Set_Index Basics.mp4 53MB
  36. 12 - Working With Dates & Times/005 The Useful dt Properties.mp4 53MB
  37. 14 - Revisiting Pandas Plotting/006 EXERCISE Pandas Plotting Challenge #1.mp4 52MB
  38. 04 - Dataframes & Datasets/005 The House Sales Dataset Walkthrough.mp4 52MB
  39. 21 - Seaborn Categorical Plots/006 Barplots.mp4 52MB
  40. 10 - Updating Values/005 Making Updates With loc[] and Boolean Masks.mp4 52MB
  41. 05 - Basic DataFrame Methods & Computations/005 Describe With Objects (Text) Values.mp4 52MB
  42. 06 - Series & Columns/005 nlargest & nsmallest.mp4 52MB
  43. 08 - Filtering DataFrames/001 Filtering DataFrames With A Boolean Series.mp4 51MB
  44. 15 - Grouping & Aggregating/001 Introducing Groupby.mp4 50MB
  45. 10 - Updating Values/003 Updating Values Using loc[].mp4 49MB
  46. 10 - Updating Values/007 SOLUTION Updating Values Exercise.mp4 49MB
  47. 04 - Dataframes & Datasets/002 pd.read_csv & DataFrames.mp4 48MB
  48. 12 - Working With Dates & Times/008 Date Math & TimeDeltas.mp4 47MB
  49. 07 - Indexing & Sorting/009 loc.mp4 46MB
  50. 16 - Hierarchical Indexing/004 Using .loc[] With A MultiIndex.mp4 45MB
  51. 06 - Series & Columns/010 SOLUTION Series & Plotting.mp4 45MB
  52. 04 - Dataframes & Datasets/003 Inspecting DataFrames head(), tail(), etc.mp4 45MB
  53. 02 - Setup & Installation/001 Introducing Jupyter Notebook!.mp4 45MB
  54. 17 - Working With Text/006 Replacing Portions of Strings With Replace().mp4 44MB
  55. 20 - Seaborn/011 The Amazing displot() Method.mp4 44MB
  56. 04 - Dataframes & Datasets/001 Datasets & CSV.mp4 43MB
  57. 21 - Seaborn Categorical Plots/007 The Big Boy Catplot Method.mp4 43MB
  58. 13 - Matplotlib/016 Creating Pie Charts.mp4 43MB
  59. 06 - Series & Columns/008 Using plot() to visualize!.mp4 42MB
  60. 20 - Seaborn/006 Resizing Seaborn Plots Aspect & Height.mp4 42MB
  61. 02 - Setup & Installation/003 Windows Installation Walkthrough.mp4 41MB
  62. 11 - Working With Types and NA Values/004 dropna() and isna().mp4 40MB
  63. 10 - Updating Values/002 The replace() method.mp4 40MB
  64. 14 - Revisiting Pandas Plotting/013 UFOS Plotting Challenge!.mp4 40MB
  65. 14 - Revisiting Pandas Plotting/015 Pandas Automatic Subplots.mp4 39MB
  66. 12 - Working With Dates & Times/001 Why Dates Matter.mp4 39MB
  67. 20 - Seaborn/010 Rugplots.mp4 39MB
  68. 03 - Working With Jupyter Notebook/001 Creating Notebooks & Running Cells.mp4 39MB
  69. 14 - Revisiting Pandas Plotting/003 Adding Labels and Titles to Pandas Plots.mp4 39MB
  70. 04 - Dataframes & Datasets/004 DataTypes and info().mp4 38MB
  71. 06 - Series & Columns/002 A Closer Look At Series.mp4 38MB
  72. 05 - Basic DataFrame Methods & Computations/001 Min & Max.mp4 38MB
  73. 15 - Grouping & Aggregating/004 Using The Agg Method.mp4 37MB
  74. 18 - Apply, Map, & Applymap/001 Applying Functions To Series.mp4 37MB
  75. 06 - Series & Columns/001 Selecting A Single Column.mp4 37MB
  76. 03 - Working With Jupyter Notebook/009 SOLUTION Jupyter Notebook.mp4 37MB
  77. 13 - Matplotlib/009 Changing X & Y Ticks.mp4 37MB
  78. 16 - Hierarchical Indexing/006 get_level_values().mp4 36MB
  79. 21 - Seaborn Categorical Plots/003 Boxplots.mp4 36MB
  80. 17 - Working With Text/005 Splitting Text Values With Split().mp4 35MB
  81. 04 - Dataframes & Datasets/008 Overriding Headers Country Population Dataset.mp4 35MB
  82. 06 - Series & Columns/007 The powerful value_counts() method.mp4 34MB
  83. 10 - Updating Values/001 Renaming Columns and Index Labels.mp4 34MB
  84. 12 - Working With Dates & Times/002 Converting With pd.to_datetime().mp4 34MB
  85. 14 - Revisiting Pandas Plotting/016 Manual Subplots With Pandas.mp4 34MB
  86. 09 - Adding & Removing Columns/001 Dropping Columns.mp4 33MB
  87. 20 - Seaborn/007 Seaborn Histograms.mp4 33MB
  88. 13 - Matplotlib/001 Intro to Matplotlib.mp4 33MB
  89. 03 - Working With Jupyter Notebook/004 Command Mode Shortcuts.mp4 33MB
  90. 16 - Hierarchical Indexing/009 Plotting With Unstack().mp4 32MB
  91. 09 - Adding & Removing Columns/002 Dropping Rows.mp4 32MB
  92. 13 - Matplotlib/019 Putting It All Together.mp4 32MB
  93. 09 - Adding & Removing Columns/008 SOLUTION AddingRemoving Columns & Rows.mp4 32MB
  94. 03 - Working With Jupyter Notebook/002 Shutting Down The Notebook Server.mp4 32MB
  95. 18 - Apply, Map, & Applymap/004 Apply() w DataFrames Rows.mp4 31MB
  96. 08 - Filtering DataFrames/007 Bitwise Negation.mp4 31MB
  97. 04 - Dataframes & Datasets/010 SOLUTION DataFrames & Datasets.mp4 30MB
  98. 11 - Working With Types and NA Values/007 SOLUTION Dealing With NA Values.mp4 30MB
  99. 11 - Working With Types and NA Values/005 fillna().mp4 30MB
  100. 09 - Adding & Removing Columns/003 Adding Static Columns.mp4 30MB
  101. 09 - Adding & Removing Columns/004 Creating New Dynamic Columns.mp4 30MB
  102. 19 - Combining Series & DataFrames/007 Merge() w Left, Right, Inner, & Outer Joins.mp4 29MB
  103. 03 - Working With Jupyter Notebook/005 Cell Types Markdown Time!.mp4 29MB
  104. 12 - Working With Dates & Times/006 Comparing Dates.mp4 29MB
  105. 20 - Seaborn/009 Bivariate Distribution Plots.mp4 29MB
  106. 21 - Seaborn Categorical Plots/005 Violinplots.mp4 29MB
  107. 17 - Working With Text/007 Testing Strings With Contains().mp4 28MB
  108. 17 - Working With Text/003 Indexing String Series With [].mp4 28MB
  109. 13 - Matplotlib/010 Adding Legends To Plots.mp4 28MB
  110. 16 - Hierarchical Indexing/002 Creating a MultiIndex With set_index.mp4 27MB
  111. 10 - Updating Values/004 Updating Multiple Values Using loc[].mp4 27MB
  112. 13 - Matplotlib/002 Our First Matplotlib Plots!.mp4 27MB
  113. 09 - Adding & Removing Columns/005 Finding The Highest pricesqft homes.mp4 27MB
  114. 09 - Adding & Removing Columns/006 Finding Largest Bitcoin Price Changes.mp4 27MB
  115. 07 - Indexing & Sorting/002 set_index The World Happiness Index Dataset.mp4 27MB
  116. 16 - Hierarchical Indexing/008 Stack() and Unstack().mp4 26MB
  117. 14 - Revisiting Pandas Plotting/012 Multiple Plots On The Same Axes.mp4 26MB
  118. 14 - Revisiting Pandas Plotting/001 A Pandas Plotting Recap.mp4 26MB
  119. 05 - Basic DataFrame Methods & Computations/003 Mean, Median, & Mode.mp4 26MB
  120. 16 - Hierarchical Indexing/001 Groupby With Multiple Columns.mp4 25MB
  121. 13 - Matplotlib/011 EXERCISE Matplotlib Challenge #1.mp4 25MB
  122. 08 - Filtering DataFrames/009 Filtering + Plotting Examples.mp4 25MB
  123. 15 - Grouping & Aggregating/006 Named Aggregation.mp4 25MB
  124. 15 - Grouping & Aggregating/007 EXERCISE Groupby.mp4 25MB
  125. 13 - Matplotlib/004 Anatomy of Plots.mp4 25MB
  126. 15 - Grouping & Aggregating/005 Agg with Custom Functions.mp4 24MB
  127. 13 - Matplotlib/015 Creating Scatter Plots.mp4 24MB
  128. 07 - Indexing & Sorting/004 sort_values intro.mp4 24MB
  129. 01 - Introduction/004 Downloading The Course Materials IMPORTANT!!.mp4 24MB
  130. 11 - Working With Types and NA Values/001 Casting Types With astype().mp4 24MB
  131. 18 - Apply, Map, & Applymap/002 Apply() With Lambdas & Arguments.mp4 23MB
  132. 06 - Series & Columns/003 Important Series Methods.mp4 23MB
  133. 19 - Combining Series & DataFrames/006 The DataFrame Merge() Method.mp4 23MB
  134. 05 - Basic DataFrame Methods & Computations/007 SOLUTION Basic DataFrame Methods.mp4 23MB
  135. 07 - Indexing & Sorting/011 loc & iloc with Series.mp4 23MB
  136. 08 - Filtering DataFrames/004 The isin() Method.mp4 23MB
  137. 14 - Revisiting Pandas Plotting/019 Exporting Figures With savefig().mp4 23MB
  138. 11 - Working With Types and NA Values/002 Introducing the Category Type.mp4 23MB
  139. 06 - Series & Columns/004 unique & nunique.mp4 22MB
  140. 14 - Revisiting Pandas Plotting/008 Box Plots.mp4 22MB
  141. 13 - Matplotlib/008 Plot Labels & Titles.mp4 22MB
  142. 07 - Indexing & Sorting/010 iloc.mp4 22MB
  143. 19 - Combining Series & DataFrames/001 Concatenating Series.mp4 22MB
  144. 14 - Revisiting Pandas Plotting/014 EXERCISE Pandas Plotting Challenge #3.mp4 22MB
  145. 05 - Basic DataFrame Methods & Computations/004 Describe With Numeric Values.mp4 21MB
  146. 16 - Hierarchical Indexing/003 Sorting A MultiIndex.mp4 21MB
  147. 09 - Adding & Removing Columns/007 EXERCISE AddingRemoving Columns & Rows.mp4 21MB
  148. 14 - Revisiting Pandas Plotting/010 EXERCISE Pandas Plotting Challenge #2.mp4 21MB
  149. 17 - Working With Text/001 The String Datatype Vs. Object Datatype.mp4 21MB
  150. 07 - Indexing & Sorting/012 EXERCISE Indexes & Sorting.mp4 21MB
  151. 17 - Working With Text/002 Upper(), Lower(), and Capitalize().mp4 21MB
  152. 08 - Filtering DataFrames/003 The Between Method.mp4 21MB
  153. 13 - Matplotlib/006 Changing Matplotlib Stylesheets.mp4 20MB
  154. 13 - Matplotlib/014 EXERCISE Matplotlib Challenge #2.mp4 20MB
  155. 22 - Controlling Seaborn Aesthetics/001 Changing Seaborn Themes.mp4 20MB
  156. 13 - Matplotlib/005 Figsize & Plot Dimensions.mp4 20MB
  157. 07 - Indexing & Sorting/003 setting index with read_csv.mp4 20MB
  158. 16 - Hierarchical Indexing/010 Grouping By Index.mp4 20MB
  159. 08 - Filtering DataFrames/008 isna() and notna() Methods.mp4 19MB
  160. 07 - Indexing & Sorting/006 sorting text columns.mp4 19MB
  161. 06 - Series & Columns/006 Selecting Multiple Columns.mp4 19MB
  162. 20 - Seaborn/002 The Helpful load_dataset() method.mp4 18MB
  163. 18 - Apply, Map, & Applymap/006 The ApplyMap() Method.mp4 18MB
  164. 22 - Controlling Seaborn Aesthetics/002 Customizing Styles with set_style().mp4 18MB
  165. 14 - Revisiting Pandas Plotting/009 Pandas Line Plots.mp4 18MB
  166. 07 - Indexing & Sorting/005 sorting by multiple columns.mp4 18MB
  167. 01 - Introduction/003 What Do You Need To Know To Take This Course.mp4 17MB
  168. 19 - Combining Series & DataFrames/002 Concatenating Series By Index.mp4 17MB
  169. 11 - Working With Types and NA Values/003 Casting With pd.to_numeric().mp4 17MB
  170. 16 - Hierarchical Indexing/007 Hierarchical Columns.mp4 16MB
  171. 14 - Revisiting Pandas Plotting/011 Pandas Scatter Plots.mp4 16MB
  172. 03 - Working With Jupyter Notebook/006 Restarting The Kernel.mp4 16MB
  173. 12 - Working With Dates & Times/010 EXERCISE Dates & Times.mp4 16MB
  174. 01 - Introduction/005 How The Exercises Work.mp4 16MB
  175. 02 - Setup & Installation/004 Installing Pandas & Matplotlib (Mac & Windows).mp4 16MB
  176. 03 - Working With Jupyter Notebook/007 Viewing The Docs Inside A Notebook.mp4 15MB
  177. 19 - Combining Series & DataFrames/004 Concatenating DataFrames By Columns.mp4 15MB
  178. 20 - Seaborn/008 KDE Plots.mp4 15MB
  179. 17 - Working With Text/004 Stripping Whitespace With Strip().mp4 15MB
  180. 14 - Revisiting Pandas Plotting/007 Pandas Histograms.mp4 14MB
  181. 18 - Apply, Map, & Applymap/003 Apply() w DataFrames Columns.mp4 13MB
  182. 07 - Indexing & Sorting/007 sort_index.mp4 13MB
  183. 07 - Indexing & Sorting/008 Sorting and Plotting!.mp4 13MB
  184. 06 - Series & Columns/009 EXERCISE Series & Plotting.mp4 13MB
  185. 08 - Filtering DataFrames/010 EXERCISE Filtering.mp4 13MB
  186. 22 - Controlling Seaborn Aesthetics/003 Altering Spines With despine().mp4 12MB
  187. 19 - Combining Series & DataFrames/005 Concatenating DataFrames By Index.mp4 12MB
  188. 03 - Working With Jupyter Notebook/008 EXERCISE Jupyter Notebook.mp4 12MB
  189. 21 - Seaborn Categorical Plots/001 Countplot.mp4 11MB
  190. 13 - Matplotlib/017 EXERCISE Matplotlib Challenge #3.mp4 11MB
  191. 21 - Seaborn Categorical Plots/004 Boxenplots.mp4 11MB
  192. 19 - Combining Series & DataFrames/003 Inner vs. Outer Joins.mp4 11MB
  193. 14 - Revisiting Pandas Plotting/004 Using rename() When Plotting.mp4 11MB
  194. 04 - Dataframes & Datasets/009 EXERCISE DataFrames & Datasets.mp4 10MB
  195. 18 - Apply, Map, & Applymap/005 The Series Map() Method.mp4 9MB
  196. 03 - Working With Jupyter Notebook/003 How Cell Output Works.mp4 9MB
  197. 05 - Basic DataFrame Methods & Computations/006 EXERCISE Basic DataFrame Methods.mp4 9MB
  198. 14 - Revisiting Pandas Plotting/002 Changing Pandas Plot Styles.mp4 9MB
  199. 11 - Working With Types and NA Values/006 EXERCISE Dealing With NA Values.mp4 9MB
  200. 13 - Matplotlib/003 Do We Need plt.show().mp4 8MB
  201. 10 - Updating Values/006 EXERCISE Updating Values.mp4 8MB
  202. 16 - Hierarchical Indexing/005 Cross Sections With The XS Method.mp4 6MB
  203. 12 - Working With Dates & Times/011 SOLUTION Dates & Times_en.srt 21KB
  204. 08 - Filtering DataFrames/005 Combining Conditions Using AND (&)_en.srt 18KB
  205. 20 - Seaborn/004 Seaborn Lineplots_en.srt 18KB
  206. 12 - Working With Dates & Times/009 Billboard Charts Dataset Exploration_en.srt 18KB
  207. 06 - Series & Columns/008 Using plot() to visualize!_en.srt 17KB
  208. 08 - Filtering DataFrames/006 Combining Conditions Using OR ()_en.srt 16KB
  209. 13 - Matplotlib/013 Creating Histograms_en.srt 15KB
  210. 14 - Revisiting Pandas Plotting/017 EXERCISE Pandas Plotting Challenge #4_en.srt 15KB
  211. 13 - Matplotlib/018 Working With Subplots_en.srt 15KB
  212. 20 - Seaborn/003 Seaborn Scatterplots_en.srt 15KB
  213. 15 - Grouping & Aggregating/008 SOLUTION Groupby_en.srt 15KB
  214. 08 - Filtering DataFrames/011 SOLUTION Filtering Exercise_en.srt 15KB
  215. 16 - Hierarchical Indexing/004 Using .loc[] With A MultiIndex_en.srt 15KB
  216. 15 - Grouping & Aggregating/002 Exploring Groups_en.srt 15KB
  217. 14 - Revisiting Pandas Plotting/018 EXERCISE Pandas Plotting Challenge #5_en.srt 14KB
  218. 05 - Basic DataFrame Methods & Computations/002 Sum & Count_en.srt 14KB
  219. 13 - Matplotlib/012 Creating Bar Plots_en.srt 14KB
  220. 07 - Indexing & Sorting/013 SOLUTION Indexes & Sorting_en.srt 14KB
  221. 12 - Working With Dates & Times/005 The Useful dt Properties_en.srt 14KB
  222. 07 - Indexing & Sorting/001 Set_Index Basics_en.srt 14KB
  223. 19 - Combining Series & DataFrames/008 Merge() On and Suffixes Arguments_en.srt 14KB
  224. 21 - Seaborn Categorical Plots/003 Boxplots_en.srt 14KB
  225. 13 - Matplotlib/004 Anatomy of Plots_en.srt 14KB
  226. 08 - Filtering DataFrames/001 Filtering DataFrames With A Boolean Series_en.srt 14KB
  227. 12 - Working With Dates & Times/003 Specifying Fancy Formats With pd.to_datetime()_en.srt 14KB
  228. 20 - Seaborn/005 The relplot() Method_en.srt 14KB
  229. 04 - Dataframes & Datasets/006 The Titanic Passenger Dataset Walkthrough_en.srt 14KB
  230. 04 - Dataframes & Datasets/010 SOLUTION DataFrames & Datasets_en.srt 14KB
  231. 20 - Seaborn/001 Intro to Seaborn_en.srt 13KB
  232. 06 - Series & Columns/010 SOLUTION Series & Plotting_en.srt 13KB
  233. 21 - Seaborn Categorical Plots/006 Barplots_en.srt 13KB
  234. 21 - Seaborn Categorical Plots/002 Strip & Swarm Plots_en.srt 13KB
  235. 15 - Grouping & Aggregating/003 Split-Apply-Combine_en.srt 13KB
  236. 06 - Series & Columns/002 A Closer Look At Series_en.srt 13KB
  237. 22 - Controlling Seaborn Aesthetics/004 Changing Color Palettes_en.srt 13KB
  238. 13 - Matplotlib/020 EXERCISE Matplotlib Challenge #4_en.srt 13KB
  239. 12 - Working With Dates & Times/008 Date Math & TimeDeltas_en.srt 13KB
  240. 01 - Introduction/001 Course Welcome & Curriculum Walkthrough_en.srt 13KB
  241. 04 - Dataframes & Datasets/007 Non-comma Separators Netflix Dataset_en.srt 13KB
  242. 06 - Series & Columns/007 The powerful value_counts() method_en.srt 13KB
  243. 11 - Working With Types and NA Values/004 dropna() and isna()_en.srt 13KB
  244. 12 - Working With Dates & Times/007 Finding StarLink Flybys In UFO Dataset_en.srt 13KB
  245. 08 - Filtering DataFrames/002 Filtering With Comparison Operators_en.srt 12KB
  246. 21 - Seaborn Categorical Plots/007 The Big Boy Catplot Method_en.srt 12KB
  247. 10 - Updating Values/003 Updating Values Using loc[]_en.srt 12KB
  248. 16 - Hierarchical Indexing/003 Sorting A MultiIndex_en.srt 12KB
  249. 14 - Revisiting Pandas Plotting/015 Pandas Automatic Subplots_en.srt 12KB
  250. 03 - Working With Jupyter Notebook/006 Restarting The Kernel_en.srt 12KB
  251. 14 - Revisiting Pandas Plotting/006 EXERCISE Pandas Plotting Challenge #1_en.srt 12KB
  252. 05 - Basic DataFrame Methods & Computations/005 Describe With Objects (Text) Values_en.srt 12KB
  253. 18 - Apply, Map, & Applymap/001 Applying Functions To Series_en.srt 12KB
  254. 07 - Indexing & Sorting/009 loc_en.srt 11KB
  255. 16 - Hierarchical Indexing/009 Plotting With Unstack()_en.srt 11KB
  256. 16 - Hierarchical Indexing/006 get_level_values()_en.srt 11KB
  257. 02 - Setup & Installation/003 Windows Installation Walkthrough_en.srt 11KB
  258. 06 - Series & Columns/001 Selecting A Single Column_en.srt 11KB
  259. 10 - Updating Values/005 Making Updates With loc[] and Boolean Masks_en.srt 11KB
  260. 10 - Updating Values/007 SOLUTION Updating Values Exercise_en.srt 11KB
  261. 14 - Revisiting Pandas Plotting/003 Adding Labels and Titles to Pandas Plots_en.srt 11KB
  262. 12 - Working With Dates & Times/002 Converting With pd.to_datetime()_en.srt 11KB
  263. 03 - Working With Jupyter Notebook/001 Creating Notebooks & Running Cells_en.srt 11KB
  264. 14 - Revisiting Pandas Plotting/005 Closer Look at Pandas Bar Plots_en.srt 11KB
  265. 13 - Matplotlib/002 Our First Matplotlib Plots!_en.srt 11KB
  266. 04 - Dataframes & Datasets/003 Inspecting DataFrames head(), tail(), etc_en.srt 11KB
  267. 03 - Working With Jupyter Notebook/009 SOLUTION Jupyter Notebook_en.srt 11KB
  268. 17 - Working With Text/001 The String Datatype Vs. Object Datatype_en.srt 11KB
  269. 10 - Updating Values/002 The replace() method_en.srt 11KB
  270. 13 - Matplotlib/007 Line Styles, Colors, Widths, and More!_en.srt 11KB
  271. 20 - Seaborn/006 Resizing Seaborn Plots Aspect & Height_en.srt 11KB
  272. 09 - Adding & Removing Columns/004 Creating New Dynamic Columns_en.srt 11KB
  273. 15 - Grouping & Aggregating/004 Using The Agg Method_en.srt 11KB
  274. 14 - Revisiting Pandas Plotting/013 UFOS Plotting Challenge!_en.srt 11KB
  275. 02 - Setup & Installation/002 Mac Installation Walkthrough_en.srt 10KB
  276. 12 - Working With Dates & Times/004 Dates and DataFrames_en.srt 10KB
  277. 17 - Working With Text/006 Replacing Portions of Strings With Replace()_en.srt 10KB
  278. 11 - Working With Types and NA Values/001 Casting Types With astype()_en.srt 10KB
  279. 16 - Hierarchical Indexing/001 Groupby With Multiple Columns_en.srt 10KB
  280. 03 - Working With Jupyter Notebook/004 Command Mode Shortcuts_en.srt 10KB
  281. 17 - Working With Text/005 Splitting Text Values With Split()_en.srt 10KB
  282. 04 - Dataframes & Datasets/002 pd.read_csv & DataFrames_en.srt 10KB
  283. 08 - Filtering DataFrames/007 Bitwise Negation_en.srt 10KB
  284. 20 - Seaborn/011 The Amazing displot() Method_en.srt 10KB
  285. 19 - Combining Series & DataFrames/007 Merge() w Left, Right, Inner, & Outer Joins_en.srt 10KB
  286. 13 - Matplotlib/009 Changing X & Y Ticks_en.srt 10KB
  287. 09 - Adding & Removing Columns/002 Dropping Rows_en.srt 10KB
  288. 18 - Apply, Map, & Applymap/004 Apply() w DataFrames Rows_en.srt 10KB
  289. 09 - Adding & Removing Columns/003 Adding Static Columns_en.srt 9KB
  290. 04 - Dataframes & Datasets/001 Datasets & CSV_en.srt 9KB
  291. 02 - Setup & Installation/001 Introducing Jupyter Notebook!_en.srt 9KB
  292. 03 - Working With Jupyter Notebook/002 Shutting Down The Notebook Server_en.srt 9KB
  293. 09 - Adding & Removing Columns/001 Dropping Columns_en.srt 9KB
  294. 05 - Basic DataFrame Methods & Computations/001 Min & Max_en.srt 9KB
  295. 20 - Seaborn/007 Seaborn Histograms_en.srt 9KB
  296. 13 - Matplotlib/019 Putting It All Together_en.srt 9KB
  297. 08 - Filtering DataFrames/009 Filtering + Plotting Examples_en.srt 9KB
  298. 07 - Indexing & Sorting/011 loc & iloc with Series_en.srt 9KB
  299. 20 - Seaborn/010 Rugplots_en.srt 9KB
  300. 16 - Hierarchical Indexing/002 Creating a MultiIndex With set_index_en.srt 9KB
  301. 13 - Matplotlib/016 Creating Pie Charts_en.srt 9KB
  302. 13 - Matplotlib/008 Plot Labels & Titles_en.srt 9KB
  303. 22 - Controlling Seaborn Aesthetics/002 Customizing Styles with set_style()_en.srt 9KB
  304. 17 - Working With Text/003 Indexing String Series With []_en.srt 9KB
  305. 14 - Revisiting Pandas Plotting/016 Manual Subplots With Pandas_en.srt 9KB
  306. 04 - Dataframes & Datasets/005 The House Sales Dataset Walkthrough_en.srt 8KB
  307. 12 - Working With Dates & Times/006 Comparing Dates_en.srt 8KB
  308. 05 - Basic DataFrame Methods & Computations/003 Mean, Median, & Mode_en.srt 8KB
  309. 07 - Indexing & Sorting/002 set_index The World Happiness Index Dataset_en.srt 8KB
  310. 14 - Revisiting Pandas Plotting/001 A Pandas Plotting Recap_en.srt 8KB
  311. 20 - Seaborn/009 Bivariate Distribution Plots_en.srt 8KB
  312. 15 - Grouping & Aggregating/001 Introducing Groupby_en.srt 8KB
  313. 14 - Revisiting Pandas Plotting/009 Pandas Line Plots_en.srt 8KB
  314. 11 - Working With Types and NA Values/005 fillna()_en.srt 8KB
  315. 03 - Working With Jupyter Notebook/005 Cell Types Markdown Time!_en.srt 8KB
  316. 14 - Revisiting Pandas Plotting/012 Multiple Plots On The Same Axes_en.srt 8KB
  317. 13 - Matplotlib/010 Adding Legends To Plots_en.srt 8KB
  318. 06 - Series & Columns/004 unique & nunique_en.srt 8KB
  319. 07 - Indexing & Sorting/008 Sorting and Plotting!_en.srt 8KB
  320. 09 - Adding & Removing Columns/008 SOLUTION AddingRemoving Columns & Rows_en.srt 8KB
  321. 06 - Series & Columns/003 Important Series Methods_en.srt 8KB
  322. 10 - Updating Values/001 Renaming Columns and Index Labels_en.srt 7KB
  323. 16 - Hierarchical Indexing/010 Grouping By Index_en.srt 7KB
  324. 09 - Adding & Removing Columns/006 Finding Largest Bitcoin Price Changes_en.srt 7KB
  325. 19 - Combining Series & DataFrames/001 Concatenating Series_en.srt 7KB
  326. 12 - Working With Dates & Times/010 EXERCISE Dates & Times_en.srt 7KB
  327. 15 - Grouping & Aggregating/005 Agg with Custom Functions_en.srt 7KB
  328. 04 - Dataframes & Datasets/004 DataTypes and info()_en.srt 7KB
  329. 13 - Matplotlib/011 EXERCISE Matplotlib Challenge #1_en.srt 7KB
  330. 02 - Setup & Installation/004 Installing Pandas & Matplotlib (Mac & Windows)_en.srt 7KB
  331. 18 - Apply, Map, & Applymap/002 Apply() With Lambdas & Arguments_en.srt 7KB
  332. 13 - Matplotlib/015 Creating Scatter Plots_en.srt 7KB
  333. 16 - Hierarchical Indexing/007 Hierarchical Columns_en.srt 7KB
  334. 14 - Revisiting Pandas Plotting/008 Box Plots_en.srt 7KB
  335. 05 - Basic DataFrame Methods & Computations/007 SOLUTION Basic DataFrame Methods_en.srt 7KB
  336. 11 - Working With Types and NA Values/007 SOLUTION Dealing With NA Values_en.srt 7KB
  337. 05 - Basic DataFrame Methods & Computations/004 Describe With Numeric Values_en.srt 7KB
  338. 11 - Working With Types and NA Values/003 Casting With pd.to_numeric()_en.srt 7KB
  339. 13 - Matplotlib/001 Intro to Matplotlib_en.srt 7KB
  340. 20 - Seaborn/002 The Helpful load_dataset() method_en.srt 7KB
  341. 19 - Combining Series & DataFrames/004 Concatenating DataFrames By Columns_en.srt 7KB
  342. 19 - Combining Series & DataFrames/006 The DataFrame Merge() Method_en.srt 7KB
  343. 13 - Matplotlib/017 EXERCISE Matplotlib Challenge #3_en.srt 7KB
  344. 11 - Working With Types and NA Values/002 Introducing the Category Type_en.srt 7KB
  345. 13 - Matplotlib/005 Figsize & Plot Dimensions_en.srt 7KB
  346. 07 - Indexing & Sorting/012 EXERCISE Indexes & Sorting_en.srt 7KB
  347. 04 - Dataframes & Datasets/008 Overriding Headers Country Population Dataset_en.srt 7KB
  348. 22 - Controlling Seaborn Aesthetics/001 Changing Seaborn Themes_en.srt 7KB
  349. 13 - Matplotlib/014 EXERCISE Matplotlib Challenge #2_en.srt 6KB
  350. 10 - Updating Values/004 Updating Multiple Values Using loc[]_en.srt 6KB
  351. 19 - Combining Series & DataFrames/002 Concatenating Series By Index_en.srt 6KB
  352. 17 - Working With Text/004 Stripping Whitespace With Strip()_en.srt 6KB
  353. 14 - Revisiting Pandas Plotting/010 EXERCISE Pandas Plotting Challenge #2_en.srt 6KB
  354. 07 - Indexing & Sorting/004 sort_values intro_en.srt 6KB
  355. 13 - Matplotlib/006 Changing Matplotlib Stylesheets_en.srt 6KB
  356. 15 - Grouping & Aggregating/006 Named Aggregation_en.srt 6KB
  357. 17 - Working With Text/002 Upper(), Lower(), and Capitalize()_en.srt 6KB
  358. 09 - Adding & Removing Columns/005 Finding The Highest pricesqft homes_en.srt 6KB
  359. 18 - Apply, Map, & Applymap/006 The ApplyMap() Method_en.srt 6KB
  360. 17 - Working With Text/007 Testing Strings With Contains()_en.srt 6KB
  361. 18 - Apply, Map, & Applymap/003 Apply() w DataFrames Columns_en.srt 6KB
  362. 15 - Grouping & Aggregating/007 EXERCISE Groupby_en.srt 6KB
  363. 21 - Seaborn Categorical Plots/001 Countplot_en.srt 6KB
  364. 07 - Indexing & Sorting/010 iloc_en.srt 6KB
  365. 12 - Working With Dates & Times/001 Why Dates Matter_en.srt 6KB
  366. 16 - Hierarchical Indexing/008 Stack() and Unstack()_en.srt 6KB
  367. 06 - Series & Columns/006 Selecting Multiple Columns_en.srt 6KB
  368. 07 - Indexing & Sorting/006 sorting text columns_en.srt 5KB
  369. 08 - Filtering DataFrames/004 The isin() Method_en.srt 5KB
  370. 09 - Adding & Removing Columns/007 EXERCISE AddingRemoving Columns & Rows_en.srt 5KB
  371. 14 - Revisiting Pandas Plotting/014 EXERCISE Pandas Plotting Challenge #3_en.srt 5KB
  372. 19 - Combining Series & DataFrames/003 Inner vs. Outer Joins_en.srt 5KB
  373. 04 - Dataframes & Datasets/009 EXERCISE DataFrames & Datasets_en.srt 5KB
  374. 19 - Combining Series & DataFrames/005 Concatenating DataFrames By Index_en.srt 5KB
  375. 06 - Series & Columns/009 EXERCISE Series & Plotting_en.srt 5KB
  376. 08 - Filtering DataFrames/008 isna() and notna() Methods_en.srt 5KB
  377. 14 - Revisiting Pandas Plotting/004 Using rename() When Plotting_en.srt 5KB
  378. 03 - Working With Jupyter Notebook/007 Viewing The Docs Inside A Notebook_en.srt 5KB
  379. 07 - Indexing & Sorting/005 sorting by multiple columns_en.srt 5KB
  380. 03 - Working With Jupyter Notebook/008 EXERCISE Jupyter Notebook_en.srt 5KB
  381. 14 - Revisiting Pandas Plotting/007 Pandas Histograms_en.srt 4KB
  382. 22 - Controlling Seaborn Aesthetics/003 Altering Spines With despine()_en.srt 4KB
  383. 18 - Apply, Map, & Applymap/005 The Series Map() Method_en.srt 4KB
  384. 01 - Introduction/004 Downloading The Course Materials IMPORTANT!!_en.srt 4KB
  385. 14 - Revisiting Pandas Plotting/019 Exporting Figures With savefig()_en.srt 4KB
  386. 03 - Working With Jupyter Notebook/003 How Cell Output Works_en.srt 4KB
  387. 14 - Revisiting Pandas Plotting/011 Pandas Scatter Plots_en.srt 4KB
  388. 14 - Revisiting Pandas Plotting/002 Changing Pandas Plot Styles_en.srt 4KB
  389. 08 - Filtering DataFrames/003 The Between Method_en.srt 4KB
  390. 07 - Indexing & Sorting/003 setting index with read_csv_en.srt 4KB
  391. 01 - Introduction/005 How The Exercises Work_en.srt 4KB
  392. 20 - Seaborn/008 KDE Plots_en.srt 4KB
  393. 13 - Matplotlib/003 Do We Need plt.show()_en.srt 4KB
  394. 21 - Seaborn Categorical Plots/004 Boxenplots_en.srt 3KB
  395. 07 - Indexing & Sorting/007 sort_index_en.srt 3KB
  396. 10 - Updating Values/006 EXERCISE Updating Values_en.srt 3KB
  397. 16 - Hierarchical Indexing/005 Cross Sections With The XS Method_en.srt 3KB
  398. 01 - Introduction/003 What Do You Need To Know To Take This Course_en.srt 3KB
  399. 05 - Basic DataFrame Methods & Computations/006 EXERCISE Basic DataFrame Methods_en.srt 3KB
  400. 11 - Working With Types and NA Values/006 EXERCISE Dealing With NA Values_en.srt 2KB
  401. 01 - Introduction/002 Join The Community!.html 913B
  402. 01 - Introduction/004 Course-Slides.url 180B
  403. 01 - Introduction/external-links.txt 179B
  404. 02 - Setup & Installation/external-links.txt 162B
  405. 0. Websites you may like/[CourseClub.Me].url 122B
  406. 03 - Working With Jupyter Notebook/[CourseClub.Me].url 122B
  407. 11 - Working With Types and NA Values/[CourseClub.Me].url 122B
  408. 20 - Seaborn/[CourseClub.Me].url 122B
  409. [CourseClub.Me].url 122B
  410. 03 - Working With Jupyter Notebook/external-links.txt 74B
  411. 02 - Setup & Installation/002 Anaconda-Individual-Edition.url 68B
  412. 02 - Setup & Installation/003 Anaconda-Individual-Edition.url 68B
  413. 03 - Working With Jupyter Notebook/005 Markdown-Syntax-Guide.url 67B
  414. 0. Websites you may like/[GigaCourse.Com].url 49B
  415. 03 - Working With Jupyter Notebook/[GigaCourse.Com].url 49B
  416. 11 - Working With Types and NA Values/[GigaCourse.Com].url 49B
  417. 20 - Seaborn/[GigaCourse.Com].url 49B
  418. [GigaCourse.Com].url 49B