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Courses>Data Science>Create Interactive Dashboards in Python by Plotly Dash
DevelopmentCreate Interactive Dashboards in Python by Plotly Dash
Price:Paid
Length:15 hours
Content type:video
level:intermediate
Updated:04 March 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>Create Interactive Dashboards in Python by Plotly Dash
Create Interactive Dashboards in Python by Plotly Dash
4.4 (1.5k)
15 hours
1480 students
What you will learn
1Learn how to create plotly charts in dash e.g. line, bar, pie, donut, bubble and scattermapbox map charts, data tables and others.
2Use of indicators in dash.
3Connect multiple inputs with multiple outputs in dash app or dashboard.
4Create responsive dashboard layout with css.
5Get numeric values on cards and change dynamically with input components.
6Create dynamic map charts.
7Create data frames for plotly charts in dash using pandas.
8Working with real time data in dash
9Customs KPIs in dash
10Create interactive dash apps in CSS flexbox
11Use of font awesome in dash
12Html table in dash
13Deploy dash app
Target audiences
1Anyone who wants to create interactive web based data visualizations dashboards.
Requirements
1Basic knowledge of python, pandas and CSS.
2Install Anaconda and create python environment in PyCharm or any other text editor.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

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.

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Make the most out of your online education
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Careertail
Courses>Data Science>Create Interactive Dashboards in Python by Plotly Dash
DevelopmentCreate Interactive Dashboards in Python by Plotly Dash
Price:Paid
Length:15 hours
Content type:video
level:intermediate
Updated:04 March 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>Create Interactive Dashboards in Python by Plotly Dash
Create Interactive Dashboards in Python by Plotly Dash
4.4 (1.5k)
15 hours
1480 students
What you will learn
1Learn how to create plotly charts in dash e.g. line, bar, pie, donut, bubble and scattermapbox map charts, data tables and others.
2Use of indicators in dash.
3Connect multiple inputs with multiple outputs in dash app or dashboard.
4Create responsive dashboard layout with css.
5Get numeric values on cards and change dynamically with input components.
6Create dynamic map charts.
7Create data frames for plotly charts in dash using pandas.
8Working with real time data in dash
9Customs KPIs in dash
10Create interactive dash apps in CSS flexbox
11Use of font awesome in dash
12Html table in dash
13Deploy dash app
Target audiences
1Anyone who wants to create interactive web based data visualizations dashboards.
Requirements
1Basic knowledge of python, pandas and CSS.
2Install Anaconda and create python environment in PyCharm or any other text editor.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

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.

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot