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[] Udemy - 2022 Python Data Analysis and Visualization Masterclass

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  • 文件大小:8GB
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文件列表

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