Python Interactive Dashboards with Plotly Dash

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Provider

Coursera
Pricing

Free Online Course (Audit)
Languages

English
Certificate

Paid Certificate Available
Duration & workload

7 hours 15 minutes
Sessions

On-Demand
Level

Intermediate
Subtitles

English

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Overview

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Dive into the world of interactive data visualization with this hands-on course designed to teach you how to create sophisticated dashboards using Plotly Dash in Python. You’ll start with a Python crash course, ensuring you have a solid foundation in the language, covering essential topics like data types, loops, and functions. This will equip you with the necessary skills to smoothly transition into dashboard development. As you advance, you’ll be introduced to Plotly Dash, where you’ll learn how to build and layout your first dashboard. The course emphasizes interactivity, teaching you how to use callbacks to create responsive elements, and how to incorporate HTML and core components to design dynamic user interfaces. You’ll also explore how to make your dashboards visually appealing through CSS customization, grid layouts, and navigation elements. To solidify your learning, the course offers capstone projects and case studies, such as creating an interactive map and a live-updating financial dashboard. These projects provide real-world scenarios where you can apply your skills and see the practical impact of your work. By the end of the course, you'll be confident in building and customizing powerful dashboards that bring data to life. This course is ideal for data analysts, data scientists, and software developers who have a basic understanding of Python and wish to enhance their data visualization skills. No prior experience with Plotly Dash is required, but a fundamental knowledge of Python programming is recommended.

Syllabus

Let's Get Started

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.

Python Crash Course

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.

Introduction to Plotly Dash

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 foundation for more advanced projects.

Building the Layout of Dashboards

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.

Making Dashboards Interactive with Callbacks

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 control dashboard behavior. By the end of this section, your dashboards will be highly interactive and user-responsive.

Capstone Project I

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 experience in building a complete interactive dashboard using Plotly Dash.

Customizing the Look of Dashboards

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. These skills will help you create polished, professional dashboards that are not only functional but also aesthetically pleasing.

Case Study I: Creating an Interactive Map Dashboard

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 provide hands-on experience in building a complex, data-driven dashboard that responds dynamically to user inputs.

Case Study II: Building a Live Updating Financial Dashboard

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 with the skills to build real-time dashboards that are critical for financial analysis and decision-making.

Capstone Project II

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 completing this capstone, you'll solidify your mastery of Plotly Dash and dashboard development.

Bonus Materials

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 interactivity of Dash with the convenience of Jupyter notebooks.