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001 Controlling plot aesthetics.en.srt |
15.84KB |
001 Controlling plot aesthetics.mp4 |
146.40MB |
001 Course structure.en.srt |
1.74KB |
001 Course structure.mp4 |
9.46MB |
001 Introduction to datasets.en.srt |
5.66KB |
001 Introduction to datasets.mp4 |
57.07MB |
001 Modifying a pandas DataFrame using the inplace parameter.en.srt |
9.29KB |
001 Modifying a pandas DataFrame using the inplace parameter.mp4 |
105.40MB |
001 Thank you.en.srt |
1.69KB |
001 Thank you.mp4 |
23.30MB |
001 Using advanced options while reading data from CSV files.en.srt |
14.71KB |
001 Using advanced options while reading data from CSV files.mp4 |
158.12MB |
002 Choosing the colors for plots.en.srt |
9.09KB |
002 Choosing the colors for plots.mp4 |
82.91MB |
002 Reading data from Excel files.en.srt |
17.25KB |
002 Reading data from Excel files.mp4 |
196.13MB |
002 Sorting a pandas DataFrame.en.srt |
9.53KB |
002 Sorting a pandas DataFrame.mp4 |
104.41MB |
002 Using the groupby method.en.srt |
11.50KB |
002 Using the groupby method.mp4 |
127.52MB |
002 What is the prerequisite of this course.en.srt |
1.32KB |
002 What is the prerequisite of this course.mp4 |
6.41MB |
003 Filtering rows of a pandas DataFrame.en.srt |
7.89KB |
003 Filtering rows of a pandas DataFrame.mp4 |
81.56MB |
003 Handling missing values in pandas.en.srt |
11.55KB |
003 Handling missing values in pandas.mp4 |
105.53MB |
003 How To Make The Most Out Of This Course.en.srt |
2.54KB |
003 How To Make The Most Out Of This Course.mp4 |
8.20MB |
003 Plotting categorical data.en.srt |
6.73KB |
003 Plotting categorical data.mp4 |
57.04MB |
003 Reading data from other popular formats.en.srt |
2.88KB |
003 Reading data from other popular formats.mp4 |
140.72MB |
004 Applying multiple filter criteria to a pandas DataFrame.en.srt |
11.46KB |
004 Applying multiple filter criteria to a pandas DataFrame.mp4 |
138.49MB |
004 Important note about tools in this course.en.srt |
1.72KB |
004 Important note about tools in this course.mp4 |
5.09MB |
004 Indexing in pandas DataFrames.en.srt |
6.14KB |
004 Indexing in pandas DataFrames.mp4 |
70.15MB |
004 Plotting with Data-Aware Grids.en.srt |
10.24KB |
004 Plotting with Data-Aware Grids.mp4 |
99.98MB |
005 IMDB.csv |
39.05KB |
005 Renaming columns in a pandas DataFrame.en.srt |
8.56KB |
005 Renaming columns in a pandas DataFrame.mp4 |
82.75MB |
005 Summary.en.srt |
1.51KB |
005 Summary.mp4 |
6.62MB |
005 Using_advanced_options_while_reading_data_from_CSV_file.ipynb |
102.35KB |
005 Using the axis parameter in pandas.en.srt |
8.24KB |
005 Using the axis parameter in pandas.mp4 |
95.16MB |
006 Basic_Excel_read.ipynb |
156.57KB |
006 IMDB.xlsx |
81.18KB |
006 Removing columns from a pandas DataFrame.en.srt |
5.31KB |
006 Removing columns from a pandas DataFrame.mp4 |
71.12MB |
006 Using string methods in pandas.en.srt |
5.81KB |
006 Using string methods in pandas.mp4 |
61.49MB |
007 Changing the datatype of a pandas series.en.srt |
6.90KB |
007 Changing the datatype of a pandas series.mp4 |
74.60MB |
007 IMDB.html |
378.53KB |
007 IMDB.json |
156.47KB |
007 IMDB.p |
58.70KB |
007 IMDB.sqlite |
52.00KB |
007 Reading_data_from_other_formats.ipynb |
53.85KB |
007 Working with date and time series data.en.srt |
10.39KB |
007 Working with date and time series data.mp4 |
97.36MB |
008 Applying a function to a pandas series or DataFrame.en.srt |
5.99KB |
008 Applying a function to a pandas series or DataFrame.mp4 |
57.09MB |
008 data-zillow.csv |
661.53KB |
008 Selecting_data_from_the_dataset.ipynb |
7.95KB |
008 Summary.en.srt |
3.25KB |
008 Summary.mp4 |
18.79MB |
009 Merging and concatenating multiple DataFrames into one.en.srt |
9.25KB |
009 Merging and concatenating multiple DataFrames into one.mp4 |
84.40MB |
009 Selecting_data_from_the_dataset (1).ipynb |
29.88KB |
010 Selecting_data_from_the_dataset (2).ipynb |
47.91KB |
010 Summary.en.srt |
1.74KB |
010 Summary.mp4 |
8.77MB |
011 Selecting_data_from_the_dataset (3).ipynb |
74.31KB |
012 Selecting_data_from_the_dataset (4).ipynb |
96.66KB |
013 Selecting_data_from_the_dataset (5).ipynb |
107.71KB |
014 Selecting_data_from_the_dataset (6).ipynb |
118.24KB |
016 data-movies-top-grossing.csv |
2.46KB |
016 Modifying_a_pandas_DataFrame_using_the_inplace_parameter.ipynb |
38.76KB |
017 data-zillow1.csv |
661.53KB |
017 Using_the_groupby_method.ipynb |
92.52KB |
018 data-titanic.csv |
59.76KB |
018 Handling_missing_values_in_pandas.ipynb |
15.87KB |
019 Handling_missing_values_in_pandas (1).ipynb |
45.47KB |
020 Renaming_columns_in_a_pandas_DataFrame.ipynb |
11.39KB |
021 Removing_columns_from_a_pandas_DataFrame.ipynb |
19.55KB |
022 Working_with_date_and_time_series_data.ipynb |
19.10KB |
023 Applying_a_function_to_a_pandas_series_or_DataFrame.ipynb |
18.57KB |
024 Merging_and_concatenating_multiple_DataFrames_into_one.ipynb |
38.94KB |
026 Controlling_plot_aesthetics.ipynb |
257.46KB |
026 data-alcohol.csv |
4.47KB |
027 Choosing_the_colors_for_plots.ipynb |
75.75KB |
028 data_simpsons_episodes.csv |
116.92KB |
028 Plotting_categorical_data.ipynb |
186.40KB |
029 data-mlb-players.csv |
28.06KB |
029 Plotting_with_Data_Aware_Grids.ipynb |
283.80KB |
Bonus Resources.txt |
357B |
Get Bonus Downloads Here.url |
183B |