The Ultimate Python Data Visualization Course- Step By Step

سرفصل های دوره

Master Data Visualization with Python: A Complete Step-by-Step Guide to Unlocking the Power of Your Data

1 - Introduction to Data Visualization

1 -Introduction to Python for Data Visualization

2 -The Importance of Data Visualization and Typess

3 -Installing Required Libraries (Matplotlib, Seaborn, Plotly, etc.)

2 - Getting Started with Matplotlib

1 -Basic Plotting Line Plots, Scatter Plots, and Bar Charts

2 -Customizing Plots Titles, Labels, and Legends

3 -Working with Colors, Markers, and Line Styles

4 -Creating Subplots for Multiple Charts

3 - Advanced Matplotlib Techniques

1 -Customizing Plot Axes and Ticks

2 -Adding Annotations and Text to Plots

3 -Creating Histograms and Density Plots

4 -Working with 3D Plots in Matplotlib

5 -Saving and Exporting Charts for Different Formats

4 - Data Visualization with Seaborn

1 -Creating Pair Plots, Heatmaps, and Violin Plots

2 -Customizing Aesthetics with Seaborn Themes and Styles

3 -Visualizing Relationships with Seaborn (Categorical, Linear, and Non-linear)

5 - Interactive Visualizations with Plotly

1 -Creating Interactive Line, Bar, and Scatter Plots

2 -Visualizing Geospatial Data with Plotly

3 -Building Interactive Dashboards with Plotly Dash

6 - Visualizing Data with Pandas and Other Libraries

1 -Using Pandas for Quick Data Visualization

2 -Visualizing Time Series Data

3 -Data Visualization with Altair and Bokeh

4 -Creating Interactive Visualizations with Altair

7 - Visualizing Large Datasets

1 -Working with Big Data Challenges and Strategies

2 -Visualizing Data with Dask and Vaex

3 -Optimizing Performance for Large Data Visualizations

8 - Visual Storytelling and Design Principles

1 -Principles of Effective Data Storytelling

2 -Using Color Effectively in Data Visualizations

3 -Typography and Layout for Enhanced Clarity

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تولید کننده: Udemy