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[FreeCourseSite.com] Udemy - 2022 Python Data Analysis & Visualization Masterclass
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2022-6-9 20:06
2024-12-19 10:41
164
8.38 GB
199
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FreeCourseSite
com
Udemy
-
2022
Python
Data
Analysis
&
Visualization
Masterclass
文件列表
01 - Introduction/001 Course Welcome & Curriculum Walkthrough.mp4
116.97MB
01 - Introduction/002 What Do You Need To Know To Take This Course.mp4
16.78MB
01 - Introduction/003 Downloading The Course Materials IMPORTANT!!.mp4
28.41MB
01 - Introduction/004 How The Exercises Work.mp4
18.66MB
02 - Setup & Installation/001 Introducing Jupyter Notebook!.mp4
44.62MB
02 - Setup & Installation/002 Mac Installation Walkthrough.mp4
57.42MB
02 - Setup & Installation/003 Windows Installation Walkthrough.mp4
54.66MB
02 - Setup & Installation/004 Installing Pandas & Matplotlib (Mac & Windows).mp4
20.8MB
03 - Working With Jupyter Notebook/001 Creating Notebooks & Running Cells.mp4
39.05MB
03 - Working With Jupyter Notebook/002 Shutting Down The Notebook Server.mp4
33.64MB
03 - Working With Jupyter Notebook/003 How Cell Output Works.mp4
6.12MB
03 - Working With Jupyter Notebook/004 Command Mode Shortcuts.mp4
35.46MB
03 - Working With Jupyter Notebook/005 Cell Types Markdown Time!.mp4
34.21MB
03 - Working With Jupyter Notebook/006 Restarting The Kernel.mp4
26.2MB
03 - Working With Jupyter Notebook/007 Viewing The Docs Inside A Notebook.mp4
21.9MB
03 - Working With Jupyter Notebook/008 EXERCISE Jupyter Notebook.mp4
15.98MB
03 - Working With Jupyter Notebook/009 SOLUTION Jupyter Notebook.mp4
39.11MB
04 - Dataframes & Datasets/001 Datasets & CSV.mp4
42.9MB
04 - Dataframes & Datasets/002 pd.read_csv & DataFrames.mp4
47.9MB
04 - Dataframes & Datasets/003 Inspecting DataFrames head(), tail(), etc.mp4
68.09MB
04 - Dataframes & Datasets/004 DataTypes and info().mp4
39.75MB
04 - Dataframes & Datasets/005 The House Sales Dataset Walkthrough.mp4
53.06MB
04 - Dataframes & Datasets/006 The Titanic Passenger Dataset Walkthrough.mp4
79.67MB
04 - Dataframes & Datasets/007 Non-comma Separators Netflix Dataset.mp4
85.13MB
04 - Dataframes & Datasets/008 Overriding Headers Country Population Dataset.mp4
40.92MB
04 - Dataframes & Datasets/009 EXERCISE DataFrames & Datasets.mp4
17.49MB
04 - Dataframes & Datasets/010 SOLUTION DataFrames & Datasets.mp4
82.32MB
05 - Basic DataFrame Methods & Computations/001 Min & Max.mp4
37.56MB
05 - Basic DataFrame Methods & Computations/002 Sum & Count.mp4
71.06MB
05 - Basic DataFrame Methods & Computations/003 Mean, Median, & Mode.mp4
30.25MB
05 - Basic DataFrame Methods & Computations/004 Describe With Numeric Values.mp4
29.28MB
05 - Basic DataFrame Methods & Computations/005 Describe With Objects (Text) Values.mp4
54.48MB
05 - Basic DataFrame Methods & Computations/006 EXERCISE Basic DataFrame Methods.mp4
13.47MB
05 - Basic DataFrame Methods & Computations/007 SOLUTION Basic DataFrame Methods.mp4
31.66MB
06 - Series & Columns/001 Selecting A Single Column.mp4
43.19MB
06 - Series & Columns/002 A Closer Look At Series.mp4
51.03MB
06 - Series & Columns/003 Important Series Methods.mp4
17.36MB
06 - Series & Columns/004 unique & nunique.mp4
29.62MB
06 - Series & Columns/005 nlargest & nsmallest.mp4
53.88MB
06 - Series & Columns/006 Selecting Multiple Columns.mp4
21.79MB
06 - Series & Columns/007 The powerful value_counts() method.mp4
47.57MB
06 - Series & Columns/008 Using plot() to visualize!.mp4
59.72MB
06 - Series & Columns/009 EXERCISE Series & Plotting.mp4
18.2MB
06 - Series & Columns/010 SOLUTION Series & Plotting.mp4
63.63MB
07 - Indexing & Sorting/001 Set_Index Basics.mp4
57.21MB
07 - Indexing & Sorting/002 set_index The World Happiness Index Dataset.mp4
36.41MB
07 - Indexing & Sorting/003 setting index with read_csv.mp4
20.54MB
07 - Indexing & Sorting/004 sort_values intro.mp4
34.9MB
07 - Indexing & Sorting/005 sorting by multiple columns.mp4
26.35MB
07 - Indexing & Sorting/006 sorting text columns.mp4
26.74MB
07 - Indexing & Sorting/007 sort_index.mp4
19.39MB
07 - Indexing & Sorting/008 Sorting and Plotting!.mp4
22.45MB
07 - Indexing & Sorting/009 loc.mp4
53.8MB
07 - Indexing & Sorting/010 iloc.mp4
31.01MB
07 - Indexing & Sorting/011 loc & iloc with Series.mp4
31.51MB
07 - Indexing & Sorting/012 EXERCISE Indexes & Sorting.mp4
29.02MB
07 - Indexing & Sorting/013 SOLUTION Indexes & Sorting.mp4
83.17MB
08 - Filtering DataFrames/001 Filtering DataFrames With A Boolean Series.mp4
51.22MB
08 - Filtering DataFrames/002 Filtering With Comparison Operators.mp4
56.47MB
08 - Filtering DataFrames/003 The Between Method.mp4
20.9MB
08 - Filtering DataFrames/004 The isin() Method.mp4
26.75MB
08 - Filtering DataFrames/005 Combining Conditions Using AND (&).mp4
83.67MB
08 - Filtering DataFrames/006 Combining Conditions Using OR ().mp4
91.18MB
08 - Filtering DataFrames/007 Bitwise Negation.mp4
40.97MB
08 - Filtering DataFrames/008 isna() and notna() Methods.mp4
27.4MB
08 - Filtering DataFrames/009 Filtering + Plotting Examples.mp4
34.79MB
08 - Filtering DataFrames/010 EXERCISE Filtering.mp4
12.83MB
08 - Filtering DataFrames/011 SOLUTION Filtering Exercise.mp4
85.89MB
09 - Adding & Removing Columns/001 Dropping Columns.mp4
47.57MB
09 - Adding & Removing Columns/002 Dropping Rows.mp4
45.86MB
09 - Adding & Removing Columns/003 Adding Static Columns.mp4
41.25MB
09 - Adding & Removing Columns/004 Creating New Dynamic Columns.mp4
41.07MB
09 - Adding & Removing Columns/005 Finding The Highest pricesqft homes.mp4
28.23MB
09 - Adding & Removing Columns/006 Finding Largest Bitcoin Price Changes.mp4
37.6MB
09 - Adding & Removing Columns/007 EXERCISE AddingRemoving Columns & Rows.mp4
24.59MB
09 - Adding & Removing Columns/008 SOLUTION AddingRemoving Columns & Rows.mp4
46.7MB
10 - Updating Values/001 Renaming Columns and Index Labels.mp4
35.53MB
10 - Updating Values/002 The replace() method.mp4
47.05MB
10 - Updating Values/003 Updating Values Using loc[].mp4
27.09MB
10 - Updating Values/004 Updating Multiple Values Using loc[].mp4
31.7MB
10 - Updating Values/005 Making Updates With loc[] and Boolean Masks.mp4
54.61MB
10 - Updating Values/006 EXERCISE Updating Values.mp4
16.12MB
10 - Updating Values/007 SOLUTION Updating Values Exercise.mp4
70.35MB
11 - Working With Types and NA Values/001 Casting Types With astype().mp4
45.21MB
11 - Working With Types and NA Values/002 Introducing the Category Type.mp4
32.05MB
11 - Working With Types and NA Values/003 Casting With pd.to_numeric().mp4
32.66MB
11 - Working With Types and NA Values/004 dropna() and isna().mp4
55.98MB
11 - Working With Types and NA Values/005 fillna().mp4
35.73MB
11 - Working With Types and NA Values/006 EXERCISE Dealing With NA Values.mp4
12.55MB
11 - Working With Types and NA Values/007 SOLUTION Dealing With NA Values.mp4
42.3MB
12 - Working With Dates & Times/001 Why Dates Matter.mp4
39.68MB
12 - Working With Dates & Times/002 Converting With pd.to_datetime().mp4
44.79MB
12 - Working With Dates & Times/003 Specifying Fancy Formats With pd.to_datetime().mp4
68MB
12 - Working With Dates & Times/004 Dates and DataFrames.mp4
67.39MB
12 - Working With Dates & Times/005 The Useful dt Properties.mp4
56.24MB
12 - Working With Dates & Times/006 Comparing Dates.mp4
40.45MB
12 - Working With Dates & Times/007 Finding StarLink Flybys In UFO Dataset.mp4
72.24MB
12 - Working With Dates & Times/008 Date Math & TimeDeltas.mp4
68.03MB
12 - Working With Dates & Times/009 Billboard Charts Dataset Exploration.mp4
88.93MB
12 - Working With Dates & Times/010 EXERCISE Dates & Times.mp4
33.52MB
12 - Working With Dates & Times/011 SOLUTION Dates & Times.mp4
115.74MB
13 - Matplotlib/001 Intro to Matplotlib.mp4
32.8MB
13 - Matplotlib/002 Our First Matplotlib Plots!.mp4
38.12MB
13 - Matplotlib/003 Do We Need plt.show().mp4
14.98MB
13 - Matplotlib/004 Anatomy of Plots.mp4
45.36MB
13 - Matplotlib/005 Figsize & Plot Dimensions.mp4
28.7MB
13 - Matplotlib/006 Changing Matplotlib Stylesheets.mp4
28.77MB
13 - Matplotlib/007 Line Styles, Colors, Widths, and More!.mp4
71.39MB
13 - Matplotlib/008 Plot Labels & Titles.mp4
49.62MB
13 - Matplotlib/009 Changing X & Y Ticks.mp4
53.16MB
13 - Matplotlib/010 Adding Legends To Plots.mp4
39.61MB
13 - Matplotlib/011 EXERCISE Matplotlib Challenge #1.mp4
35.76MB
13 - Matplotlib/012 Creating Bar Plots.mp4
69.01MB
13 - Matplotlib/013 Creating Histograms.mp4
77.71MB
13 - Matplotlib/014 EXERCISE Matplotlib Challenge #2.mp4
28.29MB
13 - Matplotlib/015 Creating Scatter Plots.mp4
35.21MB
13 - Matplotlib/016 Creating Pie Charts.mp4
50.96MB
13 - Matplotlib/017 EXERCISE Matplotlib Challenge #3.mp4
34.9MB
13 - Matplotlib/018 Working With Subplots.mp4
74.84MB
13 - Matplotlib/019 Putting It All Together.mp4
46.88MB
13 - Matplotlib/020 EXERCISE Matplotlib Challenge #4.mp4
74.81MB
14 - Revisiting Pandas Plotting/001 A Pandas Plotting Recap.mp4
36.15MB
14 - Revisiting Pandas Plotting/002 Changing Pandas Plot Styles.mp4
18.74MB
14 - Revisiting Pandas Plotting/003 Adding Labels and Titles to Pandas Plots.mp4
55.16MB
14 - Revisiting Pandas Plotting/004 Using rename() When Plotting.mp4
21.28MB
14 - Revisiting Pandas Plotting/005 Closer Look at Pandas Bar Plots.mp4
56.31MB
14 - Revisiting Pandas Plotting/006 EXERCISE Pandas Plotting Challenge #1.mp4
61.17MB
14 - Revisiting Pandas Plotting/007 Pandas Histograms.mp4
19.7MB
14 - Revisiting Pandas Plotting/008 Box Plots.mp4
31.98MB
14 - Revisiting Pandas Plotting/009 Pandas Line Plots.mp4
34.65MB
14 - Revisiting Pandas Plotting/010 EXERCISE Pandas Plotting Challenge #2.mp4
29.89MB
14 - Revisiting Pandas Plotting/011 Pandas Scatter Plots.mp4
23.65MB
14 - Revisiting Pandas Plotting/012 Multiple Plots On The Same Axes.mp4
35.74MB
14 - Revisiting Pandas Plotting/013 UFOS Plotting Challenge!.mp4
46.51MB
14 - Revisiting Pandas Plotting/014 EXERCISE Pandas Plotting Challenge #3.mp4
30.59MB
14 - Revisiting Pandas Plotting/015 Pandas Automatic Subplots.mp4
54.58MB
14 - Revisiting Pandas Plotting/016 Manual Subplots With Pandas.mp4
47.22MB
14 - Revisiting Pandas Plotting/017 EXERCISE Pandas Plotting Challenge #4.mp4
107.87MB
14 - Revisiting Pandas Plotting/018 EXERCISE Pandas Plotting Challenge #5.mp4
109.16MB
14 - Revisiting Pandas Plotting/019 Exporting Figures With savefig().mp4
27.17MB
15 - Grouping & Aggregating/001 Introducing Groupby.mp4
51.4MB
15 - Grouping & Aggregating/002 Exploring Groups.mp4
72.18MB
15 - Grouping & Aggregating/003 Split-Apply-Combine.mp4
59.01MB
15 - Grouping & Aggregating/004 Using The Agg Method.mp4
54.23MB
15 - Grouping & Aggregating/005 Agg with Custom Functions.mp4
15.12MB
15 - Grouping & Aggregating/006 Named Aggregation.mp4
29.09MB
16 - Hierarchical Indexing/001 Groupby With Multiple Columns.mp4
45.78MB
16 - Hierarchical Indexing/002 Creating a MultiIndex With set_index.mp4
38.37MB
16 - Hierarchical Indexing/003 Sorting A MultiIndex.mp4
41.24MB
16 - Hierarchical Indexing/004 Using .loc[] With A MultiIndex.mp4
49.59MB
16 - Hierarchical Indexing/005 Cross Sections With The XS Method.mp4
12.89MB
16 - Hierarchical Indexing/006 get_level_values().mp4
49.27MB
16 - Hierarchical Indexing/007 Hierarchical Columns.mp4
29.92MB
16 - Hierarchical Indexing/008 Stack() and Unstack().mp4
30.91MB
16 - Hierarchical Indexing/009 Plotting With Unstack().mp4
43.56MB
16 - Hierarchical Indexing/010 Grouping By Index.mp4
26.51MB
17 - Working With Text/001 The String Datatype Vs. Object Datatype.mp4
50.2MB
17 - Working With Text/002 Upper(), Lower(), and Capitalize().mp4
28.48MB
17 - Working With Text/003 Indexing String Series With [].mp4
40.1MB
17 - Working With Text/004 Stripping Whitespace With Strip().mp4
18.66MB
17 - Working With Text/005 Splitting Text Values With Split().mp4
49.17MB
17 - Working With Text/006 Replacing Portions of Strings With Replace().mp4
52.2MB
17 - Working With Text/007 Testing Strings With Contains().mp4
28.39MB
18 - Apply, Map, & Applymap/001 Applying Functions To Series.mp4
50.51MB
18 - Apply, Map, & Applymap/002 Apply() With Lambdas & Arguments.mp4
32.69MB
18 - Apply, Map, & Applymap/003 Apply() w DataFrames Columns.mp4
24.77MB
18 - Apply, Map, & Applymap/004 Apply() w DataFrames Rows.mp4
42.06MB
18 - Apply, Map, & Applymap/005 The Series Map() Method.mp4
16.72MB
18 - Apply, Map, & Applymap/006 The ApplyMap() Method.mp4
24.71MB
19 - Combining Series & DataFrames/001 Concatenating Series.mp4
29.7MB
19 - Combining Series & DataFrames/002 Concatenating Series By Index.mp4
22.12MB
19 - Combining Series & DataFrames/003 Inner vs. Outer Joins.mp4
18.38MB
19 - Combining Series & DataFrames/004 Concatenating DataFrames By Columns.mp4
26.67MB
19 - Combining Series & DataFrames/005 Concatenating DataFrames By Index.mp4
16.4MB
19 - Combining Series & DataFrames/006 The DataFrame Merge() Method.mp4
34.14MB
19 - Combining Series & DataFrames/007 Merge() w Left, Right, Inner, & Outer Joins.mp4
41.98MB
19 - Combining Series & DataFrames/008 Merge() On and Suffixes Arguments.mp4
59.14MB
20 - Seaborn/001 Intro to Seaborn.mp4
63.95MB
20 - Seaborn/002 The Helpful load_dataset() method.mp4
26.58MB
20 - Seaborn/003 Seaborn Scatterplots.mp4
75.23MB
20 - Seaborn/004 Seaborn Lineplots.mp4
86.54MB
20 - Seaborn/005 The relplot() Method.mp4
84.97MB
20 - Seaborn/006 Resizing Seaborn Plots Aspect & Height.mp4
63.21MB
20 - Seaborn/007 Seaborn Histograms.mp4
38.67MB
20 - Seaborn/008 KDE Plots.mp4
21.03MB
20 - Seaborn/009 Bivariate Distribution Plots.mp4
40.73MB
20 - Seaborn/010 Rugplots.mp4
39.19MB
20 - Seaborn/011 The Amazing displot() Method.mp4
52.18MB
21 - Seaborn Categorical Plots/001 Countplot.mp4
19.19MB
21 - Seaborn Categorical Plots/002 Strip & Swarm Plots.mp4
67.72MB
21 - Seaborn Categorical Plots/003 Boxplots.mp4
49.14MB
21 - Seaborn Categorical Plots/004 Boxenplots.mp4
15.38MB
21 - Seaborn Categorical Plots/005 Violinplots.mp4
28.98MB
21 - Seaborn Categorical Plots/006 Barplots.mp4
55.43MB
21 - Seaborn Categorical Plots/007 The Big Boy Catplot Method.mp4
61.61MB
22 - Controlling Seaborn Aesthetics/001 Changing Seaborn Themes.mp4
27.29MB
22 - Controlling Seaborn Aesthetics/002 Customizing Styles with set_style().mp4
48.9MB
22 - Controlling Seaborn Aesthetics/003 Altering Spines With despine().mp4
17.67MB
22 - Controlling Seaborn Aesthetics/004 Changing Color Palettes.mp4
68.68MB
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