What You'll Learn
- Introduction to Python for Data Visualization
- Installing Required Libraries (Matplotlib, Seaborn, Plotly, etc.)
- Basic Plotting: Line Plots, Scatter Plots, and Bar Charts
- Customizing Plots: Titles, Labels, and Legends
- Creating Subplots for Multiple Charts
- Adding Annotations and Text to Plots
- Saving and Exporting Charts for Different Formats
- Customizing Aesthetics with Seaborn Themes and Styles
- Creating Pair Plots, Heatmaps, and Violin Plots
- Visualizing Relationships with Seaborn (Categorical, Linear, and Non-linear)
- Creating Interactive Line, Bar, and Scatter Plots
- Building Interactive Dashboards with Plotly Dash
- Visualizing Time Series Data
- Optimizing Performance for Large Data Visualizations
- Principles of Effective Data Storytelling
- Using Color Effectively in Data Visualizations
Requirements
- No Prior Experience Required
Who This Course is For
- Anyone interested in Python programming, Python scripting, machine learning, data science and data visualization.
- Those who are interested to learn data science or data visualization application.
- Aspiring Data Scientists building core visualization skills as part of their learning journey.
- Anyone looking to better understand and communicate data through visuals.
Your Instructor
Click Learning
Instructor at Udemy
4.1 Instructor Rating
4,049 Reviews
149,226 Students
37 Courses
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