Interactive Python Dashboards with Plotly and Dash

Unlock the power of interactive data visualization with Python dashboards! This comprehensive course guides you through creating dynamic and customizable dashboards using Plotly's Dash library.

Ready to elevate your Python data visualization skills? Learn to build fully interactive dashboards with the open-source power of Plotly and Dash. This self-paced Dash bootcamp offers a cost-effective alternative to expensive Plotly training, providing access to example code, explanatory videos, student support, Q&A forums, and interactive exercises.

We start with a quick Numpy and Pandas crash course to ensure you're comfortable generating data. Then, dive into basic data visualization with Plotly, mastering a wide range of chart types including:

• Scatter plots
• Line charts
• Bar charts
• Bubble charts
• Box plots
• Histograms
• Distribution plots
• Heat maps

Understand when to effectively use each plot type for insightful data representation. Each section includes practical exercise tasks to solidify your newfound skills – a unique feature not found in other Plotly Dash training.

The core of the course focuses on using the Dash library to bring your Plotly plots to life. You'll learn to:

• Create dashboard layouts
• Implement interactive callbacks
• Handle multiple inputs and outputs
• Develop interactive components

Finally, discover how to build live updating dashboards that automatically refresh in real-time. We'll even show you how to deploy your dashboards live to the web using Heroku.

By mastering this course, you'll gain expertise in cutting-edge data visualization technology with Python, a valuable skill to showcase to colleagues and potential employers. Upon completion, receive a certification for your LinkedIn profile and a portfolio of impressive dashboard projects.

Enroll today with our 30-day money-back guarantee and start building stunning Python dashboards!