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[GigaCourse.Com] Udemy - 2022 Python Data Analysis and Visualization Masterclass
magnet:?xt=urn:btih:4602a5ded55f65a5d8e318441991795dab43cd12&dn=[GigaCourse.Com] Udemy - 2022 Python Data Analysis and Visualization Masterclass
磁力链接详情
文件列表详情
4602a5ded55f65a5d8e318441991795dab43cd12
infohash:
199
文件数量
8.38 GB
文件大小
2022-11-22 04:57
创建日期
2024-6-29 18:46
最后访问
相关分词
GigaCourse
Com
Udemy
-
2022
Python
Data
Analysis
and
Visualization
Masterclass
01 - Introduction/001 Course Welcome & Curriculum Walkthrough.mp4 116.97 MB
01 - Introduction/002 What Do You Need To Know To Take This Course.mp4 16.78 MB
01 - Introduction/003 Downloading The Course Materials IMPORTANT!!.mp4 28.41 MB
01 - Introduction/004 How The Exercises Work.mp4 18.66 MB
02 - Setup & Installation/001 Introducing Jupyter Notebook!.mp4 44.62 MB
02 - Setup & Installation/002 Mac Installation Walkthrough.mp4 57.42 MB
02 - Setup & Installation/003 Windows Installation Walkthrough.mp4 54.66 MB
02 - Setup & Installation/004 Installing Pandas & Matplotlib (Mac & Windows).mp4 20.8 MB
03 - Working With Jupyter Notebook/001 Creating Notebooks & Running Cells.mp4 39.05 MB
03 - Working With Jupyter Notebook/002 Shutting Down The Notebook Server.mp4 33.64 MB
03 - Working With Jupyter Notebook/003 How Cell Output Works.mp4 6.12 MB
03 - Working With Jupyter Notebook/004 Command Mode Shortcuts.mp4 35.46 MB
03 - Working With Jupyter Notebook/005 Cell Types Markdown Time!.mp4 34.21 MB
03 - Working With Jupyter Notebook/006 Restarting The Kernel.mp4 26.2 MB
03 - Working With Jupyter Notebook/007 Viewing The Docs Inside A Notebook.mp4 21.9 MB
03 - Working With Jupyter Notebook/008 EXERCISE Jupyter Notebook.mp4 15.98 MB
03 - Working With Jupyter Notebook/009 SOLUTION Jupyter Notebook.mp4 39.11 MB
04 - Dataframes & Datasets/001 Datasets & CSV.mp4 42.9 MB
04 - Dataframes & Datasets/002 pd.read_csv & DataFrames.mp4 47.9 MB
04 - Dataframes & Datasets/003 Inspecting DataFrames head(), tail(), etc.mp4 68.09 MB
04 - Dataframes & Datasets/004 DataTypes and info().mp4 39.75 MB
04 - Dataframes & Datasets/005 The House Sales Dataset Walkthrough.mp4 53.06 MB
04 - Dataframes & Datasets/006 The Titanic Passenger Dataset Walkthrough.mp4 79.67 MB
04 - Dataframes & Datasets/007 Non-comma Separators Netflix Dataset.mp4 85.13 MB
04 - Dataframes & Datasets/008 Overriding Headers Country Population Dataset.mp4 40.92 MB
04 - Dataframes & Datasets/009 EXERCISE DataFrames & Datasets.mp4 17.49 MB
04 - Dataframes & Datasets/010 SOLUTION DataFrames & Datasets.mp4 82.32 MB
05 - Basic DataFrame Methods & Computations/001 Min & Max.mp4 37.56 MB
05 - Basic DataFrame Methods & Computations/002 Sum & Count.mp4 71.06 MB
05 - Basic DataFrame Methods & Computations/003 Mean, Median, & Mode.mp4 30.25 MB
05 - Basic DataFrame Methods & Computations/004 Describe With Numeric Values.mp4 29.28 MB
05 - Basic DataFrame Methods & Computations/005 Describe With Objects (Text) Values.mp4 54.48 MB
05 - Basic DataFrame Methods & Computations/006 EXERCISE Basic DataFrame Methods.mp4 13.47 MB
05 - Basic DataFrame Methods & Computations/007 SOLUTION Basic DataFrame Methods.mp4 31.66 MB
06 - Series & Columns/001 Selecting A Single Column.mp4 43.19 MB
06 - Series & Columns/002 A Closer Look At Series.mp4 51.03 MB
06 - Series & Columns/003 Important Series Methods.mp4 17.36 MB
06 - Series & Columns/004 unique & nunique.mp4 29.62 MB
06 - Series & Columns/005 nlargest & nsmallest.mp4 53.88 MB
06 - Series & Columns/006 Selecting Multiple Columns.mp4 21.79 MB
06 - Series & Columns/007 The powerful value_counts() method.mp4 47.57 MB
06 - Series & Columns/008 Using plot() to visualize!.mp4 59.72 MB
06 - Series & Columns/009 EXERCISE Series & Plotting.mp4 18.2 MB
06 - Series & Columns/010 SOLUTION Series & Plotting.mp4 63.63 MB
07 - Indexing & Sorting/001 Set_Index Basics.mp4 57.21 MB
07 - Indexing & Sorting/002 set_index The World Happiness Index Dataset.mp4 36.41 MB
07 - Indexing & Sorting/003 setting index with read_csv.mp4 20.54 MB
07 - Indexing & Sorting/004 sort_values intro.mp4 34.9 MB
07 - Indexing & Sorting/005 sorting by multiple columns.mp4 26.35 MB
07 - Indexing & Sorting/006 sorting text columns.mp4 26.74 MB
07 - Indexing & Sorting/007 sort_index.mp4 19.39 MB
07 - Indexing & Sorting/008 Sorting and Plotting!.mp4 22.45 MB
07 - Indexing & Sorting/009 loc.mp4 53.8 MB
07 - Indexing & Sorting/010 iloc.mp4 31.01 MB
07 - Indexing & Sorting/011 loc & iloc with Series.mp4 31.51 MB
07 - Indexing & Sorting/012 EXERCISE Indexes & Sorting.mp4 29.02 MB
07 - Indexing & Sorting/013 SOLUTION Indexes & Sorting.mp4 83.17 MB
08 - Filtering DataFrames/001 Filtering DataFrames With A Boolean Series.mp4 51.22 MB
08 - Filtering DataFrames/002 Filtering With Comparison Operators.mp4 56.47 MB
08 - Filtering DataFrames/003 The Between Method.mp4 20.9 MB
08 - Filtering DataFrames/004 The isin() Method.mp4 26.75 MB
08 - Filtering DataFrames/005 Combining Conditions Using AND (&).mp4 83.67 MB
08 - Filtering DataFrames/006 Combining Conditions Using OR ().mp4 91.18 MB
08 - Filtering DataFrames/007 Bitwise Negation.mp4 40.97 MB
08 - Filtering DataFrames/008 isna() and notna() Methods.mp4 27.4 MB
08 - Filtering DataFrames/009 Filtering + Plotting Examples.mp4 34.79 MB
08 - Filtering DataFrames/010 EXERCISE Filtering.mp4 12.83 MB
08 - Filtering DataFrames/011 SOLUTION Filtering Exercise.mp4 85.89 MB
09 - Adding & Removing Columns/001 Dropping Columns.mp4 47.57 MB
09 - Adding & Removing Columns/002 Dropping Rows.mp4 45.86 MB
09 - Adding & Removing Columns/003 Adding Static Columns.mp4 41.25 MB
09 - Adding & Removing Columns/004 Creating New Dynamic Columns.mp4 41.07 MB
09 - Adding & Removing Columns/005 Finding The Highest pricesqft homes.mp4 28.23 MB
09 - Adding & Removing Columns/006 Finding Largest Bitcoin Price Changes.mp4 37.6 MB
09 - Adding & Removing Columns/007 EXERCISE AddingRemoving Columns & Rows.mp4 24.59 MB
09 - Adding & Removing Columns/008 SOLUTION AddingRemoving Columns & Rows.mp4 46.7 MB
10 - Updating Values/001 Renaming Columns and Index Labels.mp4 35.53 MB
10 - Updating Values/002 The replace() method.mp4 47.05 MB
10 - Updating Values/003 Updating Values Using loc[].mp4 27.09 MB
10 - Updating Values/004 Updating Multiple Values Using loc[].mp4 31.7 MB
10 - Updating Values/005 Making Updates With loc[] and Boolean Masks.mp4 54.61 MB
10 - Updating Values/006 EXERCISE Updating Values.mp4 16.12 MB
10 - Updating Values/007 SOLUTION Updating Values Exercise.mp4 70.35 MB
11 - Working With Types and NA Values/001 Casting Types With astype().mp4 45.21 MB
11 - Working With Types and NA Values/002 Introducing the Category Type.mp4 32.05 MB
11 - Working With Types and NA Values/003 Casting With pd.to_numeric().mp4 32.66 MB
11 - Working With Types and NA Values/004 dropna() and isna().mp4 55.98 MB
11 - Working With Types and NA Values/005 fillna().mp4 35.73 MB
11 - Working With Types and NA Values/006 EXERCISE Dealing With NA Values.mp4 12.55 MB
11 - Working With Types and NA Values/007 SOLUTION Dealing With NA Values.mp4 42.3 MB
12 - Working With Dates & Times/001 Why Dates Matter.mp4 39.68 MB
12 - Working With Dates & Times/002 Converting With pd.to_datetime().mp4 44.79 MB
12 - Working With Dates & Times/003 Specifying Fancy Formats With pd.to_datetime().mp4 68 MB
12 - Working With Dates & Times/004 Dates and DataFrames.mp4 67.39 MB
12 - Working With Dates & Times/005 The Useful dt Properties.mp4 56.24 MB
12 - Working With Dates & Times/006 Comparing Dates.mp4 40.45 MB
12 - Working With Dates & Times/007 Finding StarLink Flybys In UFO Dataset.mp4 72.24 MB
12 - Working With Dates & Times/008 Date Math & TimeDeltas.mp4 68.03 MB
12 - Working With Dates & Times/009 Billboard Charts Dataset Exploration.mp4 88.93 MB
12 - Working With Dates & Times/010 EXERCISE Dates & Times.mp4 33.52 MB
12 - Working With Dates & Times/011 SOLUTION Dates & Times.mp4 115.74 MB
13 - Matplotlib/001 Intro to Matplotlib.mp4 32.8 MB
13 - Matplotlib/002 Our First Matplotlib Plots!.mp4 38.12 MB
13 - Matplotlib/003 Do We Need plt.show().mp4 14.98 MB
13 - Matplotlib/004 Anatomy of Plots.mp4 45.36 MB
13 - Matplotlib/005 Figsize & Plot Dimensions.mp4 28.7 MB
13 - Matplotlib/006 Changing Matplotlib Stylesheets.mp4 28.77 MB
13 - Matplotlib/007 Line Styles, Colors, Widths, and More!.mp4 71.39 MB
13 - Matplotlib/008 Plot Labels & Titles.mp4 49.62 MB
13 - Matplotlib/009 Changing X & Y Ticks.mp4 53.16 MB
13 - Matplotlib/010 Adding Legends To Plots.mp4 39.61 MB
13 - Matplotlib/011 EXERCISE Matplotlib Challenge #1.mp4 35.76 MB
13 - Matplotlib/012 Creating Bar Plots.mp4 69.01 MB
13 - Matplotlib/013 Creating Histograms.mp4 77.71 MB
13 - Matplotlib/014 EXERCISE Matplotlib Challenge #2.mp4 28.29 MB
13 - Matplotlib/015 Creating Scatter Plots.mp4 35.21 MB
13 - Matplotlib/016 Creating Pie Charts.mp4 50.96 MB
13 - Matplotlib/017 EXERCISE Matplotlib Challenge #3.mp4 34.9 MB
13 - Matplotlib/018 Working With Subplots.mp4 74.84 MB
13 - Matplotlib/019 Putting It All Together.mp4 46.88 MB
13 - Matplotlib/020 EXERCISE Matplotlib Challenge #4.mp4 74.81 MB
14 - Revisiting Pandas Plotting/001 A Pandas Plotting Recap.mp4 36.15 MB
14 - Revisiting Pandas Plotting/002 Changing Pandas Plot Styles.mp4 18.74 MB
14 - Revisiting Pandas Plotting/003 Adding Labels and Titles to Pandas Plots.mp4 55.16 MB
14 - Revisiting Pandas Plotting/004 Using rename() When Plotting.mp4 21.28 MB
14 - Revisiting Pandas Plotting/005 Closer Look at Pandas Bar Plots.mp4 56.31 MB
14 - Revisiting Pandas Plotting/006 EXERCISE Pandas Plotting Challenge #1.mp4 61.17 MB
14 - Revisiting Pandas Plotting/007 Pandas Histograms.mp4 19.7 MB
14 - Revisiting Pandas Plotting/008 Box Plots.mp4 31.98 MB
14 - Revisiting Pandas Plotting/009 Pandas Line Plots.mp4 34.65 MB
14 - Revisiting Pandas Plotting/010 EXERCISE Pandas Plotting Challenge #2.mp4 29.89 MB
14 - Revisiting Pandas Plotting/011 Pandas Scatter Plots.mp4 23.65 MB
14 - Revisiting Pandas Plotting/012 Multiple Plots On The Same Axes.mp4 35.74 MB
14 - Revisiting Pandas Plotting/013 UFOS Plotting Challenge!.mp4 46.51 MB
14 - Revisiting Pandas Plotting/014 EXERCISE Pandas Plotting Challenge #3.mp4 30.59 MB
14 - Revisiting Pandas Plotting/015 Pandas Automatic Subplots.mp4 54.58 MB
14 - Revisiting Pandas Plotting/016 Manual Subplots With Pandas.mp4 47.22 MB
14 - Revisiting Pandas Plotting/017 EXERCISE Pandas Plotting Challenge #4.mp4 107.87 MB
14 - Revisiting Pandas Plotting/018 EXERCISE Pandas Plotting Challenge #5.mp4 109.16 MB
14 - Revisiting Pandas Plotting/019 Exporting Figures With savefig().mp4 27.17 MB
15 - Grouping & Aggregating/001 Introducing Groupby.mp4 51.4 MB
15 - Grouping & Aggregating/002 Exploring Groups.mp4 72.18 MB
15 - Grouping & Aggregating/003 Split-Apply-Combine.mp4 59.01 MB
15 - Grouping & Aggregating/004 Using The Agg Method.mp4 54.23 MB
15 - Grouping & Aggregating/005 Agg with Custom Functions.mp4 15.12 MB
15 - Grouping & Aggregating/006 Named Aggregation.mp4 29.09 MB
16 - Hierarchical Indexing/001 Groupby With Multiple Columns.mp4 45.78 MB
16 - Hierarchical Indexing/002 Creating a MultiIndex With set_index.mp4 38.37 MB
16 - Hierarchical Indexing/003 Sorting A MultiIndex.mp4 41.24 MB
16 - Hierarchical Indexing/004 Using .loc[] With A MultiIndex.mp4 49.59 MB
16 - Hierarchical Indexing/005 Cross Sections With The XS Method.mp4 12.89 MB
16 - Hierarchical Indexing/006 get_level_values().mp4 49.27 MB
16 - Hierarchical Indexing/007 Hierarchical Columns.mp4 29.92 MB
16 - Hierarchical Indexing/008 Stack() and Unstack().mp4 30.91 MB
16 - Hierarchical Indexing/009 Plotting With Unstack().mp4 43.56 MB
16 - Hierarchical Indexing/010 Grouping By Index.mp4 26.51 MB
17 - Working With Text/001 The String Datatype Vs. Object Datatype.mp4 50.2 MB
17 - Working With Text/002 Upper(), Lower(), and Capitalize().mp4 28.48 MB
17 - Working With Text/003 Indexing String Series With [].mp4 40.1 MB
17 - Working With Text/004 Stripping Whitespace With Strip().mp4 18.66 MB
17 - Working With Text/005 Splitting Text Values With Split().mp4 49.17 MB
17 - Working With Text/006 Replacing Portions of Strings With Replace().mp4 52.2 MB
17 - Working With Text/007 Testing Strings With Contains().mp4 28.39 MB
18 - Apply, Map, & Applymap/001 Applying Functions To Series.mp4 50.51 MB
18 - Apply, Map, & Applymap/002 Apply() With Lambdas & Arguments.mp4 32.69 MB
18 - Apply, Map, & Applymap/003 Apply() w DataFrames Columns.mp4 24.77 MB
18 - Apply, Map, & Applymap/004 Apply() w DataFrames Rows.mp4 42.06 MB
18 - Apply, Map, & Applymap/005 The Series Map() Method.mp4 16.72 MB
18 - Apply, Map, & Applymap/006 The ApplyMap() Method.mp4 24.71 MB
19 - Combining Series & DataFrames/001 Concatenating Series.mp4 29.7 MB
19 - Combining Series & DataFrames/002 Concatenating Series By Index.mp4 22.12 MB
19 - Combining Series & DataFrames/003 Inner vs. Outer Joins.mp4 18.38 MB
19 - Combining Series & DataFrames/004 Concatenating DataFrames By Columns.mp4 26.67 MB
19 - Combining Series & DataFrames/005 Concatenating DataFrames By Index.mp4 16.4 MB
19 - Combining Series & DataFrames/006 The DataFrame Merge() Method.mp4 34.14 MB
19 - Combining Series & DataFrames/007 Merge() w Left, Right, Inner, & Outer Joins.mp4 41.98 MB
19 - Combining Series & DataFrames/008 Merge() On and Suffixes Arguments.mp4 59.14 MB
20 - Seaborn/001 Intro to Seaborn.mp4 63.95 MB
20 - Seaborn/002 The Helpful load_dataset() method.mp4 26.58 MB
20 - Seaborn/003 Seaborn Scatterplots.mp4 75.23 MB
20 - Seaborn/004 Seaborn Lineplots.mp4 86.54 MB
20 - Seaborn/005 The relplot() Method.mp4 84.97 MB
20 - Seaborn/006 Resizing Seaborn Plots Aspect & Height.mp4 63.21 MB
20 - Seaborn/007 Seaborn Histograms.mp4 38.67 MB
20 - Seaborn/008 KDE Plots.mp4 21.03 MB
20 - Seaborn/009 Bivariate Distribution Plots.mp4 40.73 MB
20 - Seaborn/010 Rugplots.mp4 39.19 MB
20 - Seaborn/011 The Amazing displot() Method.mp4 52.18 MB
21 - Seaborn Categorical Plots/001 Countplot.mp4 19.19 MB
21 - Seaborn Categorical Plots/002 Strip & Swarm Plots.mp4 67.72 MB
21 - Seaborn Categorical Plots/003 Boxplots.mp4 49.14 MB
21 - Seaborn Categorical Plots/004 Boxenplots.mp4 15.38 MB
21 - Seaborn Categorical Plots/005 Violinplots.mp4 28.98 MB
21 - Seaborn Categorical Plots/006 Barplots.mp4 55.43 MB
21 - Seaborn Categorical Plots/007 The Big Boy Catplot Method.mp4 61.61 MB
22 - Controlling Seaborn Aesthetics/001 Changing Seaborn Themes.mp4 27.29 MB
22 - Controlling Seaborn Aesthetics/002 Customizing Styles with set_style().mp4 48.9 MB
22 - Controlling Seaborn Aesthetics/003 Altering Spines With despine().mp4 17.67 MB
22 - Controlling Seaborn Aesthetics/004 Changing Color Palettes.mp4 68.68 MB
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