Build Your First Data Visualization with Pygal 2 from Pluralsight

This quick course demonstrates just how easy it is to create a complex interactive data visualization for further analysis.

Data Visualization is an amazing way to share your data insights and stories. In this course, Build Your First Data Visualization with Pygal, you will learn how to easily and quickly build an interactive data visualization with minimal code and effort. First, you will be installing Python via Anaconda, understanding dependencies, and how to make your data visualization interactive without leaving the browser. Next, you will be creating and styling your first chart with Pygal inside of Jupyter Notebooks. Finally, you will go over outputs so you can share your new data visualization with others. By the end of this course you will be able to quickly and easily build your own interactive data visualization.

Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace.

Whether you’re new to building data visualization or looking to enhance your skills, this is the perfect place to get started.

The course will walk you through installing Python via Anaconda and then using Pygal inside of Jupyter Notebooks.

Interactive data visualization enables direct actions on a graphical plot to change elements and link between multiple plots.

Pygal is a Python module that creates SVG (Scalable Vector Graphics) graphs/charts in a variety of styles. Pygal is highly customize-able, yet also extremely simplistic, which is a very rare combination.

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

What's inside

Syllabus

Course Overview

Introducing Pygal

Visualizing Data with Pygal

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops skills and knowledge that are core for data sharing and storytelling

Takes a creative approach by utilizing a wide range of visuals

Modular format allows learners to customize their learning path

Teaches highly relevant industry tools and skills

Covers essential concepts for beginners

Taught by recognized experts in the field

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Build Your First Data Visualization with Pygal 2 with these activities:

Connect with experienced data visualization professionals

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Provides access to expert advice, industry insights, and potential career opportunities.

Browse courses on Mentorship

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Identify and reach out to data visualization professionals on LinkedIn, industry forums, or through personal connections.
Request mentorship or guidance on your learning journey or career aspirations.
Regularly connect with your mentors for support and advice.

Read 'Interactive Data Visualization for the Web'

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Provides theoretical knowledge and practical insights into interactive data visualization techniques.

View Interactive Data Visualization for the Web: An... on Amazon

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Read chapters relevant to the course topics, focusing on Pygal and interactive data visualization.
Take notes and highlight key concepts and best practices.

Review basic statistics concepts

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Helps refresh basic statistics concepts and familiarity with data visualization tools.

Browse courses on Statistics

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Review notes or textbooks on basic statistical concepts such as mean, median, mode, variance, and standard deviation.
Explore online resources or tutorials on data visualization techniques and tools like charts, graphs, and dashboards.

Six other activities

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Participate in peer discussion forums

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Encourages collaboration, knowledge sharing, and diverse perspectives on data visualization techniques.

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Join online forums or discussion groups related to data visualization.
Actively participate in discussions, asking questions and sharing insights.
Engage with peers by providing constructive feedback and support.

Follow tutorials on creating data visualizations with Pygal

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Provides hands-on experience in using Pygal for data visualization and creating interactive charts.

Browse courses on Pygal

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Find online tutorials or courses that guide you through creating data visualizations using Pygal.
Follow the tutorials step-by-step, experimenting with different chart types and customization options.
Practice creating interactive charts that allow for data exploration and insights.

Attend a data visualization workshop

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Offers structured learning, hands-on practice, and networking opportunities.

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Identify and register for data visualization workshops conducted by experts or industry professionals.
Attend the workshop, actively participate in exercises and discussions.
Network with other participants and experts to gain insights and expand professional connections.

Create a resource collection on data visualization tools and techniques

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Facilitates ongoing learning and exploration of data visualization resources.

Browse courses on Data Visualization Tools

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Gather and curate links to online resources, tutorials, articles, and libraries related to data visualization.
Organize the collection into categories for easy reference.
Share the collection with peers or the broader community.

Develop an interactive data visualization project

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Enhances practical application of data visualization skills and fosters creativity in data storytelling.

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Identify a dataset and define the purpose of the data visualization.
Design and implement an interactive dashboard using Pygal.
Incorporate techniques for data storytelling and effective communication.
Share the project with peers or instructors for feedback.

Start a personal data visualization project

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Encourages independent learning, creativity, and application of data visualization skills.

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Identify a personal interest or dataset that you want to explore and visualize.
Design and implement a data visualization using Pygal or other suitable tools.
Present your project to peers or mentors for feedback and improvement.

Career center

Learners who complete Build Your First Data Visualization with Pygal 2 will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course can help you develop the skills needed to be a successful Data Analyst by teaching you how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to communicate complex data in a clear and concise way, which is an essential skill for Data Analysts.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use data to solve business problems and make predictions. This course can help you develop the skills needed to be a successful Data Scientist by teaching you how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to communicate complex data in a clear and concise way, which is an essential skill for Data Scientists.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts use data to help businesses improve their performance. This course can help you develop the skills needed to be a successful Business Analyst by teaching you how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to communicate complex data in a clear and concise way, which is an essential skill for Business Analysts.

See salaries and explore the career path for Business Analyst

Market Researcher

Market Researchers collect and analyze data to help businesses understand their customers. This course can help you develop the skills needed to be a successful Market Researcher by teaching you how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to communicate complex data in a clear and concise way, which is an essential skill for Market Researchers.

See salaries and explore the career path for Market Researcher

Financial Analyst

Financial Analysts use data to make investment recommendations. This course can help you develop the skills needed to be a successful Financial Analyst by teaching you how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to communicate complex data in a clear and concise way, which is an essential skill for Financial Analysts.

See salaries and explore the career path for Financial Analyst

Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who want to learn how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to communicate complex data in a clear and concise way, which can be helpful for Software Engineers when debugging code or explaining technical concepts to non-technical stakeholders.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers design and develop websites. This course may be useful for Web Developers who want to learn how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to add visual interest to a website and make it more engaging for users.

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Data Engineer

Data Engineers design, build, and maintain data pipelines. This course may be useful for Data Engineers who want to learn how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to monitor data pipelines and identify potential problems.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators manage and maintain databases. This course may be useful for Database Administrators who want to learn how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to monitor database performance and identify potential problems.

See salaries and explore the career path for Database Administrator

Systems Analyst

Systems Analysts design and implement computer systems. This course may be useful for Systems Analysts who want to learn how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to document system requirements and communicate complex technical concepts to non-technical stakeholders.

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Project Manager

Project Managers plan and execute projects. This course may be useful for Project Managers who want to learn how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to track project progress and identify potential risks.

See salaries and explore the career path for Project Manager

Product Manager

Product Managers plan and manage the development of products. This course may be useful for Product Managers who want to learn how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to track product usage and identify potential areas for improvement.

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Technical Writer

Technical Writers create documentation for software and other technical products. This course may be useful for Technical Writers who want to learn how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to make technical documentation more engaging and easier to understand.

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User Experience Designer

User Experience Designers design and evaluate user interfaces. This course may be useful for User Experience Designers who want to learn how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to test user interface designs and identify potential areas for improvement.

See salaries and explore the career path for User Experience Designer

Graphic designer

Graphic Designers create visual content for a variety of purposes. This course may be useful for Graphic Designers who want to learn how to use Pygal to create interactive data visualizations. Interactive data visualizations can be used to add visual interest to marketing materials and other visual content.

See salaries and explore the career path for Graphic designer