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!

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!