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+# Data Visualization Course Outline
+
+## **Analyze Dozens Of Datasets and Create stunning Visualization**
+
+### 1. What Is Data Visualization?
+
+### 2. Why Learn Data Visualization?
+
+### 3. Different ways of Plotting.
+
+
+## MATPLOTLIB :
+* Intro To Matplotlib
+* Our First Matplotlib Plots!
+* Do We Need plt.show() ?
+* Anatomy of Plots
+* Figsize & Plot Dimensions
+* Changing Matplotlib Stylesheets
+* Line Styles, Colors, Widths, and More!
+* Plot Labels & Titles
+* Changing X & Y Ticks
+* Adding Legends To Plots
+* Creating Bar Plots
+* Creating Histograms
+* Creating Scatter Plots
+* Creating Pie Charts
+* Working With Subplots
+* Putting It All Together
+
+## Pandas Plotting 
+* A Pandas Plotting Recap
+* Changing Pandas Plot Styles
+* Adding Labels and Titles to Pandas Plots
+* Using rename() When Plotting
+* Closer Look at Pandas Bar Plots
+* Pandas Histograms
+* Box Plots
+* Pandas Line Plot
+* Pandas Scatter Plots
+* Multiple Plots On The Same Axes
+* Pandas Automatic Subplots
+* Manual Subplots With Pandas
+
+## Seaborn 
+* Intro to Seaborn
+* Why Seaborn?
+* The Helpful load_dataset() method
+* Seaborn Scatterplots
+* Seaborn Lineplots
+* The relplot() Method
+* Resizing Seaborn Plots: Aspect & Height
+* Seaborn Histograms
+* Count plot
+* Strip And Swarm Plots
+* Boxplots
+* Boxenplots
+* Barplots
+* KDE Plots
+* Bivariate Distribution Plots
+* Rugplots
+* The Amazing displot() Method
+* HeatMap
+* Wrap Up Video
+
+## Plotly
+* Introduction To Plotly
+* Why Plotly
+* scatter plots
+* histograms
+* cox plots
+* Plotly Vs Matplotlib
+* Line Plot
+* Scatter Plot 
+* Scattering 3-D
+* Box Plots
+* Pie Charts
+* 3-D Surface Plots
+* Wrap Up Video 
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