Web-based Front-End
Course Description
This course focuses on building interactive and visually appealing web interfaces for data science applications. Students will learn how to design, develop, and deploy front-end components that display data insights, analytics, and machine learning results in a user-friendly manner. The course covers core web technologies such as HTML, CSS, and JavaScript, along with modern libraries and frameworks used for data visualization and dashboards. Learners will gain hands-on experience integrating front-end interfaces with data sources and back-end services to present charts, graphs, and real-time analytics.
What You'll Learn
- Understand the role of front-end development in data science applications
- Build responsive web pages using HTML5 and CSS3
- Add interactivity and dynamic behavior with JavaScript
- Create interactive data visualizations using libraries like Chart.js, D3.js, or Plotly
- Apply UI/UX best practices for data-driven web applications
- Deploy and showcase data science projects as web applications
student Testimonial
“This course helped me understand how data science projects are actually presented in real-world applications. Learning front-end tools along with data visualization made my projects more interactive and professional.”
MAYANK SUTHAR
web-developer