Interactive python dashboards | Plotly Dash 2022| 3 Projects

Interactive python dashboards | Plotly Dash 2022| 3 Projects, available at $59.99, has an average rating of 4.35, with 49 lectures, 5 quizzes, based on 173 reviews, and has 1005 subscribers.

You will learn about Create interactive python dashboards using Dash plotly Mobile responsive layouts for the dashboards Create interative graphs that are clickable Create World/Country maps visualisations using plotly Create different plots such as Bar, Bubble, scatter etc using plotly Create navigation bar for the dashboards How to show datacards in your plotly apps How to create various clickable widgets such as dropdowns, sliders, checkboxes using Dash Visualisations using python Host your dash plotly dashboard on Heroku for free This course is ideal for individuals who are Beginner Python programmers who want to present their analysis in an interactive web based dashboard. or Data Scientists who are familiar with python and want to convert their machine learning solutions into interactive web based applications It is particularly useful for Beginner Python programmers who want to present their analysis in an interactive web based dashboard. or Data Scientists who are familiar with python and want to convert their machine learning solutions into interactive web based applications.

Enroll now: Interactive python dashboards | Plotly Dash 2022| 3 Projects

Summary

Title: Interactive python dashboards | Plotly Dash 2022| 3 Projects

Price: $59.99

Average Rating: 4.35

Number of Lectures: 49

Number of Quizzes: 5

Number of Published Lectures: 48

Number of Published Quizzes: 5

Number of Curriculum Items: 54

Number of Published Curriculum Objects: 53

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Create interactive python dashboards using Dash plotly
Mobile responsive layouts for the dashboards
Create interative graphs that are clickable
Create World/Country maps visualisations using plotly
Create different plots such as Bar, Bubble, scatter etc using plotly
Create navigation bar for the dashboards
How to show datacards in your plotly apps
How to create various clickable widgets such as dropdowns, sliders, checkboxes using Dash
Visualisations using python
Host your dash plotly dashboard on Heroku for free

Who Should Attend

Beginner Python programmers who want to present their analysis in an interactive web based dashboard.
Data Scientists who are familiar with python and want to convert their machine learning solutions into interactive web based applications

Target Audiences

Beginner Python programmers who want to present their analysis in an interactive web based dashboard.
Data Scientists who are familiar with python and want to convert their machine learning solutions into interactive web based applications

Welcome to the course on dash plotly !

In this course where i will teach you how to create interactive mobile responsive dashboards using Plotly’s dash library. You will be able to create dashboards that will be mobile/ screen responsive. The way the dashboard looks will depend on the size of the screen on which a user is viewing.

Data visualisation is very critical for generating and communicating easy to understand finding and insights. Either you are a Data Analyst who wants to create a dashboard/present your analysis or you are a Data Scientist who wants to create a UI for your machine learning models, plotly dash can be a boon for both.

Using the plotly dash, you can create interactive mobile responsive dashboards using python without knowing HTML, CSS and Javascript. Creating plotly dash dashboards is so simple and easy that you can create your dashboards within a day or two.

In this course, i will take you through each and every concept required to create a interactive mobile friendly app in plotly dash and then we will combine all of our learnings in the final project section where we will create a covid 19 world tracker.

Looking forwards to meet you in the lectures !

Cheers,

Anmol Tomar

Preview image designed by freepik

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Overview

Lecture 2: Installation Overview

Lecture 3: Installing packages in Spyder

Chapter 2: Python Basics (Optional)

Lecture 1: Numpy Basics

Lecture 2: Pandas Basics Part 1

Lecture 3: Pandas Basics Part 2

Lecture 4: Loops in Pandas

Lecture 5: Range Function

Chapter 3: Plotly charts

Lecture 1: Bar Chart

Lecture 2: Line Chart

Lecture 3: Scatter Plot

Lecture 4: Bubble Chart

Lecture 5: Maps

Chapter 4: Dash Layouts

Lecture 1: Intro to Dash

Lecture 2: Layouts using html components

Lecture 3: Layouts using bootstrap components

Lecture 4: Navigation Bars

Lecture 5: Data Cards

Chapter 5: Dash Components

Lecture 1: Dash html components

Lecture 2: Dash core components

Lecture 3: Dash Table

Chapter 6: Callbacks in Dash

Lecture 1: Basic Callback

Lecture 2: Callback using Buttons

Lecture 3: Multiple Input and Output

Lecture 4: Callback with States

Lecture 5: Chained Callbacks

Chapter 7: Project 1 : Interactive mobile responsive Covid Dashboard

Lecture 1: Intro to the Project

Lecture 2: Creating Navbar

Lecture 3: Reading API and creating Data Card

Lecture 4: World Globe

Lecture 5: Dash Table with dropdown

Chapter 8: Deploying the Dashboad

Lecture 1: Deployment on Heroku

Chapter 9: Project 2 : Retail Sales Dashboard

Lecture 1: Introduction

Lecture 2: Input Data Creation Part 1

Lecture 3: Input Data Creation Part 2

Lecture 4: Navigation Bar

Lecture 5: Monthly Sales Part 1

Lecture 6: Monthly Sales Part 2

Lecture 7: Holiday Sales

Lecture 8: Total Stores

Lecture 9: Weekly Sales Comparison

Lecture 10: Top Stores Comparison Part 1

Lecture 11: Top Stores Comparison Part 2

Lecture 12: Top Departments Comparison

Chapter 10: Project 3 : NLP Question-Answering dashboard

Lecture 1: Introduction

Lecture 2: Package installation and Navbar creation

Lecture 3: Textarea, button and loading element

Lecture 4: Answer generation

Instructors

Anmol Tomar
Senior Data Scientist and Instructor

Rating Distribution

1 stars: 3 votes
2 stars: 3 votes
3 stars: 19 votes
4 stars: 56 votes
5 stars: 92 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!

Menu