Unlock Your Data Potential: Master Interactive Dashboards with Python and Plotly

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.

What you will 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.

Course Content:

• Sections: 10 sections
• Lectures: 38 lectures
• Duration: 2h 19m

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.

Who is it for?

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

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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