Data Visualization with Bokeh and Plotly E-Learning

Order this unique E-Learning course Data Visualization with Bokeh and Plotly online!
✔️ 1 year 24/7 access to interactive videos, voice support, progress monitoring through reports and tests per chapter to immediately test your knowledge.

Why choose this course?

This course provides a detailed introduction to two powerful Python libraries for data visualization: Bokeh and Plotly. These tools help you create dynamic, interactive, and visually appealing charts and dashboards that improve data communication and enable powerful insights.

What you will learn:

• Introduction to Bokeh and Plotly: Learn the basics of both libraries, how they work and what they are best used for.
• Data analysis and visualization: Discover how to efficiently load and visualize data in different formats such as graphs, maps, and interactive dashboards.
• Interactivity in visualizations: Create interactive elements such as sliders, buttons, and menus so that users can interact with the visualizations dynamically.
• Integration with web applications: Learn how to integrate Bokeh and Plotly visualizations into web applications to make your data more accessible.
• Advanced visualization techniques: Develop complex graphs such as 3D visualizations, time series, and geospatial visualizations.
• Practical examples and case studies: Learn how to use the tools to solve real-world data analysis problems and create interactive dashboards for decision-making.

By taking this course, you'll learn how to create powerful and easy-to-use visualizations with Python, taking data communications to the next level.

Who should participate?

This course is suitable for:

• Data analysts and scientists who want to learn how to present data in an interactive and visually appealing way.
• Python developers who want to expand their knowledge of data analysis by using visualization tools such as Bokeh and Plotly.
• Business Intelligence professionals who need visual reports to support decisions.
• Engineers and researchers who want to visualize and share scientific data with a broader audience.
• Students and beginners who are interested in data analysis and want to learn how to create professional visualizations with Python.
• Marketing and sales teams looking to create insights by presenting data in a visual way.

If you're interested in improving your data visualization skills using the latest Python tools, this course is for you!

Demo Data Visualization with Bokeh and Plotly Training

Course content

Data Visualization: Building Interactive Visualizations with Bokeh

Course: 1 Hour, 6 Minutes

• Course Overview
• Installing Bokeh
• Saving Bokeh Charts as PNG and HTML Files
• Displaying Bokeh Charts Inline in Jupyter Notebooks
• Creating Bar Charts in Bokeh
• Creating Stacked Bar Charts in Bokeh
• Implementing Bokeh Clustered Bar Charts
• Visualizing Data in Bokeh Using Pie Charts
• Creating Donut Charts in Bokeh
• Course Summary

Data Visualization: More Specialized Visualizations in Bokeh

Course: 1 Hour, 8 Minutes

• Course Overview
• Creating Scatter Plots Using Bokeh
• Visualizing Relationships with Bokeh Scatter Plots
• Customizing Scatter Plots in Bokeh
• Visualizing Data Using Bokeh Heatmaps
• Creating Line Charts in Bokeh
• Customizing Line Charts with Area Charts in Bokeh
• Visualizing Data Using Bokeh Network Charts
• Course Summary

Data Visualization: Getting Started with Plotly

Course: 1 Hour, 9 Minutes

• Course Overview
• Installing Plotly
• Components of Plotly Graphs
• Creating Box Plots in Plotly
• Plotting Categorical Data with Box and Strip Plots
• Customizing Plotly Box Plots
• Visualizing Financial Data Using Candlestick Charts
• Visualizing Data Using Plotly Funnel Charts
• Course Summary

Data Visualization: Visualizing Data Using Advanced Charts in Plotly

Course: 1 Hour, 10 Minutes

• Course Overview
• Creating Radar Charts in Plotly
• Components of Plotly Radar Charts
• Visualizing Hierarchical Data Using Sunburst Charts
• Visualizing Schedules in Plotly Using Gantt Charts
• Creating Sankey Diagrams in Plotly
• Visualizing Data Using Plotly Sankey Diagrams
• Visualizing Geographical Data Using Plotly Maps
• Course Summary

Start your journey in data analysis and visualization today!

✔️ Flexible learning: Study the course at your own pace with rich interactive videos and voice support.
✔️ Immediately applicable knowledge: Test your progress with quizzes and practical assignments to immediately apply your new skills.
✔️ Certificate of Participation: Receive a Certificate of Participation after completing the course.
✔️ Create interactive visualizations: Learn how to create powerful visualizations that improve decision-making and strengthen your data communications.

Order your course now and become an expert in data analysis and visualization with Bokeh and Plotly!