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Packt

Python Interactive Dashboards with Plotly Dash

via Coursera

Overview

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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

Unlock the power of data visualization with Python and Plotly Dash. This course walks you through building fully interactive, production-ready dashboards that bring your data to life. You’ll gain hands-on experience crafting visual analytics, using real-world datasets, and customizing your dashboards to suit your needs.

Starting with a Python refresher, you’ll set up your environment and revisit essential programming concepts. Then, you’ll dive into Plotly Dash, learning to create layouts, integrate HTML and core components, and design callbacks that respond dynamically to user input. Each section builds toward practical application, with step-by-step guidance through building charts, forms, and interactions.

The course features two major capstone projects—one based on avocado prices and another tracking life expectancy—plus two detailed case studies including a live financial dashboard and an interactive map. Bonus material introduces Jupyter Dash, extending your toolkit for development.

Designed for intermediate Python users, this course is perfect for data analysts, business intelligence professionals, and developers who want to build interactive web-based data apps. Prerequisites include basic Python knowledge and familiarity with data structures and functions.

Syllabus 11

  1. Let's Get Started 25 minutes

    In this module, we will set the stage for your learning journey by introducing you to the course and its author. You'll get a clear overview of what to expect from the course and how it will empower you to create interactive dashboards using Plotly Dash.

  2. Python Crash Course 1.5 hours

    In this module, we will dive into the essential Python concepts you'll need to build interactive dashboards. You'll learn how to set up your Python environment and get comfortable with data types, control structures, and functions, which are crucial for effective data manipulation and visualization.

  3. Introduction to Plotly Dash 25 minutes

    In this module, we will introduce you to Plotly Dash, a powerful framework for building interactive dashboards. You'll learn what Dash is and how it simplifies the process of creating data-driven applications. By the end of this section, you'll have built your first dashboard, setting a strong foun…

  4. Building the Layout of Dashboards 55 minutes

    In this module, we will delve into the layout-building aspects of Dash, focusing on both HTML and core components. You'll gain an understanding of how these elements come together to form the structure of your dashboards, enabling you to create layouts that are both functional and user-friendly.

  5. Making Dashboards Interactive with Callbacks 1 hour

    In this module, we will explore how to bring your dashboards to life by making them interactive using callbacks in Plotly Dash. You'll start by learning the basics of callbacks, then progressively build more complex interactions, including multi-input/output callbacks, chaining, and using States to…

  6. Capstone Project I 20 minutes

    In this module, we will guide you through the Avocado Prices dashboard project, your first capstone task. You'll get an overview of the project requirements and begin applying all the concepts and tools you've learned. This capstone project will solidify your understanding and give you practical ex…

  7. Customizing the Look of Dashboards 1 hour

    In this module, we will focus on enhancing the visual appeal and user experience of your dashboards by customizing their look and feel. You'll learn various techniques for applying CSS, both inline and external, and how to create sophisticated layouts like grids, navigation bars, and card decks. Th…

  8. Case Study I: Creating an Interactive Map Dashboard 1 hour

    In this module, we will walk through a detailed case study of creating an interactive map dashboard. You'll learn how to set up the layout with essential components like a RangeSlider, Choropleth map, and DataTable, and then make the dashboard interactive by adding callbacks. This case study will p…

  9. Case Study II: Building a Live Updating Financial Dashboard 1 hour

    In this module, we will guide you through creating a live updating financial dashboard. You'll learn how to set up the layout with essential components like input fields, candlestick charts, and tabs, and then implement live data updates using intervals and callbacks. This case study will equip you…

  10. Capstone Project II 30 minutes

    In this module, we will introduce your second capstone project, where you'll create a Life Expectancy dashboard. This project will challenge you to apply everything you've learned, from layout design to live updates, as you build a dashboard that provides insights into global health trends. By comp…

  11. Bonus Materials 1.5 hours

    In this module, we will introduce you to Jupyter Dash, a powerful extension of Plotly Dash that allows you to build interactive dashboards within Jupyter notebooks. This bonus material will help you expand your toolkit, offering an alternative approach to dashboard development that combines the int…

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Covers niche tools that universities don't teach.
  • Self-paced: start any time.
  • A clear syllabus (11 parts) you can see before you start.
  • Hands-on: you build or practise, not just watch.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.
  • Many courses are produced quickly from slides and screen recordings; read the reviews first.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Packt - Course Instructors

Packt is in Tier 5: mass-produced or unclear of our institution ranking (40/100). Thousands of courses turned out quickly; check reviews first.

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