Python Data Visualization: Dashboards with Plotly & Dash

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Maven Analytics,Chris Bruehl

8:31:17

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1 - Getting Started

1 - Course Structure Outline.mp4

01:58

2 - READ ME Important Notes for New Students.html

3 - DOWNLOAD Course Resources.html

3 - Interactive-Dashboards-with-Plotly-Dash.pdf

3 - Interactive-Dashboards-with-Plotly-Dash.zip

4 - Introducing the Course Project.mp4

00:54

5 - Setting Expectations.mp4

01:47

6 - Jupyter Installation Launch.mp4

03:37

2 - Intro to Plotly Dash

7 - Why Interactive Visuals.mp4

06:03

8 - Installing Plotly Dash.mp4

06:25

9 - The Anatomy of a Dash Application.mp4

06:51

10 - The Worlds Simplest Dash App.mp4

09:29

11 - Dash Component Deep Dive.mp4

04:55

12 - Interactive Elements.mp4

07:59

13 - Callback Functions.mp4

08:19

14 - DEMO Callback Functions.mp4

05:20

15 - Options for Running Your Application.mp4

05:24

16 - ASSIGNMENT Simple Dash Application.mp4

02:38

17 - SOLUTION Simple Dash Application.mp4

04:31

18 - Plotly Visuals Dash Graph Components.mp4

09:54

19 - Tying Interactive Elements to Visuals.mp4

08:11

20 - ASSIGNMENT A More Realistic Dash App.mp4

02:30

21 - SOLUTION A More Realistic Dash App.mp4

06:43

22 - Key Takeaways.mp4

01:15

3 - Plotly Figures Charts

23 - Intro to Plotly Charts.mp4

06:06

24 - DEMO Plotly Graph Objects.mp4

07:38

25 - DEMO Plotly Express.mp4

09:30

26 - Basic Plotly Charts.mp4

02:50

27 - DEMO Scatterplots Line Charts.mp4

06:19

28 - ASSIGNMENT Line Charts.mp4

01:51

29 - SOLUTION Line Charts.mp4

05:02

30 - Plotting Multiple Series.mp4

03:50

31 - DEMO Bar Charts.mp4

05:21

32 - ASSIGNMENT Bar Charts.mp4

02:51

33 - SOLUTION Bar Charts.mp4

02:20

34 - Pro Tip Bubble Charts.mp4

03:01

35 - Pie Donut Charts.mp4

06:23

36 - ASSIGNMENT Donut Bubble Charts.mp4

02:06

37 - SOLUTION Donut Bubble Charts.mp4

05:16

38 - Histograms.mp4

04:37

39 - Update Methods.mp4

05:04

40 - DEMO Updating Layout Traces.mp4

07:51

41 - DEMO Updating X and Y Axes.mp4

05:47

42 - Adding Annotations.mp4

07:54

43 - ASSIGNMENT Chart Formatting.mp4

01:52

44 - SOLUTION Chart Formatting.mp4

03:05

45 - Choropleth Maps.mp4

05:36

46 - DEMO Choropleth Maps.mp4

07:01

47 - Mapbox Maps.mp4

05:23

48 - DEMO Density Maps.mp4

02:04

49 - ASSIGNMENT Maps.mp4

01:43

50 - SOLUTION Maps.mp4

01:43

51 - Key Takeaways.mp4

02:36

4 - Interactive Elements

52 - Intro to Interactive Elements.mp4

03:34

53 - Interactive Element Overview.mp4

04:01

54 - Dropdown Menus.mp4

05:17

55 - DEMO Dropdowns.mp4

06:35

56 - Checklists.mp4

03:36

57 - ASSIGNMENT Checklists.mp4

04:15

58 - SOLUTION Checklists.mp4

03:20

59 - Radio Buttons.mp4

04:00

60 - Sliders.mp4

06:08

61 - Range Sliders.mp4

04:28

62 - ASSIGNMENT Sliders.mp4

01:56

63 - SOLUTION Sliders.mp4

04:54

64 - Date Pickers.mp4

05:02

65 - DEMO Date Pickers.mp4

08:11

66 - Multiple Input Callbacks.mp4

06:32

67 - Multiple Output Callbacks.mp4

06:15

68 - ASSIGNMENT Multiple Interactive Elements.mp4

01:59

69 - SOLUTION Multiple Interactive Elements.mp4

04:09

70 - Key Takeaways.mp4

01:52

5 - MIDCOURSE PROJECT

71 - MidCourse Project Introduction.mp4

04:41

72 - MidCourse Project Solution.mp4

09:39

6 - Dashboard Layouts

73 - Intro to Dashboard Layouts.mp4

02:26

74 - Visual Elements Layout Options.mp4

04:40

75 - Revisiting Dash App Layouts.mp4

03:54

76 - HTML Markdown.mp4

07:17

77 - ASSIGNMENT HTML Markdown.mp4

02:15

78 - SOLUTION HTML Markdown.mp4

02:28

79 - HTML Styles.mp4

05:58

80 - Styling Interactive Elements.mp4

04:09

81 - Styling Plotly Figures.mp4

03:04

82 - ASSIGNMENT App Styling.mp4

01:52

83 - SOLUTION App Styling.mp4

01:48

84 - Dash Bootstrap Components.mp4

04:10

85 - Dash Bootstrap Themes.mp4

05:01

86 - DEMO Applying a Bootstrap Theme.mp4

04:27

87 - GridBased Layouts.mp4

06:44

88 - DEMO GridBased Layouts.mp4

05:54

89 - Multiple Tabs.mp4

03:47

90 - DEMO Multiple Tabs.mp4

03:48

91 - ASSIGNMENT Building a Layout.mp4

01:58

92 - SOLUTION Building a Layout.mp4

02:29

93 - Key Takeaways.mp4

02:09

7 - Advanced Topics

94 - Intro to Advanced Topics.mp4

01:01

95 - Dash Data Tables.mp4

04:17

96 - DEMO Data Tables.mp4

04:10

97 - ASSIGNMENT Data Tables.mp4

01:55

98 - SOLUTION Data Tables.mp4

01:26

99 - Conditional Callbacks.mp4

05:16

100 - Chained Callbacks.mp4

05:13

101 - Pro Tip Debug Mode.mp4

03:03

102 - Interactive CrossFiltering.mp4

05:07

103 - Manually Firing Callbacks.mp4

06:49

104 - Periodically Firing Callbacks.mp4

03:32

105 - DEMO RealTime Updates.mp4

08:47

106 - ASSIGNMENT Advanced Callbacks.mp4

02:25

107 - SOLUTION Advanced Callbacks.mp4

02:27

108 - App Deployment Options.mp4

03:26

109 - DEMO App Deployment.mp4

13:32

110 - Key Takeaways.mp4

02:33

8 - FINAL COURSE PROJECT

111 - Final Project Introduction.mp4

06:39

112 - Final Project Solution.mp4

11:34

9 - BONUS LESSON

113 - BONUS LESSON.html

Description

Create custom Python visuals, interactive dashboards and web apps using Plotly & Dash, with unique, real-world projects

What You'll Learn?

Master the essentials of Plotly & Dash for building interactive visuals, dashboards and web apps
Design and format Plotly visuals, including line charts, bar charts, scatter plots, histograms, maps and more
Learn how to add interactive elements like dropdown menus, checklists, sliders and date pickers
Apply HTML and markdown components to design custom dashboard layouts and themes
Practice building and deploying your own custom web applications with Dash
Explore advanced topics like conditional and chained callbacks, cross-filtering and real-time automation

Who is this for?

Analysts or Data Scientists who want to build interactive visuals, dashboards or web apps

Aspiring data scientists who want to build or strengthen their Python data visualization skills

Anyone interested in learning one of the most popular open source programming languages in the world

Students looking to learn powerful, practical skills with unique, hands-on projects and course demos

More details

Description
This is a hands-on, project-based course designed to help you master Plotly and Dash, two of Python's most popular packages for creating interactive visuals, dashboards and web applications.

We'll start by introducing the core components of a Dash application, review basic front-end and back-end elements, and demonstrate how to tie everything together to create a simple, interactive web app.

From there we'll explore a variety of Plotly visuals including line charts, scatterplots, histograms and maps. We'll apply basic formatting options like layouts and axis labels, add context to our visuals using annotations and reference lines, then bring our data to life with interactive elements like dropdown menus, checklists, sliders, date pickers, and more.

Last but not least we'll use Dash to build and customize a web-based dashboard, using tools like markdown, HTML components & styles, themes, grids, tabs, and more. We'll also introduce some advanced topics like data tables, conditional and chained callbacks, cross-filters, and app deployment options.

Throughout the course you'll play the role of a Data Analyst for Maveluxe Travel, a high-end agency that helps customers find flights and resorts based on their travel preferences. Your task? Use Python to create interactive visuals and dashboards to help Maveluxe's travel agents best support their customers.

COURSEÂ OUTLINE:

Intro to Plotly &Â Dash
Introduce the Plotly & Dash libraries, and cover the key steps and components for creating a basic Dash application with interactive Plotly visuals

Plotly Figures &Â Chart Types
Dive into the Plotly library and use it to build and customize several chart types, including line charts, bar charts, pie charts, scatterplots, maps and histograms

Interactive Elements
Get comfortable embedding Dashâ€™s interactive elements into your application, and using them to manipulate Plotly Visualizations

MID-COURSEÂ PROJECT
Build two working Dash applications to help the Maveluxe team visualize and explore data from ski resorts across the USÂ and Canada

Dashboard Layouts
Learn how to organize your visualizations and interactive components into a visually appealing and logical structure

Advanced Functionality
Take your applications to the next level by learning how to update your application with real-time data, develop chained-callback functions, and more!

FINALÂ PROJECT
Build a multi-tab dashboard to expand your mid-course project to ski resorts around the world, leveraging grid layouts, interactive elements and visuals, and advanced callback functions

Join todayÂ and get immediate, lifetime accessÂ to the following:

8.5 hours of high-quality video
Plotly &Â Dash PDF ebook (180+Â pages)
Downloadable project files &Â solutions
Expert support and Q&AÂ forum
30-day Udemy satisfaction guarantee

If you're a data scientist, analyst or business intelligence professional looking to add Plotly & Dash to your Python skill set, this is the course for you!

Happy learning!
-Chris Bruehl (Python Expert &Â Lead Python Instructor, Maven Analytics)
Who this course is for:
Analysts or Data Scientists who want to build interactive visuals, dashboards or web apps
Aspiring data scientists who want to build or strengthen their Python data visualization skills
Anyone interested in learning one of the most popular open source programming languages in the world
Students looking to learn powerful, practical skills with unique, hands-on projects and course demos

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Maven Analytics helps individuals and teams build expert-level analytics & business intelligence skills. We've helped more than 1,000,000 students around the world build job-ready skills, master sought-after tools like Excel, SQL, Power BI, Tableau & Python, and build the foundation for a successful career in data. At Maven Analytics, we empower everyday people to change the world with data.

Chris Bruehl

Instructor's Courses

Chris is a seasoned data scientist, having held Data Science roles in the financial services industry. He was first trained on SAS before falling in love with Python and making it his tool of choice. Chris transitioned from applying data science in the field, to teaching at a top tier data science bootcamp. He is passionate about teaching and is able to break down complex concepts into bite size lessons. He holds a Masters Degree in Analytics from NCSU.

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