Interactive Python Dashboards with Plotly and Dash

Interactive Python Dashboards with Plotly and Dash, available at $129.99, has an average rating of 4.59, with 71 lectures, based on 8825 reviews, and has 48822 subscribers.

You will learn about Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more! Create Layouts with Plotly's Dash library. Use Dash to create interactive components with Plotly. Learn how to connect multiple inputs and outputs with a dashboard. Update live interactive graphs with clicks, hover overs, and more. Connect the interactive dashboard to live updating data for streaming information. Learn how to secure your interactive dashboards with App Authorization. Deploy your interactive dashboards to the internet with services like Heroku. This course is ideal for individuals who are Python developers who are interested in learning how to create interactive dashboards and visualizations It is particularly useful for Python developers who are interested in learning how to create interactive dashboards and visualizations.

Enroll now: Interactive Python Dashboards with Plotly and Dash

Summary

Title: Interactive Python Dashboards with Plotly and Dash

Price: $129.99

Average Rating: 4.59

Number of Lectures: 71

Number of Published Lectures: 69

Number of Curriculum Items: 71

Number of Published Curriculum Objects: 69

Original Price: $189.99

Quality Status: approved

Status: Live

What You Will Learn

Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more!
Create Layouts with Plotly's Dash library.
Use Dash to create interactive components with Plotly.
Learn how to connect multiple inputs and outputs with a dashboard.
Update live interactive graphs with clicks, hover overs, and more.
Connect the interactive dashboard to live updating data for streaming information.
Learn how to secure your interactive dashboards with App Authorization.
Deploy your interactive dashboards to the internet with services like Heroku.

Who Should Attend

Python developers who are interested in learning how to create interactive dashboards and visualizations

Target Audiences

Python developers who are interested in learning how to create interactive dashboards and visualizations

Welcome to Python Visualization Dashboards with Plotly’s Dash Library!

This course will teach your everything you need to know to use Python to create interactive dashboard’s with Plotly’s new Dash library! Have you ever wanted to take your Python skills to the next level in data visualization? With this course you will be able to create fully customization, interactive dashboards with the open source libraries of Plotly and Dash.

Dash instructional courses from Plotly usually cost more than $1000, but now you can get the bootcamp experience for a fraction of that price in this self-paced course that includes example code, explanatory videos, student support in our chat channels, Question and Answer Forums, and interactive exercises.

We’ll start off by teaching you enough Numpy and Pandas that you feel comfortable working and generating data in our quick crash course. Then we’ll continue by teaching you about basic data visualization with Plotly, including scatter plots, line charts, bar charts, bubble charts, box plots, histograms, distribution plots, heat maps, and more! We’ll also give you an intuition of when to use each plot type.

After this and at the end of each section you’ll be given exercise tasks to test and evaluate your new skills, a feature no other Plotly Dash training offers!

Once you have a grasp on Plotly basics we’ll move on to the bulk of the course which is utilizing the Dash library to leverage the power of plotly plots to create interactive dashboards. We’ll discuss how to create layouts for dashboards, how to have interactive callbacks, dealing with multiple inputs and outputs, creating interactive components, and more!

We’ll finish off the course by going over live updating dashboards that automatically update in real time and even show you how you can deploy your dashboardslive to the web with the Heroku service.

By taking this course you will be learning the bleeding edge of data visualization technology with Python and gain a valuable new skill to show your colleagues or potential employers. After completing the course you will have a certification you can post to your LinkedIn profileand a portfolio of dashboard projectsyou can share as well.

All of this comes with a 30 day money back guarantee, so what are you waiting for? Enroll today and we’ll see you inside the course!

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Overview

Lecture 2: Course FAQ

Lecture 3: Overview of Notes and Guidebook

Lecture 4: Installation Overview

Chapter 2: Introduction to Data Basics

Lecture 1: Plotly and Dash Overview

Lecture 2: NumPy Crash Course

Lecture 3: Pandas Crash Course

Lecture 4: Exercise: NumPy/Pandas Practice

Lecture 5: NumPy/Pandas Practice Exercise Solution

Chapter 3: Plotly Basics

Lecture 1: Plotly Basics Overview

Lecture 2: Scatter Plots

Lecture 3: Line Charts

Lecture 4: Line Charts Part Two

Lecture 5: Line Charts Exercise

Lecture 6: Line Charts Exercise – Solution Code Along

Lecture 7: Bar Charts

Lecture 8: Bar Charts Exercise

Lecture 9: Bar Charts Exercise – Solution

Lecture 10: Bubble Plots

Lecture 11: Bubble Charts Exercise

Lecture 12: Bubble Charts Exercise Solution

Lecture 13: Box Plots

Lecture 14: Box Plots Exercise

Lecture 15: Box Plots Exercise Solution

Lecture 16: Histograms

Lecture 17: Histograms Exercise

Lecture 18: Histograms Exercise Solution

Lecture 19: Distplots

Lecture 20: DistPlots Exercise

Lecture 21: DistPlots Exercise Solution

Lecture 22: Heatmaps

Lecture 23: Heatmaps Exercise

Lecture 24: Heatmaps Exercise Solution

Chapter 4: Dash Basics – Layout

Lecture 1: Introduction to Dash Basics

Lecture 2: Dash Layouts – Part One

Lecture 3: Dash Layouts – Part Two – Styling

Lecture 4: Converting Simple Plotly Plot to Dashboard with Dash

Chapter 5: DashBoard Exercise

Lecture 1: Exercise: Create a Simple Dashboard

Lecture 2: Simple Dashboard Exercise Solution

Chapter 6: DashBoard Components

Lecture 1: Dash Components

Lecture 2: HTML Components

Lecture 3: Core Components

Lecture 4: Markdown with Dash

Lecture 5: Using Help() with Dash

Chapter 7: Interactive Components

Lecture 1: Single Callbacks for Interactivity

Lecture 2: Dash Callbacks for Graphs

Lecture 3: Multiple Inputs

Lecture 4: Multiple Outputs

Lecture 5: Exercise: Interactive Components

Lecture 6: Interactive Components Exercise Solution

Chapter 8: Callbacks with State

Lecture 1: Controlling Callbacks with Dash State

Chapter 9: Interacting with Visualizations

Lecture 1: Hover Over Data

Lecture 2: Click Data

Lecture 3: Selection Data

Lecture 4: Updating Graphs on Interactions

Lecture 5: Updating Graphs on Interactions Part 2

Lecture 6: Updating Graphs on Interactions – Part Three

Chapter 10: Code Along Milestone Project

Lecture 1: Code Along Milestone Project Overview

Lecture 2: Milestone Project Part One – Imports and Graph Setup

Lecture 3: Milestone Project Part Two – Input Box and Basic Callback

Lecture 4: Milestone Project Part Three – Reading Data with Pandas Datareader

Lecture 5: Milestone Project Part Four – Adding DatePickers for Choosing Dates

Lecture 6: Milestone Project Part Five – Adding in Dash State

Lecture 7: Milestone Project Part Six – Multiple Stock Option Dropdown

Chapter 11: Live Updating

Lecture 1: Layout Updating

Lecture 2: Simple Live Update Example

Chapter 12: Deployment

Lecture 1: App Authorization

Lecture 2: Deploying App to Heroku

Chapter 13: BONUS SECTION: THANK YOU!

Lecture 1: BONUS LECTURE

Instructors

Jose Portilla
Head of Data Science at Pierian Training
Pierian Training
Data Science and Machine Learning Training

Rating Distribution

1 stars: 53 votes
2 stars: 60 votes
3 stars: 476 votes
4 stars: 2855 votes
5 stars: 5381 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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!

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