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Python Data Visualization: Dashboards with Plotly & Dash

Learn Python data visualization with Plotly & Dash! Build interactive dashboards & web apps. Expert instruction for data science & analytics.

4.7(655)
6,699students
8h 30m
Certificate
Maven Analytics • 1,500,000 Learners
Maven Analytics • 1,500,000 LearnersEmpowering everyday people with life-changing data skills

Course Content

Python Data Visualization: Dashboards with Plotly & Dash is an all-levels Udemy course taught by Maven Analytics • 1,500,000 Learners. It runs 8h 30m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 655 reviews, with 6,699 students enrolled. It is a paid course, last updated June 2025.

Master Plotly and Dash for Interactive Data Visualization & Web Applications with Python

This hands-on course empowers you to create stunning, interactive data visualizations, powerful dashboards, and dynamic web applications using Python's leading libraries, Plotly and Dash. Perfect for data analysts, data scientists, and business intelligence professionals looking to enhance their Python skillset.

We'll guide you from the fundamentals to advanced techniques, all while working through a practical project as a Data Analyst for Maveluxe Travel, a high-end travel agency. Your mission: leverage Python to build insightful visuals and dashboards that empower Maveluxe's travel agents to better serve their customers.

What You'll Learn:

  • Introduction to Plotly & Dash: Get started with the core components of Dash applications and learn how to integrate interactive Plotly visuals.
  • Plotly Figures & Chart Types: Explore a wide range of Plotly chart types, including:
    • Line Charts: Visualize trends over time.
    • Bar Charts: Compare categorical data.
    • Pie Charts: Display proportions.
    • Scatterplots: Identify relationships between variables.
    • Maps: Create interactive geographical visualizations.
    • Histograms: Analyze data distribution.
  • Interactive Elements: Add dynamic functionality to your applications with Dash's interactive elements:
    • Dropdown Menus: Enable easy selection of options.
    • Checklists: Allow users to select multiple values.
    • Sliders: Provide continuous value input.
    • Date Pickers: Facilitate date-based filtering.
  • Mid-Course Project: Build two functional Dash applications to analyze data from ski resorts across the US and Canada.
  • Dashboard Layouts: Design visually appealing and logical dashboard structures using:
    • Markdown & HTML Components: Enhance content and styling.
    • Themes: Apply consistent visual styles.
    • Grids: Organize elements effectively.
    • Tabs: Create multi-page dashboards.
  • Advanced Functionality: Elevate your applications with:
    • Real-time Data Updates: Display live data feeds.
    • Chained Callbacks: Create complex interactive workflows.
    • Cross-Filters: Enable filtering across multiple visualizations.
    • App Deployment: Share your dashboards with others.
  • Final Project: Develop a comprehensive, multi-tab dashboard for ski resorts worldwide, incorporating grid layouts, interactive elements, advanced callbacks, and insightful visuals.

Course Outline:

  • Intro to Plotly & Dash
  • Plotly Figures & Chart Types
  • Interactive Elements
  • Mid-Course Project
  • Dashboard Layouts
  • Advanced Functionality
  • Final Project

What's Included:

  • 8.5 hours of high-quality video instruction.
  • Python Plotly & Dash PDF ebook (180+ pages).
  • Downloadable project files & solutions.
  • Expert support & Q&A forum.
  • 30-day Udemy satisfaction guarantee.

Ready to unlock the power of interactive data visualization? Join today!

Looking for more? Explore our full business intelligence course library by searching for "Maven Analytics." We offer courses on Excel, Power BI, MySQL, Tableau, and Machine Learning.

Why Choose Maven Analytics?

"Some of the BEST courses I've ever taken..." - Russ C.
"Maven Analytics should become the new standard for all courses taught on Udemy!" - Jonah M.

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