82% Off Python Data Visualization: Dashboards with Plotly & Dash | Udemy Review & Coupon

Learn how to create custom visualizations, interactive dashboards and web applications with Python and Plotly & Dash through hands-on, real-world projects.

The topics covered in this course.

Develop the skills and confidence to build complex data visualizations, dashboards and web applications with Plotly & Dash.

Plotly & Dash are powerful tools for creating interactive data visualizations, dashboards and web apps. Whether you're a beginner or an experienced developer, learning how to design visuals, add interactive elements and deploy custom applications will help you unlock the full potential of these powerful platforms .

Understand how to use callbacks to control the data flow of your visualizations. Discover how to take advantage of the cross-filtering capabilities of Plotly & Dash, making it easier to explore and compare data. Learn about creating real-time automation with a few lines of code. Explore more advanced topics like adding custom components for complex visualizations and developing automated processes.

G ather insights from your data with confidence by mastering the fundamentals of Plotly & Dash.

Learn how to customize your visuals with styling and annotations. Get familiar with the different layout options available in Plotly & Dash, so you can create a unique look for your visualizations. Practice working with Dash data tables, enabling you to show tabular data alongside other interactive visuals. Develop skills in deploying your applications live so you can share them with others or make them available online. Understand how to use Plotly & Dash for data analysis and machine learning.

Create meaningful visualizations with Plotly & Dash. Learn how to design visuals, add interactive elements and deploy custom applications that will bring your data to life. Use callbacks to control the data flow and take advantage of cross-filtering capabilities for a better understanding of your data. Explore advanced topics such as adding custom components for complex visualizations, developing automated processes and creating real-time automation . With the skills you gain, you will be able to build more advanced visualizations and applications that are customized to your needs. Dashboards created with Plotly & Dash can help you make sense of complex data and uncover insights quickly.

The course contents include:

This course on Python Data Visualization is a comprehensive guide to creating stunning interactive dashboards with Plotly & Dash. It has 8.5 hours of on-demand video, three articles, two downloadable resources and full lifetime access to all the materials. With this course you can easily access the material on mobile or TV as well as get a certificate of completion once you are done with it.

Requirements

Anaconda and Jupyter Notebooks, which is a free and user-friendly environment for code development, will be utilized.

Knowledge of base Python and the Pandas library is advantageous, although not essential.

Description

Finally, we'll learn how to create multiple page apps in Dash, add authentication and user accounts, deploy our finished app on a web server, and monitor performance with built-in analytics.

By the end of this course you will have a comprehensive understanding of Plotly and Dash, as well as the confidence to start building your own interactive data visualizations and dashboards.

Discover how to create automated processes and explore more advanced topics, such as adding custom components for complex visualizations. With the power of Plotly & Dash, you can quickly build interactive web applications that can be shared with others or made available online. Take advantage of the cross-filtering capabilities for a better understanding of your data and learn how to use callbacks to control the data flow.

Once you have the fundamentals down, you'll be able to create more complex visualizations and applications with Plotly & Dash. Learn how to add custom components for complex visuals and develop automated processes. Create multi-page apps in Dash and add authentication and user accounts to your app. Deploy your finished app on a web server, monitor performance with built-in analytics and explore options for sharing your data with others.

By the end of this course, you will be able to create meaningful visualizations with Plotly & Dash and have the skills to develop custom applications that bring your data to life.

Using Python and the Dash library, you'll create interactive data visualizations and dashboards. From basic plotting to more advanced topics like data tables, conditional callbacks, and cross-filters, you will learn how to build a customized dashboard for Maveluxe’s customers. You'll also learn how to deploy your custom dashboard online with Heroku or Amazon Web Services (AWS).

At the end of this course, you will have a thorough understanding of how to use Plotly & Dash to create meaningful visuals and interactive applications. With your newfound knowledge, you will be able to build custom dashboards for any purpose, from simple data exploration to complex analytics. Furthermore, we'll cover how to add authentication and user accounts, deploy apps online and monitor performance with built-in analytics.

Conclusion & Final Thoughts Wrap up the course with a final project showcase and review of all the concepts and tools you’ve learned in this course.

Once you've mastered the basics of Plotly & Dash, you can take your development skills further by exploring more advanced topics. Discover how to use callbacks to control data flow and create automated processes. Create applications with multiple pages and learn how to add user authentication and accounts. Take advantage of built-in analytics to monitor performance and explore options for sharing data with others.

You 'll also have the knowledge to deploy your applications online with Heroku or Amazon Web Services. By the end of this course, you will have a thorough understanding of how to use Plotly & Dash to create meaningful visuals and interactive applications.

This course is intended for...

Analysts and Data Scientists who are looking to create interactive visuals, dashboards, or web apps have a variety of options available.

Data scientists who are looking to develop or improve their Python data visualization abilities.

Those who are interested in gaining knowledge on one of the most widely used open source programming languages may want to consider exploring it.

Students interested in developing skills with unique, hands-on projects and course demonstrations will find ample opportunities.