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Victoria Clark

This course will teach you how to build a simple data visualization using the Altair API in Python.

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This course will teach you how to build a simple data visualization using the Altair API in Python.

Altair is a declarative statistical visualization library that allows you to make customizable charts in Python. In this course, Build Your First Data Visualization with Altair 4, you’ll learn your way around Altair to effectively create and build visualizations in a simple and easy way. First, you’ll explore how to set up and set dependencies for Altair. Next, you’ll discover how to create the context for the visualization and load a simple data source. Finally, you’ll learn how to build and customize your visualization using Altair. When you’re finished with this course, you’ll have the skills and knowledge of the Altair API needed to build beautiful visualizations using Python in a simple and effective way.

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What's inside

Syllabus

Course Overview
Getting Started with Altair
Building and Customizing Your Altair Visualization

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills for visualizing data in a simple and easy way
Teaches Altair, which is a library that allows for customization and flexibility in creating visualizations
Suitable for beginners who want to learn how to build data visualizations in Python

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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 Altair 4 with these activities:
Basic Python review
Python is necessary for this course and you must be familiar with the basics of the language.
Browse courses on Python
Show steps
  • Read a Python programming tutorial.
  • Watch a few YouTube videos on Python basics.
  • Complete a few coding exercises in Python.
Altair API tutorials
Altair is a popular Python library for data visualization and these tutorials will help you get started quickly.
Show steps
  • Find a few tutorials on the Altair API.
  • Follow the tutorials and complete the exercises.
Attend a data visualization conference
Attending a data visualization conference is a great way to learn about the latest trends and meet other people who are interested in the field.
Browse courses on Data Visualization
Show steps
  • Find a data visualization conference in your area.
  • Register for the conference.
  • Attend the conference and participate in the activities.
Three other activities
Expand to see all activities and additional details
Show all six activities
Altair coding exercises
Completing Altair coding exercises will help you improve your skills and solidify your understanding of the concepts.
Browse courses on Altair
Show steps
  • Find a few Altair coding exercises online.
  • Complete the exercises.
Data visualization project
Creating a data visualization project will help you apply your new skills and solidify your understanding of Altair.
Browse courses on Data Visualization
Show steps
  • Choose a dataset to visualize.
  • Create a visualization using Altair.
  • Write a brief report on your project.
Contribute to the Altair project
Contributing to the Altair project is a great way to learn more about the library and help others.
Browse courses on Altair
Show steps
  • Find a bug or feature request on the Altair GitHub repository.
  • Fork the Altair repository.
  • Fix the bug or implement the feature.
  • Submit a pull request.

Career center

Learners who complete Build Your First Data Visualization with Altair 4 will develop knowledge and skills that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialists are responsible for creating and communicating data visualizations that effectively convey insights and information. The course on building data visualizations with Altair 4 is highly relevant to this role, as it provides a comprehensive foundation in data visualization techniques and best practices. By mastering the skills taught in this course, you can develop the ability to create clear, informative, and engaging data visualizations that drive decision-making and improve communication.
Information Designer
Information Designers create visual representations of data and information to communicate complex ideas and concepts in a clear and engaging way. The course on building data visualizations with Altair 4 aligns well with the skills required for Information Designers. By learning how to effectively visualize data using Altair, you can enhance your ability to create visual stories that inform, persuade, and inspire audiences.
Data Analyst
Data Analysts play a crucial role in today's data-driven world, and the course on building data visualizations with Altair 4 can be a valuable tool for aspiring Data Analysts. This course provides a solid foundation in data visualization techniques, which are essential for effectively communicating data insights and making data-driven decisions. By learning how to create clear and informative visualizations, you can enhance your ability to identify patterns, trends, and outliers in data, leading to better decision-making and problem-solving capabilities.
Data Scientist
Data Scientists leverage data to uncover valuable insights and solve complex problems. The course on building data visualizations with Altair 4 aligns well with the skills required for Data Scientists. By mastering data visualization techniques, you can effectively communicate your findings to stakeholders and decision-makers, enabling them to understand complex data and make informed decisions. This course can help you build a strong foundation in data visualization, a critical skill for success in the field of Data Science.
Epidemiologist
Epidemiologists investigate the causes and patterns of health and disease in populations. The course on building data visualizations with Altair 4 can be beneficial for Epidemiologists, as it provides the ability to create clear and compelling data visualizations. By effectively communicating epidemiological data and analysis through visualizations, Epidemiologists can help public health officials understand the spread of disease, identify risk factors, and develop effective prevention strategies.
Market Research Analyst
Market Research Analysts gather and interpret data to understand market trends and consumer behavior. The course on building data visualizations with Altair 4 can be beneficial for Market Research Analysts, as it provides the skills to create clear and persuasive data visualizations. By effectively presenting research findings through visualizations, Market Research Analysts can help stakeholders make informed decisions about product development, marketing strategies, and target audience.
Statistician
Statisticians collect, analyze, and interpret data to uncover patterns and trends. The course on building data visualizations with Altair 4 can be a useful tool for Statisticians, as it provides the ability to create clear and informative data visualizations. By effectively communicating statistical findings through visualizations, Statisticians can help stakeholders understand complex data and make informed decisions.
Business Analyst
Business Analysts help organizations understand their data and make better decisions. The course on building data visualizations with Altair 4 can complement the skills of Business Analysts by providing them with the ability to create compelling data visualizations. By effectively communicating data insights through visualizations, Business Analysts can help stakeholders understand complex information, identify opportunities, and make data-driven recommendations.
Financial Analyst
Financial Analysts evaluate and interpret financial data to make investment recommendations. The course on building data visualizations with Altair 4 can be useful for Financial Analysts, as it provides the ability to create clear and insightful data visualizations. By effectively communicating financial data and analysis through visualizations, Financial Analysts can help investors understand complex financial information and make informed investment decisions.
Product Manager
Product Managers are responsible for the development and management of products. The course on building data visualizations with Altair 4 can be beneficial for Product Managers, as it provides the ability to create clear and actionable data visualizations. By effectively communicating product data and insights through visualizations, Product Managers can help stakeholders make informed decisions about product roadmap, feature prioritization, and market positioning.
Data Engineer
Data Engineers play a vital role in building and maintaining data infrastructure. While not directly related to data visualization, the course on building data visualizations with Altair 4 can provide valuable insights into data analysis and interpretation. By understanding how data is visualized and presented, Data Engineers can better design data pipelines and storage systems that meet the needs of data analysts and business users. This course may enhance your understanding of data visualization and its importance in the data engineering process.
UX Designer
UX Designers focus on improving the user experience of digital products and services. While not directly related to data visualization, the course on building data visualizations with Altair 4 can provide valuable insights into data analysis and user behavior. By understanding how data is visualized and interpreted, UX Designers can make data-driven decisions about user interface design, information architecture, and overall user experience.
Graphic designer
Graphic Designers create visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. While not directly related to data visualization, the course on building data visualizations with Altair 4 can provide valuable insights into visual design principles and aesthetics. By understanding how data is visualized and presented, Graphic Designers can create more effective and engaging visual content.
Software Engineer
Software Engineers design, develop, and maintain software applications. While not directly related to data visualization, the course on building data visualizations with Altair 4 can provide valuable insights into data structures, algorithms, and user interface design. By understanding how data is visualized and interpreted, Software Engineers can make informed decisions about software architecture, data management, and user experience.
Web Developer
Web Developers design and develop websites and web applications. While not directly related to data visualization, the course on building data visualizations with Altair 4 can provide valuable insights into data structures, user interface design, and front-end development. By understanding how data is visualized and interpreted, Web Developers can make informed decisions about website architecture, information organization, and user experience.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Build Your First Data Visualization with Altair 4.
Classic work on data visualization. It covers a wide range of topics, including the principles of good data visualization, the different types of visualizations, and how to design effective visualizations.
Is about the principles of effective data visualization. It focuses on how to create visualizations that are truthful, clear, and persuasive.
Is about the principles of effective data visualization. It focuses on how to choose the right visualization for your data and how to design visualizations that are clear and easy to understand.
Practical guide to data visualization. It covers everything from the basics of data visualization to advanced topics such as creating interactive visualizations and working with big data.
Guide to ggplot2, a popular R package for data visualization. It covers everything from the basics of ggplot2 to advanced topics such as creating interactive visualizations and working with big data.
Practical guide to creating data visualizations that are clear, concise, and effective.
Practical guide to data visualization using Python and JavaScript. It primarily uses the Bokeh library, a Python library for creating interactive visualizations.

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