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[GigaCourse.Com] Udemy - 2022 Python Data Analysis and Visualization Masterclass
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文档列表
01 - Introduction/003 DataAnalysisCourseMaterials.zip
126.4 MB
01 - Introduction/001 Course Welcome & Curriculum Walkthrough.mp4
122.6 MB
12 - Working With Dates & Times/011 SOLUTION Dates & Times.mp4
121.4 MB
14 - Revisiting Pandas Plotting/018 EXERCISE Pandas Plotting Challenge #5.mp4
114.5 MB
14 - Revisiting Pandas Plotting/017 EXERCISE Pandas Plotting Challenge #4.mp4
113.1 MB
08 - Filtering DataFrames/006 Combining Conditions Using OR ().mp4
95.6 MB
12 - Working With Dates & Times/009 Billboard Charts Dataset Exploration.mp4
93.2 MB
20 - Seaborn/004 Seaborn Lineplots.mp4
90.7 MB
08 - Filtering DataFrames/011 SOLUTION Filtering Exercise.mp4
90.1 MB
04 - Dataframes & Datasets/007 Non-comma Separators Netflix Dataset.mp4
89.3 MB
20 - Seaborn/005 The relplot() Method.mp4
89.1 MB
08 - Filtering DataFrames/005 Combining Conditions Using AND (&).mp4
87.7 MB
07 - Indexing & Sorting/013 SOLUTION Indexes & Sorting.mp4
87.2 MB
04 - Dataframes & Datasets/010 SOLUTION DataFrames & Datasets.mp4
86.3 MB
04 - Dataframes & Datasets/006 The Titanic Passenger Dataset Walkthrough.mp4
83.5 MB
13 - Matplotlib/013 Creating Histograms.mp4
81.5 MB
20 - Seaborn/003 Seaborn Scatterplots.mp4
78.9 MB
13 - Matplotlib/018 Working With Subplots.mp4
78.5 MB
13 - Matplotlib/020 EXERCISE Matplotlib Challenge #4.mp4
78.4 MB
12 - Working With Dates & Times/007 Finding StarLink Flybys In UFO Dataset.mp4
75.7 MB
15 - Grouping & Aggregating/002 Exploring Groups.mp4
75.7 MB
13 - Matplotlib/007 Line Styles, Colors, Widths, and More!.mp4
74.9 MB
05 - Basic DataFrame Methods & Computations/002 Sum & Count.mp4
74.5 MB
10 - Updating Values/007 SOLUTION Updating Values Exercise.mp4
73.8 MB
13 - Matplotlib/012 Creating Bar Plots.mp4
72.4 MB
22 - Controlling Seaborn Aesthetics/004 Changing Color Palettes.mp4
72.0 MB
04 - Dataframes & Datasets/003 Inspecting DataFrames head(), tail(), etc.mp4
71.4 MB
12 - Working With Dates & Times/008 Date Math & TimeDeltas.mp4
71.3 MB
12 - Working With Dates & Times/003 Specifying Fancy Formats With pd.to_datetime().mp4
71.3 MB
21 - Seaborn Categorical Plots/002 Strip & Swarm Plots.mp4
71.0 MB
12 - Working With Dates & Times/004 Dates and DataFrames.mp4
70.7 MB
20 - Seaborn/001 Intro to Seaborn.mp4
67.1 MB
06 - Series & Columns/010 SOLUTION Series & Plotting.mp4
66.7 MB
20 - Seaborn/006 Resizing Seaborn Plots Aspect & Height.mp4
66.3 MB
21 - Seaborn Categorical Plots/007 The Big Boy Catplot Method.mp4
64.6 MB
14 - Revisiting Pandas Plotting/006 EXERCISE Pandas Plotting Challenge #1.mp4
64.1 MB
06 - Series & Columns/008 Using plot() to visualize!.mp4
62.6 MB
19 - Combining Series & DataFrames/008 Merge() On and Suffixes Arguments.mp4
62.0 MB
15 - Grouping & Aggregating/003 Split-Apply-Combine.mp4
61.9 MB
02 - Setup & Installation/002 Mac Installation Walkthrough.mp4
60.2 MB
07 - Indexing & Sorting/001 Set_Index Basics.mp4
60.0 MB
08 - Filtering DataFrames/002 Filtering With Comparison Operators.mp4
59.2 MB
14 - Revisiting Pandas Plotting/005 Closer Look at Pandas Bar Plots.mp4
59.0 MB
12 - Working With Dates & Times/005 The Useful dt Properties.mp4
59.0 MB
11 - Working With Types and NA Values/004 dropna() and isna().mp4
58.7 MB
21 - Seaborn Categorical Plots/006 Barplots.mp4
58.1 MB
14 - Revisiting Pandas Plotting/003 Adding Labels and Titles to Pandas Plots.mp4
57.8 MB
02 - Setup & Installation/003 Windows Installation Walkthrough.mp4
57.3 MB
10 - Updating Values/005 Making Updates With loc[] and Boolean Masks.mp4
57.3 MB
14 - Revisiting Pandas Plotting/015 Pandas Automatic Subplots.mp4
57.2 MB
05 - Basic DataFrame Methods & Computations/005 Describe With Objects (Text) Values.mp4
57.1 MB
15 - Grouping & Aggregating/004 Using The Agg Method.mp4
56.9 MB
06 - Series & Columns/005 nlargest & nsmallest.mp4
56.5 MB
07 - Indexing & Sorting/009 loc.mp4
56.4 MB
13 - Matplotlib/009 Changing X & Y Ticks.mp4
55.7 MB
04 - Dataframes & Datasets/005 The House Sales Dataset Walkthrough.mp4
55.6 MB
17 - Working With Text/006 Replacing Portions of Strings With Replace().mp4
54.7 MB
20 - Seaborn/011 The Amazing displot() Method.mp4
54.7 MB
15 - Grouping & Aggregating/001 Introducing Groupby.mp4
53.9 MB
08 - Filtering DataFrames/001 Filtering DataFrames With A Boolean Series.mp4
53.7 MB
06 - Series & Columns/002 A Closer Look At Series.mp4
53.5 MB
13 - Matplotlib/016 Creating Pie Charts.mp4
53.4 MB
18 - Apply, Map, & Applymap/001 Applying Functions To Series.mp4
53.0 MB
17 - Working With Text/001 The String Datatype Vs. Object Datatype.mp4
52.6 MB
13 - Matplotlib/008 Plot Labels & Titles.mp4
52.0 MB
16 - Hierarchical Indexing/004 Using .loc[] With A MultiIndex.mp4
52.0 MB
16 - Hierarchical Indexing/006 get_level_values().mp4
51.7 MB
17 - Working With Text/005 Splitting Text Values With Split().mp4
51.6 MB
21 - Seaborn Categorical Plots/003 Boxplots.mp4
51.5 MB
22 - Controlling Seaborn Aesthetics/002 Customizing Styles with set_style().mp4
51.3 MB
04 - Dataframes & Datasets/002 pd.read_csv & DataFrames.mp4
50.2 MB
09 - Adding & Removing Columns/001 Dropping Columns.mp4
49.9 MB
06 - Series & Columns/007 The powerful value_counts() method.mp4
49.9 MB
14 - Revisiting Pandas Plotting/016 Manual Subplots With Pandas.mp4
49.5 MB
10 - Updating Values/002 The replace() method.mp4
49.3 MB
13 - Matplotlib/019 Putting It All Together.mp4
49.2 MB
09 - Adding & Removing Columns/008 SOLUTION AddingRemoving Columns & Rows.mp4
49.0 MB
14 - Revisiting Pandas Plotting/013 UFOS Plotting Challenge!.mp4
48.8 MB
09 - Adding & Removing Columns/002 Dropping Rows.mp4
48.1 MB
16 - Hierarchical Indexing/001 Groupby With Multiple Columns.mp4
48.0 MB
13 - Matplotlib/004 Anatomy of Plots.mp4
47.6 MB
11 - Working With Types and NA Values/001 Casting Types With astype().mp4
47.4 MB
12 - Working With Dates & Times/002 Converting With pd.to_datetime().mp4
47.0 MB
02 - Setup & Installation/001 Introducing Jupyter Notebook!.mp4
46.8 MB
16 - Hierarchical Indexing/009 Plotting With Unstack().mp4
45.7 MB
06 - Series & Columns/001 Selecting A Single Column.mp4
45.3 MB
04 - Dataframes & Datasets/001 Datasets & CSV.mp4
45.0 MB
11 - Working With Types and NA Values/007 SOLUTION Dealing With NA Values.mp4
44.4 MB
18 - Apply, Map, & Applymap/004 Apply() w DataFrames Rows.mp4
44.1 MB
19 - Combining Series & DataFrames/007 Merge() w Left, Right, Inner, & Outer Joins.mp4
44.0 MB
09 - Adding & Removing Columns/003 Adding Static Columns.mp4
43.3 MB
16 - Hierarchical Indexing/003 Sorting A MultiIndex.mp4
43.2 MB
09 - Adding & Removing Columns/004 Creating New Dynamic Columns.mp4
43.1 MB
08 - Filtering DataFrames/007 Bitwise Negation.mp4
43.0 MB
04 - Dataframes & Datasets/008 Overriding Headers Country Population Dataset.mp4
42.9 MB
20 - Seaborn/009 Bivariate Distribution Plots.mp4
42.7 MB
12 - Working With Dates & Times/006 Comparing Dates.mp4
42.4 MB
17 - Working With Text/003 Indexing String Series With [].mp4
42.0 MB
04 - Dataframes & Datasets/004 DataTypes and info().mp4
41.7 MB
12 - Working With Dates & Times/001 Why Dates Matter.mp4
41.6 MB
13 - Matplotlib/010 Adding Legends To Plots.mp4
41.5 MB
20 - Seaborn/010 Rugplots.mp4
41.1 MB
03 - Working With Jupyter Notebook/009 SOLUTION Jupyter Notebook.mp4
41.0 MB
03 - Working With Jupyter Notebook/001 Creating Notebooks & Running Cells.mp4
41.0 MB
20 - Seaborn/007 Seaborn Histograms.mp4
40.5 MB
16 - Hierarchical Indexing/002 Creating a MultiIndex With set_index.mp4
40.2 MB
13 - Matplotlib/002 Our First Matplotlib Plots!.mp4
40.0 MB
09 - Adding & Removing Columns/006 Finding Largest Bitcoin Price Changes.mp4
39.4 MB
05 - Basic DataFrame Methods & Computations/001 Min & Max.mp4
39.4 MB
07 - Indexing & Sorting/002 set_index The World Happiness Index Dataset.mp4
38.2 MB
14 - Revisiting Pandas Plotting/001 A Pandas Plotting Recap.mp4
37.9 MB
13 - Matplotlib/011 EXERCISE Matplotlib Challenge #1.mp4
37.5 MB
14 - Revisiting Pandas Plotting/012 Multiple Plots On The Same Axes.mp4
37.5 MB
11 - Working With Types and NA Values/005 fillna().mp4
37.5 MB
10 - Updating Values/001 Renaming Columns and Index Labels.mp4
37.3 MB
03 - Working With Jupyter Notebook/004 Command Mode Shortcuts.mp4
37.2 MB
13 - Matplotlib/015 Creating Scatter Plots.mp4
36.9 MB
13 - Matplotlib/017 EXERCISE Matplotlib Challenge #3.mp4
36.6 MB
07 - Indexing & Sorting/004 sort_values intro.mp4
36.6 MB
08 - Filtering DataFrames/009 Filtering + Plotting Examples.mp4
36.5 MB
14 - Revisiting Pandas Plotting/009 Pandas Line Plots.mp4
36.3 MB
03 - Working With Jupyter Notebook/005 Cell Types Markdown Time!.mp4
35.9 MB
19 - Combining Series & DataFrames/006 The DataFrame Merge() Method.mp4
35.8 MB
03 - Working With Jupyter Notebook/002 Shutting Down The Notebook Server.mp4
35.3 MB
12 - Working With Dates & Times/010 EXERCISE Dates & Times.mp4
35.2 MB
13 - Matplotlib/001 Intro to Matplotlib.mp4
34.4 MB
18 - Apply, Map, & Applymap/002 Apply() With Lambdas & Arguments.mp4
34.3 MB
11 - Working With Types and NA Values/003 Casting With pd.to_numeric().mp4
34.2 MB
11 - Working With Types and NA Values/002 Introducing the Category Type.mp4
33.6 MB
14 - Revisiting Pandas Plotting/008 Box Plots.mp4
33.5 MB
10 - Updating Values/004 Updating Multiple Values Using loc[].mp4
33.2 MB
05 - Basic DataFrame Methods & Computations/007 SOLUTION Basic DataFrame Methods.mp4
33.2 MB
07 - Indexing & Sorting/011 loc & iloc with Series.mp4
33.0 MB
07 - Indexing & Sorting/010 iloc.mp4
32.5 MB
16 - Hierarchical Indexing/008 Stack() and Unstack().mp4
32.4 MB
14 - Revisiting Pandas Plotting/014 EXERCISE Pandas Plotting Challenge #3.mp4
32.1 MB
05 - Basic DataFrame Methods & Computations/003 Mean, Median, & Mode.mp4
31.7 MB
16 - Hierarchical Indexing/007 Hierarchical Columns.mp4
31.4 MB
14 - Revisiting Pandas Plotting/010 EXERCISE Pandas Plotting Challenge #2.mp4
31.3 MB
19 - Combining Series & DataFrames/001 Concatenating Series.mp4
31.1 MB
06 - Series & Columns/004 unique & nunique.mp4
31.1 MB
05 - Basic DataFrame Methods & Computations/004 Describe With Numeric Values.mp4
30.7 MB
15 - Grouping & Aggregating/006 Named Aggregation.mp4
30.5 MB
07 - Indexing & Sorting/012 EXERCISE Indexes & Sorting.mp4
30.4 MB
21 - Seaborn Categorical Plots/005 Violinplots.mp4
30.4 MB
13 - Matplotlib/006 Changing Matplotlib Stylesheets.mp4
30.2 MB
13 - Matplotlib/005 Figsize & Plot Dimensions.mp4
30.1 MB
17 - Working With Text/002 Upper(), Lower(), and Capitalize().mp4
29.9 MB
01 - Introduction/003 Downloading The Course Materials IMPORTANT!!.mp4
29.8 MB
17 - Working With Text/007 Testing Strings With Contains().mp4
29.8 MB
13 - Matplotlib/014 EXERCISE Matplotlib Challenge #2.mp4
29.7 MB
09 - Adding & Removing Columns/005 Finding The Highest pricesqft homes.mp4
29.6 MB
08 - Filtering DataFrames/008 isna() and notna() Methods.mp4
28.7 MB
22 - Controlling Seaborn Aesthetics/001 Changing Seaborn Themes.mp4
28.6 MB
14 - Revisiting Pandas Plotting/019 Exporting Figures With savefig().mp4
28.5 MB
10 - Updating Values/003 Updating Values Using loc[].mp4
28.4 MB
08 - Filtering DataFrames/004 The isin() Method.mp4
28.0 MB
07 - Indexing & Sorting/006 sorting text columns.mp4
28.0 MB
19 - Combining Series & DataFrames/004 Concatenating DataFrames By Columns.mp4
28.0 MB
20 - Seaborn/002 The Helpful load_dataset() method.mp4
27.9 MB
16 - Hierarchical Indexing/010 Grouping By Index.mp4
27.8 MB
07 - Indexing & Sorting/005 sorting by multiple columns.mp4
27.6 MB
03 - Working With Jupyter Notebook/006 Restarting The Kernel.mp4
27.5 MB
18 - Apply, Map, & Applymap/003 Apply() w DataFrames Columns.mp4
26.0 MB
18 - Apply, Map, & Applymap/006 The ApplyMap() Method.mp4
25.9 MB
09 - Adding & Removing Columns/007 EXERCISE AddingRemoving Columns & Rows.mp4
25.8 MB
14 - Revisiting Pandas Plotting/011 Pandas Scatter Plots.mp4
24.8 MB
07 - Indexing & Sorting/008 Sorting and Plotting!.mp4
23.5 MB
19 - Combining Series & DataFrames/002 Concatenating Series By Index.mp4
23.2 MB
03 - Working With Jupyter Notebook/007 Viewing The Docs Inside A Notebook.mp4
23.0 MB
06 - Series & Columns/006 Selecting Multiple Columns.mp4
22.9 MB
14 - Revisiting Pandas Plotting/004 Using rename() When Plotting.mp4
22.3 MB
20 - Seaborn/008 KDE Plots.mp4
22.1 MB
08 - Filtering DataFrames/003 The Between Method.mp4
21.9 MB
02 - Setup & Installation/004 Installing Pandas & Matplotlib (Mac & Windows).mp4
21.8 MB
07 - Indexing & Sorting/003 setting index with read_csv.mp4
21.5 MB
14 - Revisiting Pandas Plotting/007 Pandas Histograms.mp4
20.7 MB
07 - Indexing & Sorting/007 sort_index.mp4
20.3 MB
21 - Seaborn Categorical Plots/001 Countplot.mp4
20.1 MB
14 - Revisiting Pandas Plotting/002 Changing Pandas Plot Styles.mp4
19.7 MB
17 - Working With Text/004 Stripping Whitespace With Strip().mp4
19.6 MB
01 - Introduction/004 How The Exercises Work.mp4
19.6 MB
19 - Combining Series & DataFrames/003 Inner vs. Outer Joins.mp4
19.3 MB
06 - Series & Columns/009 EXERCISE Series & Plotting.mp4
19.1 MB
22 - Controlling Seaborn Aesthetics/003 Altering Spines With despine().mp4
18.5 MB
04 - Dataframes & Datasets/009 EXERCISE DataFrames & Datasets.mp4
18.3 MB
06 - Series & Columns/003 Important Series Methods.mp4
18.2 MB
01 - Introduction/002 What Do You Need To Know To Take This Course.mp4
17.6 MB
18 - Apply, Map, & Applymap/005 The Series Map() Method.mp4
17.5 MB
19 - Combining Series & DataFrames/005 Concatenating DataFrames By Index.mp4
17.2 MB
10 - Updating Values/006 EXERCISE Updating Values.mp4
16.9 MB
03 - Working With Jupyter Notebook/008 EXERCISE Jupyter Notebook.mp4
16.8 MB
21 - Seaborn Categorical Plots/004 Boxenplots.mp4
16.1 MB
15 - Grouping & Aggregating/005 Agg with Custom Functions.mp4
15.9 MB
13 - Matplotlib/003 Do We Need plt.show().mp4
15.7 MB
05 - Basic DataFrame Methods & Computations/006 EXERCISE Basic DataFrame Methods.mp4
14.1 MB
16 - Hierarchical Indexing/005 Cross Sections With The XS Method.mp4
13.5 MB
08 - Filtering DataFrames/010 EXERCISE Filtering.mp4
13.4 MB
11 - Working With Types and NA Values/006 EXERCISE Dealing With NA Values.mp4
13.2 MB
03 - Working With Jupyter Notebook/003 How Cell Output Works.mp4
6.4 MB
12 - Working With Dates & Times/011 SOLUTION Dates & Times_en.srt
21.6 kB
20 - Seaborn/004 Seaborn Lineplots_en.srt
18.5 kB
08 - Filtering DataFrames/005 Combining Conditions Using AND (&)_en.srt
18.4 kB
12 - Working With Dates & Times/009 Billboard Charts Dataset Exploration_en.srt
18.0 kB
06 - Series & Columns/008 Using plot() to visualize!_en.srt
17.2 kB
08 - Filtering DataFrames/006 Combining Conditions Using OR ()_en.srt
16.1 kB
13 - Matplotlib/013 Creating Histograms_en.srt
15.9 kB
13 - Matplotlib/018 Working With Subplots_en.srt
15.8 kB
14 - Revisiting Pandas Plotting/017 EXERCISE Pandas Plotting Challenge #4_en.srt
15.5 kB
20 - Seaborn/003 Seaborn Scatterplots_en.srt
15.5 kB
15 - Grouping & Aggregating/002 Exploring Groups_en.srt
15.3 kB
08 - Filtering DataFrames/011 SOLUTION Filtering Exercise_en.srt
15.2 kB
16 - Hierarchical Indexing/004 Using .loc[] With A MultiIndex_en.srt
15.1 kB
07 - Indexing & Sorting/001 Set_Index Basics_en.srt
14.9 kB
06 - Series & Columns/010 SOLUTION Series & Plotting_en.srt
14.7 kB
05 - Basic DataFrame Methods & Computations/002 Sum & Count_en.srt
14.7 kB
19 - Combining Series & DataFrames/008 Merge() On and Suffixes Arguments_en.srt
14.6 kB
13 - Matplotlib/004 Anatomy of Plots_en.srt
14.5 kB
14 - Revisiting Pandas Plotting/018 EXERCISE Pandas Plotting Challenge #5_en.srt
14.4 kB
13 - Matplotlib/012 Creating Bar Plots_en.srt
14.2 kB
21 - Seaborn Categorical Plots/003 Boxplots_en.srt
14.2 kB
15 - Grouping & Aggregating/003 Split-Apply-Combine_en.srt
14.1 kB
06 - Series & Columns/002 A Closer Look At Series_en.srt
14.1 kB
12 - Working With Dates & Times/005 The Useful dt Properties_en.srt
14.1 kB
07 - Indexing & Sorting/013 SOLUTION Indexes & Sorting_en.srt
14.1 kB
08 - Filtering DataFrames/001 Filtering DataFrames With A Boolean Series_en.srt
14.0 kB
12 - Working With Dates & Times/003 Specifying Fancy Formats With pd.to_datetime()_en.srt
13.8 kB
04 - Dataframes & Datasets/006 The Titanic Passenger Dataset Walkthrough_en.srt
13.8 kB
20 - Seaborn/005 The relplot() Method_en.srt
13.7 kB
20 - Seaborn/001 Intro to Seaborn_en.srt
13.7 kB
21 - Seaborn Categorical Plots/002 Strip & Swarm Plots_en.srt
13.6 kB
06 - Series & Columns/007 The powerful value_counts() method_en.srt
13.5 kB
22 - Controlling Seaborn Aesthetics/004 Changing Color Palettes_en.srt
13.5 kB
21 - Seaborn Categorical Plots/006 Barplots_en.srt
13.4 kB
04 - Dataframes & Datasets/010 SOLUTION DataFrames & Datasets_en.srt
13.4 kB
13 - Matplotlib/020 EXERCISE Matplotlib Challenge #4_en.srt
13.4 kB
12 - Working With Dates & Times/008 Date Math & TimeDeltas_en.srt
13.4 kB
04 - Dataframes & Datasets/007 Non-comma Separators Netflix Dataset_en.srt
13.2 kB
01 - Introduction/001 Course Welcome & Curriculum Walkthrough_en.srt
13.0 kB
11 - Working With Types and NA Values/004 dropna() and isna()_en.srt
13.0 kB
12 - Working With Dates & Times/007 Finding StarLink Flybys In UFO Dataset_en.srt
12.8 kB
16 - Hierarchical Indexing/003 Sorting A MultiIndex_en.srt
12.7 kB
21 - Seaborn Categorical Plots/007 The Big Boy Catplot Method_en.srt
12.6 kB
08 - Filtering DataFrames/002 Filtering With Comparison Operators_en.srt
12.5 kB
05 - Basic DataFrame Methods & Computations/005 Describe With Objects (Text) Values_en.srt
12.1 kB
12 - Working With Dates & Times/002 Converting With pd.to_datetime()_en.srt
12.1 kB
10 - Updating Values/003 Updating Values Using loc[]_en.srt
12.0 kB
14 - Revisiting Pandas Plotting/006 EXERCISE Pandas Plotting Challenge #1_en.srt
11.9 kB
14 - Revisiting Pandas Plotting/015 Pandas Automatic Subplots_en.srt
11.9 kB
18 - Apply, Map, & Applymap/001 Applying Functions To Series_en.srt
11.9 kB
06 - Series & Columns/001 Selecting A Single Column_en.srt
11.8 kB
07 - Indexing & Sorting/009 loc_en.srt
11.8 kB
16 - Hierarchical Indexing/006 get_level_values()_en.srt
11.7 kB
10 - Updating Values/007 SOLUTION Updating Values Exercise_en.srt
11.7 kB
02 - Setup & Installation/003 Windows Installation Walkthrough_en.srt
11.7 kB
04 - Dataframes & Datasets/003 Inspecting DataFrames head(), tail(), etc_en.srt
11.6 kB
14 - Revisiting Pandas Plotting/003 Adding Labels and Titles to Pandas Plots_en.srt
11.5 kB
03 - Working With Jupyter Notebook/006 Restarting The Kernel_en.srt
11.4 kB
10 - Updating Values/002 The replace() method_en.srt
11.4 kB
16 - Hierarchical Indexing/009 Plotting With Unstack()_en.srt
11.3 kB
03 - Working With Jupyter Notebook/001 Creating Notebooks & Running Cells_en.srt
11.3 kB
10 - Updating Values/005 Making Updates With loc[] and Boolean Masks_en.srt
11.3 kB
13 - Matplotlib/002 Our First Matplotlib Plots!_en.srt
11.2 kB
14 - Revisiting Pandas Plotting/005 Closer Look at Pandas Bar Plots_en.srt
11.1 kB
20 - Seaborn/006 Resizing Seaborn Plots Aspect & Height_en.srt
11.0 kB
15 - Grouping & Aggregating/004 Using The Agg Method_en.srt
10.9 kB
03 - Working With Jupyter Notebook/004 Command Mode Shortcuts_en.srt
10.9 kB
06 - Series & Columns/005 nlargest & nsmallest_en.srt
10.9 kB
17 - Working With Text/001 The String Datatype Vs. Object Datatype_en.srt
10.9 kB
02 - Setup & Installation/002 Mac Installation Walkthrough_en.srt
10.8 kB
17 - Working With Text/006 Replacing Portions of Strings With Replace()_en.srt
10.7 kB
03 - Working With Jupyter Notebook/009 SOLUTION Jupyter Notebook_en.srt
10.7 kB
11 - Working With Types and NA Values/001 Casting Types With astype()_en.srt
10.6 kB
09 - Adding & Removing Columns/004 Creating New Dynamic Columns_en.srt
10.6 kB
13 - Matplotlib/007 Line Styles, Colors, Widths, and More!_en.srt
10.5 kB
16 - Hierarchical Indexing/001 Groupby With Multiple Columns_en.srt
10.5 kB
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17 - Working With Text/005 Splitting Text Values With Split()_en.srt
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12 - Working With Dates & Times/004 Dates and DataFrames_en.srt
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20 - Seaborn/011 The Amazing displot() Method_en.srt
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13 - Matplotlib/009 Changing X & Y Ticks_en.srt
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18 - Apply, Map, & Applymap/004 Apply() w DataFrames Rows_en.srt
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19 - Combining Series & DataFrames/007 Merge() w Left, Right, Inner, & Outer Joins_en.srt
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02 - Setup & Installation/001 Introducing Jupyter Notebook!_en.srt
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04 - Dataframes & Datasets/001 Datasets & CSV_en.srt
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20 - Seaborn/007 Seaborn Histograms_en.srt
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14 - Revisiting Pandas Plotting/016 Manual Subplots With Pandas_en.srt
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16 - Hierarchical Indexing/002 Creating a MultiIndex With set_index_en.srt
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09 - Adding & Removing Columns/003 Adding Static Columns_en.srt
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03 - Working With Jupyter Notebook/002 Shutting Down The Notebook Server_en.srt
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05 - Basic DataFrame Methods & Computations/001 Min & Max_en.srt
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13 - Matplotlib/016 Creating Pie Charts_en.srt
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20 - Seaborn/010 Rugplots_en.srt
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08 - Filtering DataFrames/009 Filtering + Plotting Examples_en.srt
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13 - Matplotlib/019 Putting It All Together_en.srt
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07 - Indexing & Sorting/011 loc & iloc with Series_en.srt
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04 - Dataframes & Datasets/005 The House Sales Dataset Walkthrough_en.srt
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14 - Revisiting Pandas Plotting/001 A Pandas Plotting Recap_en.srt
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05 - Basic DataFrame Methods & Computations/003 Mean, Median, & Mode_en.srt
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17 - Working With Text/003 Indexing String Series With []_en.srt
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03 - Working With Jupyter Notebook/005 Cell Types Markdown Time!_en.srt
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12 - Working With Dates & Times/006 Comparing Dates_en.srt
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22 - Controlling Seaborn Aesthetics/002 Customizing Styles with set_style()_en.srt
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13 - Matplotlib/008 Plot Labels & Titles_en.srt
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07 - Indexing & Sorting/002 set_index The World Happiness Index Dataset_en.srt
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15 - Grouping & Aggregating/001 Introducing Groupby_en.srt
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20 - Seaborn/009 Bivariate Distribution Plots_en.srt
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11 - Working With Types and NA Values/005 fillna()_en.srt
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14 - Revisiting Pandas Plotting/009 Pandas Line Plots_en.srt
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14 - Revisiting Pandas Plotting/012 Multiple Plots On The Same Axes_en.srt
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06 - Series & Columns/004 unique & nunique_en.srt
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19 - Combining Series & DataFrames/001 Concatenating Series_en.srt
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16 - Hierarchical Indexing/010 Grouping By Index_en.srt
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06 - Series & Columns/003 Important Series Methods_en.srt
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13 - Matplotlib/010 Adding Legends To Plots_en.srt
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09 - Adding & Removing Columns/008 SOLUTION AddingRemoving Columns & Rows_en.srt
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04 - Dataframes & Datasets/004 DataTypes and info()_en.srt
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09 - Adding & Removing Columns/006 Finding Largest Bitcoin Price Changes_en.srt
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10 - Updating Values/001 Renaming Columns and Index Labels_en.srt
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12 - Working With Dates & Times/010 EXERCISE Dates & Times_en.srt
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13 - Matplotlib/011 EXERCISE Matplotlib Challenge #1_en.srt
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18 - Apply, Map, & Applymap/002 Apply() With Lambdas & Arguments_en.srt
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13 - Matplotlib/015 Creating Scatter Plots_en.srt
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02 - Setup & Installation/004 Installing Pandas & Matplotlib (Mac & Windows)_en.srt
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13 - Matplotlib/017 EXERCISE Matplotlib Challenge #3_en.srt
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13 - Matplotlib/001 Intro to Matplotlib_en.srt
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21 - Seaborn Categorical Plots/005 Violinplots_en.srt
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19 - Combining Series & DataFrames/004 Concatenating DataFrames By Columns_en.srt
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13 - Matplotlib/005 Figsize & Plot Dimensions_en.srt
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04 - Dataframes & Datasets/008 Overriding Headers Country Population Dataset_en.srt
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11 - Working With Types and NA Values/003 Casting With pd.to_numeric()_en.srt
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20 - Seaborn/002 The Helpful load_dataset() method_en.srt
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22 - Controlling Seaborn Aesthetics/001 Changing Seaborn Themes_en.srt
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11 - Working With Types and NA Values/007 SOLUTION Dealing With NA Values_en.srt
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11 - Working With Types and NA Values/002 Introducing the Category Type_en.srt
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19 - Combining Series & DataFrames/006 The DataFrame Merge() Method_en.srt
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07 - Indexing & Sorting/012 EXERCISE Indexes & Sorting_en.srt
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13 - Matplotlib/006 Changing Matplotlib Stylesheets_en.srt
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17 - Working With Text/004 Stripping Whitespace With Strip()_en.srt
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15 - Grouping & Aggregating/006 Named Aggregation_en.srt
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07 - Indexing & Sorting/004 sort_values intro_en.srt
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10 - Updating Values/004 Updating Multiple Values Using loc[]_en.srt
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13 - Matplotlib/014 EXERCISE Matplotlib Challenge #2_en.srt
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19 - Combining Series & DataFrames/002 Concatenating Series By Index_en.srt
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17 - Working With Text/002 Upper(), Lower(), and Capitalize()_en.srt
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09 - Adding & Removing Columns/005 Finding The Highest pricesqft homes_en.srt
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14 - Revisiting Pandas Plotting/010 EXERCISE Pandas Plotting Challenge #2_en.srt
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18 - Apply, Map, & Applymap/003 Apply() w DataFrames Columns_en.srt
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07 - Indexing & Sorting/010 iloc_en.srt
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18 - Apply, Map, & Applymap/006 The ApplyMap() Method_en.srt
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17 - Working With Text/007 Testing Strings With Contains()_en.srt
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12 - Working With Dates & Times/001 Why Dates Matter_en.srt
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06 - Series & Columns/006 Selecting Multiple Columns_en.srt
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16 - Hierarchical Indexing/008 Stack() and Unstack()_en.srt
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21 - Seaborn Categorical Plots/001 Countplot_en.srt
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07 - Indexing & Sorting/006 sorting text columns_en.srt
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08 - Filtering DataFrames/004 The isin() Method_en.srt
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19 - Combining Series & DataFrames/003 Inner vs. Outer Joins_en.srt
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14 - Revisiting Pandas Plotting/014 EXERCISE Pandas Plotting Challenge #3_en.srt
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09 - Adding & Removing Columns/007 EXERCISE AddingRemoving Columns & Rows_en.srt
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04 - Dataframes & Datasets/009 EXERCISE DataFrames & Datasets_en.srt
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08 - Filtering DataFrames/008 isna() and notna() Methods_en.srt
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14 - Revisiting Pandas Plotting/004 Using rename() When Plotting_en.srt
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07 - Indexing & Sorting/005 sorting by multiple columns_en.srt
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06 - Series & Columns/009 EXERCISE Series & Plotting_en.srt
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19 - Combining Series & DataFrames/005 Concatenating DataFrames By Index_en.srt
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14 - Revisiting Pandas Plotting/007 Pandas Histograms_en.srt
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03 - Working With Jupyter Notebook/008 EXERCISE Jupyter Notebook_en.srt
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03 - Working With Jupyter Notebook/007 Viewing The Docs Inside A Notebook_en.srt
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03 - Working With Jupyter Notebook/003 How Cell Output Works_en.srt
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22 - Controlling Seaborn Aesthetics/003 Altering Spines With despine()_en.srt
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14 - Revisiting Pandas Plotting/011 Pandas Scatter Plots_en.srt
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08 - Filtering DataFrames/003 The Between Method_en.srt
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18 - Apply, Map, & Applymap/005 The Series Map() Method_en.srt
4.3 kB
01 - Introduction/003 Downloading The Course Materials IMPORTANT!!_en.srt
4.3 kB
14 - Revisiting Pandas Plotting/002 Changing Pandas Plot Styles_en.srt
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07 - Indexing & Sorting/003 setting index with read_csv_en.srt
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14 - Revisiting Pandas Plotting/019 Exporting Figures With savefig()_en.srt
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13 - Matplotlib/003 Do We Need plt.show()_en.srt
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01 - Introduction/004 How The Exercises Work_en.srt
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20 - Seaborn/008 KDE Plots_en.srt
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21 - Seaborn Categorical Plots/004 Boxenplots_en.srt
3.6 kB
16 - Hierarchical Indexing/005 Cross Sections With The XS Method_en.srt
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07 - Indexing & Sorting/007 sort_index_en.srt
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10 - Updating Values/006 EXERCISE Updating Values_en.srt
3.3 kB
01 - Introduction/002 What Do You Need To Know To Take This Course_en.srt
3.0 kB
08 - Filtering DataFrames/010 EXERCISE Filtering_en.srt
2.8 kB
05 - Basic DataFrame Methods & Computations/006 EXERCISE Basic DataFrame Methods_en.srt
2.6 kB
11 - Working With Types and NA Values/006 EXERCISE Dealing With NA Values_en.srt
2.0 kB
02 - Setup & Installation/external-assets-links.txt
162 Bytes
0. Websites you may like/[CourseClub.Me].url
122 Bytes
03 - Working With Jupyter Notebook/0. Websites you may like/[CourseClub.Me].url
122 Bytes
03 - Working With Jupyter Notebook/[CourseClub.Me].url
122 Bytes
10 - Updating Values/0. Websites you may like/[CourseClub.Me].url
122 Bytes
10 - Updating Values/[CourseClub.Me].url
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19 - Combining Series & DataFrames/0. Websites you may like/[CourseClub.Me].url
122 Bytes
19 - Combining Series & DataFrames/[CourseClub.Me].url
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[CourseClub.Me].url
122 Bytes
0. Websites you may like/[GigaCourse.Com].url
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03 - Working With Jupyter Notebook/0. Websites you may like/[GigaCourse.Com].url
49 Bytes
03 - Working With Jupyter Notebook/[GigaCourse.Com].url
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10 - Updating Values/0. Websites you may like/[GigaCourse.Com].url
49 Bytes
10 - Updating Values/[GigaCourse.Com].url
49 Bytes
19 - Combining Series & DataFrames/0. Websites you may like/[GigaCourse.Com].url
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19 - Combining Series & DataFrames/[GigaCourse.Com].url
49 Bytes
[GigaCourse.Com].url
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