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January 28, 2025
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Recommended experience
Intermediate level
Ideal for those looking to present data analyses through interactive, web-based dashboards using Plotly Dash. Basic Python knowledge is recommended.
Recommended experience
Intermediate level
Ideal for those looking to present data analyses through interactive, web-based dashboards using Plotly Dash. Basic Python knowledge is recommended.
Identify the core components and structure of a Plotly Dash dashboard.
Explain the role of callbacks in making dashboards interactive.
Break down complex dashboard layouts into manageable sections using HTML and CSS.
Assess the effectiveness of dashboard interactivity through real-time data updates.
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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.
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 videos1 reading
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.
6 videos
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.
2 videos
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.
2 videos1 assignment
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.
6 videos
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.
1 video
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.
5 videos1 assignment
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.
5 videos
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.
6 videos
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.
1 video1 assignment
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.
1 video1 assignment
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
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