Interactive Dashboards With Python Plotly & Dash Masterclas

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Free Download Interactive Dashboards With Python Plotly & Dash Masterclas
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.30 GB | Duration: 2h 19m
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

Homepage:

https://www.udemy.com/course/interactive-dashboards-with-python-plotly-dash-masterclass/

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