Python Interactive Dashboards with Plotly Dash

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Just Into Data

4:21:58

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01.01-introduction.mp4

02:21

01.02-course overview.mp4

03:22

02.01-setting up python environment.mp4

07:20

02.02-overview of data types numeric define variables.mp4

08:21

02.03-strings common functions and methods.mp4

14:32

02.04-lists tuples sets dictionaries booleans.mp4

13:58

02.05-if statements loops.mp4

19:13

02.06-define functions use packages.mp4

15:13

03.01-what is dash.mp4

04:28

03.02-creating your first dashboard.mp4

06:41

04.01-html components overview.mp4

10:15

04.02-core components overview.mp4

12:26

05.01-building callbacks with single input and output.mp4

13:47

05.02-creating interactive plotly figures.mp4

10:02

05.03-building callbacks with multiple inputs and outputs.mp4

14:51

05.04-chaining callbacks inputs and outputs.mp4

13:06

05.05-controlling callbacks with states (button).mp4

07:21

06.01-customizing with inline css.mp4

12:50

06.02-customizing with external css.mp4

05:31

06.03-creating a grid layout.mp4

08:36

06.04-building a navigation bar.mp4

05:54

06.05-building a deck of cards.mp4

07:28

07.01-setting up the layout rangeslider.mp4

09:33

07.02-setting up the layout choropleth map.mp4

09:16

07.03-setting up the layout datatable.mp4

05:30

07.04-adding callbacks update the map.mp4

06:48

07.05-adding callbacks update the datatable.mp4

12:46

08.01-conclusion.mp4

00:29

9781803234267 Code.zip

Description

Data visualization is a critical part of data science, in this quick and practical course you will learn how to create a great-looking interactive dashboard with Dash and Python. With this new skill, you will be able to present and share your analysis better with your customers’ executives and the rest of your team.

This course is broken down into 5 parts and it is necessary to follow the structure as each part is built on top of the other. The first part is an introduction to Plotly Dash followed by building the layout of dashboards. The third part is how to make dashboards interactive with callbacks, fourth part introduces us to customize the look of dashboards. The last and final part is a business-centric project case study on creating an interactive map dashboard.

Throughout the course, you will be using 3 real-world datasets, which are the World Happiness dataset, FIFA Soccer dataset, and US electricity prices to help you learn Dash more.

By the end of the course, you will learn to build dashboards from scratch, by customizing their look and adding interactive features, with all free Python libraries.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-Interactive-Dashboards-with-Plotly-Dash

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Python

Data Visualization

Just Into Data

Instructor's Courses

Just Into Data is the brainchild of Justin and Lianne. Justin is 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 is 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.

PacktPub

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Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.