Udemy - Data Visualization Made Easy with Seaborn and Python

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - The Mechanics of Seaborn & Matplotlib
• 1 - Environment setup and Installing Seaborn.mp4 (11.7 MB)
• 2 - Matplotlib & Seaborn - How Do They Work Together.mp4 (50.6 MB)
• 3 - Preparing Data for Graphing + Your First Graph! - customization.py (1.8 KB)
• 3 - Preparing Data for Graphing + Your First Graph!.mp4 (50.9 MB)
• 4 - Displaying Graphs on the Screen - showing.py (0.2 KB)
• 4 - Displaying Graphs on the Screen.mp4 (37.3 MB)
• 5 - Saving Graphs to File - saving.py (0.2 KB)
• 5 - Saving Graphs to File.mp4 (27.1 MB)
• 6 - Funky Ways to Make Graphs!.mp4 (103.6 MB)
• 7 - Seaborn Customisation - Seaborn Aesthetics.url (0.1 KB)
• 7 - Seaborn Customisation.mp4 (61.8 MB)
2 - Graphing Basics
• 1 - What is a Graph.mp4 (71.3 MB)
• 2 - Telling an Effective Story With Your Graph.mp4 (119.2 MB)
• 3 - Graph types.mp4 (89.4 MB)
3 - Resources
• 1 - How To Use This Section! - Kaggle Datasets.url (0.1 KB)
• 1 - How To Use This Section! - Seaborn Datasets.url (0.1 KB)
• 1 - How To Use This Section! - StudentsPerformance.csv (70.3 KB)
• 1 - How To Use This Section! - TSLA.csv (171.0 KB)
• 1 - How To Use This Section! - corona1.csv (1.1 MB)
• 1 - How To Use This Section! - diamonds.csv (2.6 MB)
• 1 - How To Use This Section! - exercise.csv (2.7 KB)
• 1 - How To Use This Section! - flights.csv (2.3 KB)
• 1 - How To Use This Section! - healthexp.csv (7.1 KB)
• 1 - How To Use This Section! - iris.csv (3.8 KB)
• 1 - How To Use This Section! - tips.csv (9.5 KB)
• 1 - How To Use This Section! - titanic.csv (55.7 KB)
• 1 - How To Use This Section!.mp4 (20.5 MB)
4 - Visualising Categorical Data
• 1 - Simple Barplots - Seaborn Docs.url (0.1 KB)
• 1 - Simple Barplots - simple_barplots.py (1.3 KB)
• 1 - Simple Barplots.mp4 (90.9 MB)
• 2 - Advanced Barplots - Seaborn Docs.url (0.1 KB)
• 2 - Advanced Barplots - advanced_barplots.py (1.4 KB)
• 2 - Advanced Barplots.mp4 (72.8 MB)
• 3 - Plotting Categorical Data with Pointplots - Seaborn Docs.url (0.1 KB)
• 3 - Plotting Categorical Data with Pointplots - basic_pointplots.py (1.3 KB)
• 3 - Plotting Categorical Data with Pointplots.mp4 (52.9 MB)
• 4 - Plotting Categorical data with Boxplots - Seaborn Docs.url (0.1 KB)
• 4 - Plotting Categorical data with Boxplots - basic_boxplots.py (1.8 KB)
• 4 - Plotting Categorical data with Boxplots.mp4 (61.9 MB)
5 - Visualising Time Series Data
• 1 - Understanding Time Series Data.mp4 (33.8 MB)
• 2 - Plotting a single variable - Seaborn Docs.url (0.1 KB)
• 2 - Plotting a single variable - time_plot.py (1.2 KB)
• 2 - Plotting a single variable.mp4 (66.6 MB)
• 3 - Plotting multiple variables - Seaborn Docs.url (0.1 KB)
• 3 - Plotting multiple variables - time_plot_multi.py (1.2 KB)
• 3 - Plotting multiple variables.mp4 (58.8 MB)
• 4 - Line Plot Customisation - Seaborn Docs.url (0.1 KB)
• 4 - Line Plot Customisation - time_plot_customs.py (1.7 KB)
• 4 - Line Plot Customisation.mp4 (42.9 MB)
6 - Visualising Distributions
• 1 - Understanding Distributions.mp4 (32.1 MB)
• 2 - Basic Histograms - Seaborn Docs.url (0.1 KB)
• 2 - Basic Histograms - univariate_histograms.py (1.1 KB)
• 2 - Basic Histograms.mp4 (80.0 MB)
• 3 - Bivariate Histograms - Seaborn Docs.url (0.1 KB)
• 3 - Bivariate Histograms - bivariate_histograms.py (1.6 KB)
• 3 - Bivariate Histograms.mp4 (41.2 MB)
• 4 - Kernel Density Estimations - KDE_plots.py (1.5 KB)
• 4 - Kernel Density Estimations - Seaborn Docs.url (0.1 KB)
• 4 - Kernel Density Estimations.mp4 (59.1 MB)
• 5 - Violin Plots - Seaborn Docs.url (0.1 KB)
• 5 - Violin Plots - violinplots.py (1.7 KB)
• 5 - Violin Plots.mp4 (61.8 MB)
7 - Visualising Statistical Relationships
• 1 - Scatter Plots - Seaborn Docs.url (0.1 KB)
• 1 - Scatter Plots - scatterplots_example.py (1.2 KB)
• 1 - Scatter Plots.mp4 (59.1 MB)
• 2 - Showing Multiple Relationships with Facetgrids - Seaborn Docs.url (0.1 KB)
• 2 - Showing Multiple Relationships with Facetgrids - facetgrid_example.py (1.8 KB)
• 2 - Showing Multiple Relationships with Facetgrids.mp4 (90.5 MB)
• 3 - Showing Correlation with Heatmaps - Seaborn Docs.url (0.1 KB)
• 3 - Showing Correlation with Heatmaps - heatmap_videocode.py (1.4 KB)
• 3 - Showing Correlation with Heatmaps.mp4 (62.7 MB)
• 4 - Combining the Scatterplot & Histogram - Seaborn Docs.url (0.1 KB)
• 4 - Combining the Scatterplot & Histogram - jointplot_example.py (1.7 KB)
• 4 - Combining the Scatterplot & Histogram.mp4 (51.7 MB)
8 - Plotting Regression Models
• 1 - Understanding Linear Regression - Understanding Linear Regression.url (0.1 KB)
• 1 - Understanding Linear Regression.mp4 (72.8 MB)
• 2 - Regression Plots - Seaborn Docs.url (0.1 KB)
• 2 - Regression Plots - regression_plot_example.py (1.5 KB)
• 2 - Regression Plots.mp4 (63.1 MB)
• 3 - Linear Model Plots - Seaborn Docs.url (0.1 KB)
• 3 - Linear Model Plots - linear_model_plot_example.py (1.4 KB)
• 3 - Linear Model Plots.mp4 (53.9 MB)
• 4 - Residual Plots - Seaborn Docs.url (0.1 KB)
• 4 - Residual Plots - residual_plot_example.py (1.6 KB)
• 4 - Residual Plots.mp4 (42.1 MB)
9 - Conclusion, and where to go next
• 1 - Thank You, What's Next.mp4 (28.3 MB)
• Bonus Resources.txt (0.1 KB)