HomeCoursesMastering Plotly and Dash Data Visualization with Python

Beginner

18h

Updated 3 months ago

Mastering Plotly and Dash Data Visualization with Python

Learn Plotly and Dash to build interactive visualizations and dashboards with Python. Explore customization, interactivity, and complex datasets to create dynamic, data-driven applications.
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Discover the compelling universe of Plotly and Dash, versatile Python libraries that enable interactive data visualization and web dashboard applications. These tools are essential for anyone seeking to effectively communicate data narratives and build interactive data visualizations. You'll explore Plotly’s robust data visualization capabilities. You’ll create plots for univariate, bivariate and multivariate analysis before customizing and adding interactivity, using real world datasets. Then, you’ll build upon and use these skills when learning Dash as you build and customize analytical dashboard apps. You’ll journey through Dash's structure, from understanding layouts and HTML components to mastering Dash styling using CSS. You’ll learn the significance of callback functions, enhancing user interactivity, and experience the power of Dash's DataTable component. By the end of this course, you'll be able to create engaging visualizations with Plotly and develop interactive web applications using Dash.
Discover the compelling universe of Plotly and Dash, versatile Python libraries that enable interactive data visualization and w...Show More

WHAT YOU'LL LEARN

Proficiency in dynamic data visualization using Plotly including customizations and advanced features
Comprehensive understanding of various analysis techniques (univariate, bivariate, multivariate) with Plotly
Hands-on experience with creating interactive dashboards using Dash including web application development
The ability to transform complex data into insightful and interactive narratives using Plotly and Dash for data-driven insights
Proficiency in dynamic data visualization using Plotly including customizations and advanced features

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TAKEAWAY SKILLS

Data Visualization

Plotting

Graph

Python Programming

Machine Learning

Content

3.

Customizing Plots

8 Lessons

Work your way through customizing titles, axes, legends, colors, hover info, and annotations in Plotly.

4.

Advanced Customization

5 Lessons

Grasp the fundamentals of advanced customizations in Plotly, focusing on subplots and layering.

7.

Introducing Dash

4 Lessons

Practice using Dash to build interactive web apps with components, styling, and callback functions.

8.

Dash Layout

6 Lessons

Step through building responsive Dash applications with HTML, Graph, and Input components.

9.

Dash Styling

3 Lessons

Look at the integration of CSS for styling, utilizing stylesheets, and ensuring consistency in Dash.

11.

User Interactivity in Dash

3 Lessons

Enhance your skills in creating dynamic and interactive Plotly graphs with Dash.

12.

Tabular data in Dash DataTable

6 Lessons

Enhance data interaction with customizable DataTables. Utilize sorting, filtering, styling, and pagination features effectively.

13.

Conclusion

1 Lessons

Investigate the acquired skills for creating impressive visualizations and interactive applications.
Certificate of Completion
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