In this course, you will learn how to create interactive web based dashboards in python using the plotly data visualizations library and dash library. Now it is easy to create data analytics web dashboards using dash library. We can create dashboards like business intelligence and we can upload these dashboards on live servers. Dash apps or dashboards are easily viewable on all devices as well as on mobile devices. I have used many useful dash input and output components to create interactive dashboards. Input components help us to get specific data from the dataset. Using chained callback, we can create dependent input components.

You will learn in this course the use of following dash input components.

• Drop down list (Dependent drop down list)

• Range slider

• Slider

• Radio items

• Interval

You will learn in this course many chart types.

• Bar chart

• Line cart

• Pie chart

• Donut chart

• Bubble chart

• Indicators

• Scatter map box map chart

• Dash data table

• Html table in dash

You will learn in this course how to create an interactive layout for the dashboard using CSS style sheets. We can create attractive web dashboards using a dash library with CSS properties. We can create columns and rows in dash app or dashboard as well as in html page and design the dashboard layout as android app. After watching video lessons, you will be able to create your own dashboards using dash library.

Note:- I have created extra 34 python dashboards in plotly dash and added in section four as for assignments. You can download these dashboards and re-create these yourselves. This will help you to get deep knowledge about the plotly data visualizations library and dash library.