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2020-12-19 21:06:36
30-Day Money-Back Guarantee

This course includes:

  • 2.5 hours on-demand video
  • 1 article
  • 19 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Development Data Science

Python Interactive Dashboards with Plotly Dash

Learn to create interactive Python dashboards (data visualizations) using plotly Dash, with real-world example datasets
New
Rating: 4.7 out of 54.7 (17 ratings)
110 students
Created by Lianne and Justin (Just into Data)
Last updated 12/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • How to set up the layout of dashboards with Dash components
  • How to create a dashboard with data visualizations
  • How to make the dashboards interactive
  • How to customize the appearance of the dashboard
  • Create a dashboard using real-world datasets
  • Make more dynamic dashboards with chained interactive features
  • Create interactive graphs that are clickable
  • Create data tables in dashboards
  • Create a grid layout in dashboards
  • Use Plotly to create plots including line charts, choropleth maps

Course content

7 sections • 19 lectures • 2h 40m total length

  • Preview03:20
  • (Optional) Pandas Tutorial
    00:19

  • Preview04:26
  • Creating your first dashboard
    06:39

  • HTML components overview
    10:14
  • Core components overview
    12:24

  • Building callbacks with single Input & Output
    13:47
  • Creating interactive Plotly figures
    10:02
  • Building callbacks with multiple Inputs & Outputs
    14:50
  • Chaining callbacks' Inputs and Outputs
    13:14

  • Customizing with inline CSS
    12:50
  • Customizing with external CSS
    05:30
  • Creating a grid layout
    08:43

  • Preview09:31
  • Setting up the layout: Choropleth map
    09:15
  • Setting up the layout: DataTable
    05:29
  • Adding callbacks: update the map
    06:48
  • Adding callbacks: update the DataTable
    12:44

  • Bonus lecture
    00:34

Requirements

  • Basic Python ONLY

Description

Welcome to your plotly Dash course!

So you've got some hard analysis done, how can you nicely present them too?

Dash and Plotly in Python can help! They empower you to visualize your critical insights and KPIs in web apps that are easily sharable.

Following this course, you'll learn to build dashboards from scratch, by customizing their look and adding interactive features, with all free Python libraries.

Throughout the course, you'll be using three real-world datasets to create dashboards. They will make your learning experience more practical. So that you can easily apply the skills to build your own dashboards after taking this course.

Data visualization is critical for data science. Don't miss the opportunity to learn this new skill of creating dashboards with Python! This course includes instructional videos that walk you through the process step-by-step. You can learn at your own pace, and download the Python scripts to use for your own projects.

Besides Dash, you'll also get a chance to use other key data science libraries, including pandas and plotly. It's ok if you haven't used them before. We'll breakdown and explain the process within the course. So that you can still follow along!

Cheers,

Lianne and Justin


Preview image designed by freepik

Who this course is for:

  • Any Python programmers who want to present their analyses in interactive web-based dashboards

Instructor

Lianne and Justin (Just into Data)
Data Scientists
Lianne and Justin (Just into Data)
  • 4.7 Instructor Rating
  • 17 Reviews
  • 110 Students
  • 1 Course

Justin: an experienced data scientist in many different fields, such as marketing, anti-money laundering, and big data technologies. He also has a bachelor’s degree in computer engineering and a master’s degree in statistics.

Lianne: an experienced statistician who has worked in the central bank as well as commercial banks, where she monitored major financial institutions and conducted fraud analysis. She has both a bachelor’s and a master’s degree in statistics.

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