Interactive Dashboards With Python: Plotly & Dash Masterclas

Create interactive web dashboards using Plotly and Dash. Master advanced visualization, user interactivity.

What you'll learn

Build interactive dashboards using Plotly and Dash from scratch.

Create advanced charts like 3D graphs, geo charts, and maps.

Integrate data from APIs and databases into dashboards.

Implement dynamic layouts and state management.

Add interactive elements like forms, filters, and notifications.

Apply best practices for performance optimization.

Use Bootstrap for custom themes and responsive design.

Deploy dashboards locally and in production environments.

Build real-world projects with data, such as a Titanic dashboard.

Requirements

Basic understanding of Python programming.

Familiarity with HTML/CSS is helpful but not required.

Basic knowledge of data analysis concepts using libraries like Pandas.

A computer with Python 3.x installed.

An internet connection for downloading required libraries and tools.

Some experience with data visualization tools is a plus.

No prior knowledge of Plotly or Dash required – all concepts will be explained from scratch

Description

Unlock the power of  interactive dashboards with Python in this comprehensive course on Plotly and Dash. Whether you're a data scientist, analyst, or developer, this course equips you with the essential tools to create visually stunning, interactive dashboards. You’ll learn to transform static data into engaging visual stories that drive impactful decisions and enhance business insights. This hands-on course covers everything from setting up Plotly and Dash environments to designing and deploying dashboards. In the early modules, you’ll explore basic Plotly charts and get familiar with Dash’s layout structure. Moving into advanced topics, you'll dive into interactive elements, such as responsive data tables, form handling, real-time filtering, and advanced chart types.You'll also master working with 3D charts, maps, and multi-page apps, along with incorporating databases and APIs to enhance your dashboards. Key lessons include performance optimization, state management, and techniques for improving the user experience with custom themes, notifications, animations, and accessibility.By the end, you’ll apply everything you’ve learned through a real-world project, creating a feature-rich dashboard using the Titanic dataset. This course is perfect for anyone looking to deploy production-ready dashboards and sharpen their data visualization skills with Python.We'll be delighted to know that this course will be of benefit to you.

Overview

Section 1: Introduction to Plotly and Dash

Lecture 1 What is Plotly?

Lecture 2 What is Dash?

Lecture 3 Setting Up Your Development Environment

Lecture 4 Basic Plotly Charts

Section 2: Creating Basic Dashboards

Lecture 5 Dash Layout Basics

Lecture 6 Adding Interactivity

Lecture 7 Styling Dashboards

Lecture 8 Deploying Dashboards Locally

Section 3: Advanced Plotly Visualizations

Lecture 9 Advanced Chart Types

Lecture 10 Interactive Visualizations

Lecture 11 3D and Geo Charts

Lecture 12 Customizing Plots

Section 4: Advanced Dash Components

Lecture 13 Core Components

Lecture 14 Graph and DataTable Components

Lecture 15 Tabs and Multi-page Apps

Lecture 16 File Upload and Download

Section 5: Data Integration and Management

Lecture 17 Reading Data

Lecture 18 Using Pandas for Data Processing

Lecture 19 Connecting to Databases

Lecture 20 Using APIs

Section 6: Enhancing User Experience

Lecture 21 Form Handling

Lecture 22 Notifications and Alerts

Lecture 23 Interactive Data Filtering

Lecture 24 Basic User Authentication

Section 7: Advanced Techniques

Lecture 25 Advanced Techniques

Lecture 26 Dynamic Layouts

Lecture 27 Performance Optimization

Lecture 28 Error Handling

Section 8: Visual Design and User Interface

Lecture 29 Using Dash Bootstrap

Lecture 30 Custom Themes

Lecture 31 Animating Dashboards

Lecture 32 Ensuring Accessibility

Section 9: Real-World Applications

Lecture 33 Financial Dashboards

Lecture 34 Health Dashboards

Lecture 35 Sales Dashboards

Lecture 36 Operational Dashboards

Section 10: Project

Lecture 37 Project

Data Analysts and Data Scientists,Developers and Programmers,Business Analysts,Students and Learners,Entrepreneurs and Startups,Professionals in Finance, Healthcare, or Sales