| Stored files |
| "01-Introduction\1-Course_Welcome_Curriculum_Walkthrough.mkv" | 220,736,796 | D508E85F |
| "01-Introduction\4-Resources\DataAnalysisCourseMaterials.zip" | 126,952,265 | 32488897 |
| "02-Setup_Installation\8-Mac_Installation_Walkthrough.mkv" | 112,871,832 | 347117D9 |
| "04-Dataframes_Datasets\26-The_Titanic_Passenger_Dataset_Walkthrough.mkv" | 137,022,385 | 7CAB3E3F |
| "04-Dataframes_Datasets\27-Non_comma_Separators_Netflix_Dataset.mkv" | 127,094,909 | 44CABDBF |
| "05-Basic_DataFrame_Methods_Computations\32-Sum_Count.mkv" | 132,452,976 | F032BDD9 |
| "06-Series_Columns\42-nlargest_nsmallest.mkv" | 101,024,189 | 16FD6649 |
| "07-Indexing_Sorting\48-Set_Index_Basics.mkv" | 102,980,499 | 80069682 |
| "07-Indexing_Sorting\60-SOLUTION_Indexes_Sorting.mkv" | 102,589,210 | FD9FABAE |
| "08-Filtering_DataFrames\62-Filtering_With_Comparison_Operators.mkv" | 102,046,431 | AC12CDDD |
| "08-Filtering_DataFrames\65-Combining_Conditions_Using_AND.mkv" | 133,376,753 | 9E216620 |
| "08-Filtering_DataFrames\66-Combining_Conditions_Using_OR.mkv" | 159,953,298 | 7E6F6ADD |
| "08-Filtering_DataFrames\71-SOLUTION_Filtering_Exercise.mkv" | 108,910,324 | 5C12AA11 |
| "12-Working_With_Dates_Times\100-Finding_StarLink_Flybys_In_UFO_Dataset.mkv" | 110,525,085 | E9CD4633 |
| "12-Working_With_Dates_Times\102-Billboard_Charts_Dataset_Exploration.mkv" | 150,789,794 | ABD77B89 |
| "12-Working_With_Dates_Times\104-SOLUTION_Dates_Times.mkv" | 149,445,431 | CC2E5DFB |
| "12-Working_With_Dates_Times\96-Specifying_Fancy_Formats_With_pd.to_datetime.mkv" | 106,142,535 | 02E92D5D |
| "12-Working_With_Dates_Times\97-Dates_and_DataFrames.mkv" | 120,168,755 | 068794E9 |
| "13-Matplotlib\111-Line_Styles_Colors_Widths_and_More.mkv" | 123,545,958 | 1271CAF4 |
| "13-Matplotlib\116-Creating_Bar_Plots.mkv" | 119,303,447 | 4E111738 |
| "13-Matplotlib\117-Creating_Histograms.mkv" | 117,784,620 | 4C4B8AAA |
| "13-Matplotlib\122-Working_With_Subplots.mkv" | 134,456,220 | 7D964828 |
| "13-Matplotlib\124-EXERCISE_Matplotlib_Challenge_4.mkv" | 116,599,381 | 3664E5B7 |
| "14-Revisiting_Pandas_Plotting\141-EXERCISE_Pandas_Plotting_Challenge_4.mkv" | 192,091,652 | DAA4169F |
| "14-Revisiting_Pandas_Plotting\142-EXERCISE_Pandas_Plotting_Challenge_5.mkv" | 164,678,120 | 1CBE7CCC |
| "15-Grouping_Aggregating\145-Exploring_Groups.mkv" | 127,622,817 | D3388CDF |
| "15-Grouping_Aggregating\146-Split_Apply_Combine.mkv" | 101,820,655 | 9A0D63BF |
| "15-Grouping_Aggregating\151-SOLUTION_Groupby.mkv" | 105,325,525 | CF459A10 |
| "19-Combining_Series_DataFrames\182-Merge_On_and_Suffixes_Arguments.mkv" | 103,332,858 | D2DE7514 |
| "20-Seaborn\183-Intro_to_Seaborn.mkv" | 115,257,569 | 0A2BC605 |
| "20-Seaborn\185-Seaborn_Scatterplots.mkv" | 136,141,018 | 701F7078 |
| "20-Seaborn\186-Seaborn_Lineplots.mkv" | 153,600,851 | 06296DF9 |
| "20-Seaborn\187-The_relplot_Method.mkv" | 106,674,930 | 8E11E3D7 |
| "21-Seaborn_Categorical_Plots\195-Strip_Swarm_Plots.mkv" | 121,399,847 | 71A453F4 |
| "22-Controlling_Seaborn_Aesthetics\204-Changing_Color_Palettes.mkv" | 102,485,805 | 130C4101 |
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