Create interactive web dashboards using Plotly and Dash. Master advanced visualization, user interactivity.
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.
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
-
- Demystify Complex Data: Transform raw, intricate datasets into intuitive, visually compelling narratives for easy understanding by all stakeholders.
- Elevate Data Storytelling: Move beyond static reports to craft dynamic, engaging data experiences that drive deeper, more impactful insights.
- Become a Full-Stack Data Presenter: Gain comprehensive skills to analyze, build, style, and deploy professional, interactive web dashboards.
- Unlock Real-time Data Exploration: Construct dashboards reacting instantly to user inputs, enabling fluid, on-the-fly data investigation.
- Bridge Data Science & Web Dev: Seamlessly integrate analytical prowess with web frameworks, turning complex models into user-friendly tools.
- Master User-Centric Design: Design dashboards for intuitive interaction, ensuring insights are actionable and tailored to user needs.
- Future-Proof Your Skills: Acquire a highly sought-after, evolving skill set essential for effective interactive data presentation in modern analytics.
- Transform Data to Actionable Intelligence: Convert disparate data points into cohesive, interactive decision-making tools for meaningful conclusions.
- Build Custom Analytical Apps: Create bespoke web applications tailored to specific business requirements, surpassing generic BI tools.
- Gain Deployment Confidence: Master best practices for moving your interactive creations from local development to scalable production environments.
- Empower Self-Service Analytics: Provide users the power to filter, sort, and drill down, reducing analyst reliance and speeding insight generation.
- Deepen Python Ecosystem Knowledge: Enhance your understanding of Python’s capabilities within both web development and data science.
-
- PROS:
- High Demand Skill: Acquire a modern, highly sought-after capability across data science, analytics, and web development roles.
- Open-Source Advantage: Leverage Plotly and Dash, robust open-source libraries, for flexibility, no licensing costs, and strong community support.
- Direct Business Impact: Create tools informing strategic decisions, improving operational efficiency, and demonstrating clear ROI.
- Strong Portfolio Builder: Develop tangible, professional, interactive projects to showcase practical expertise to employers.
- CONS:
- Initial Learning Curve: Mastering Dash’s callback system and state management can be challenging for beginners in reactive web development.
English
language