We may earn an affiliate commission when you visit our partners.
Pratheerth Padman
This course aims to build and solidify your understanding of what data visualization is, why it is important and eventually, how to build visualizations from your own datasets using Seaborn.
Read more
This course aims to build and solidify your understanding of what data visualization is, why it is important and eventually, how to build visualizations from your own datasets using Seaborn.
Read more
This course aims to build and solidify your understanding of what data visualization is, why it is important and eventually, how to build visualizations from your own datasets using Seaborn.
If you’re a data analyst or are involved in data-driven decision making for your organization, understanding data becomes crucial.
A key component in understanding your data is data visualization. You can find a plethora of tools to do this, and Python’s Seaborn library is one of the big ones.
In this course, Build Your First Data Visualization with Seaborn, you'll gain an introductory understanding of Seaborn.
First, you’ll deal with the what’s and the why’s of seaborn. You’ll hear about what it is, why it is needed and the things you can do with it.
Then, you will focus on creating actual visualizations using Seaborn and learn how to load a dataset, in addition to creating and customizing visualizations.
Finally, when you're finished with this course, you'll have the knowledge and skills to build visualizations from your own datasets with Seaborn.
Register for this course and see more details by visiting:
OpenCourser.com/course/fpwpj7/build
Here's a deal for you
We found an offer that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
What's inside
Syllabus
Course Overview
Introducing Seaborn - What and Why
Visualizing Data with Seaborn
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners who want to visualize data with Python's Seaborn library
Teaches learners how to load a dataset and create and customize visualizations using Seaborn
Covers the basics of data visualization with Seaborn, including what it is, why it is needed, and the things you can do with it
Save this course
Save Build Your First Data Visualization with Seaborn to your list so you can find it easily later:
Save
Save
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 Seaborn with these
activities:
Review data visualization fundamentals
Show steps
Strengthen your foundation in data visualization principles and concepts to enhance your understanding of Seaborn's functionality.
Show steps
-
Read articles, books, or online resources on data visualization best practices.
-
Review the different types of data visualizations and their appropriate use cases.
-
Consider the principles of visual perception and how they influence data visualization design.
-
Explore examples of effective and ineffective data visualizations to develop your critical thinking skills.
Review Seaborn's documentation
Show steps
Deepen your understanding of Seaborn's fundamentals by reading its official documentation.
Browse courses on
Seaborn
Show steps
-
Visit the Seaborn website and navigate to its documentation section.
-
Read through the introductory sections to familiarize yourself with Seaborn's purpose and capabilities.
-
Review the tutorials and examples provided to gain practical insights into using Seaborn.
Mentor junior data analysts or students
Show steps
Reinforce your understanding of Seaborn concepts by sharing your knowledge and guiding others in their learning journey.
Show steps
-
Identify opportunities to mentor junior data analysts or students who are learning Seaborn.
-
Provide guidance on Seaborn's functionality, best practices, and common pitfalls.
-
Review their code, offer constructive feedback, and suggest improvements.
-
Encourage them to ask questions and engage in discussions to deepen their understanding.
One other activity
Expand to see all activities and additional details
Show all four activities
Contribute to Seaborn's open-source community
Show steps
Expand your knowledge and make a meaningful contribution to the data visualization community by participating in Seaborn's open-source projects.
Show steps
-
Join the Seaborn community on GitHub and explore existing issues and discussions.
-
Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
-
Fork the Seaborn repository, make your changes, and submit a pull request.
-
Collaborate with other contributors and maintainers to refine your contributions.
-
Get your contributions merged into the official Seaborn repository.
Review data visualization fundamentals
Show steps
Strengthen your foundation in data visualization principles and concepts to enhance your understanding of Seaborn's functionality.
Show steps
Show steps
Show steps
- Read articles, books, or online resources on data visualization best practices.
- Review the different types of data visualizations and their appropriate use cases.
- Consider the principles of visual perception and how they influence data visualization design.
- Explore examples of effective and ineffective data visualizations to develop your critical thinking skills.
Review Seaborn's documentation
Show steps
Deepen your understanding of Seaborn's fundamentals by reading its official documentation.
Browse courses on
Seaborn
Show steps
Show steps
Show steps
- Visit the Seaborn website and navigate to its documentation section.
- Read through the introductory sections to familiarize yourself with Seaborn's purpose and capabilities.
- Review the tutorials and examples provided to gain practical insights into using Seaborn.
Mentor junior data analysts or students
Show steps
Reinforce your understanding of Seaborn concepts by sharing your knowledge and guiding others in their learning journey.
Show steps
Show steps
Show steps
- Identify opportunities to mentor junior data analysts or students who are learning Seaborn.
- Provide guidance on Seaborn's functionality, best practices, and common pitfalls.
- Review their code, offer constructive feedback, and suggest improvements.
- Encourage them to ask questions and engage in discussions to deepen their understanding.
One other activity
Expand to see all activities and additional details
Show all four activities
Contribute to Seaborn's open-source community
Show steps
Expand your knowledge and make a meaningful contribution to the data visualization community by participating in Seaborn's open-source projects.
Show steps
Show steps
Show steps
- Join the Seaborn community on GitHub and explore existing issues and discussions.
- Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
- Fork the Seaborn repository, make your changes, and submit a pull request.
- Collaborate with other contributors and maintainers to refine your contributions.
- Get your contributions merged into the official Seaborn repository.
Career center
Learners who complete Build Your First Data Visualization with Seaborn will develop knowledge and skills
that may be useful to these careers:
Market Researcher
Market Researcher
Market Researchers collect and analyze data to understand customer needs and preferences. This course on building data visualizations with Seaborn can be a useful tool for Market Researchers, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Data Scientist
Data Scientist
Data Scientists use data to build models and make predictions. This course on building data visualizations with Seaborn can be a useful tool for Data Scientists, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. This course on building data visualizations with Seaborn can be a useful tool for Business Analysts, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. This course on building data visualizations with Seaborn can be a useful tool for Statisticians, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course on building data visualizations with Seaborn can be a useful tool for Data Analysts, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. This course on building data visualizations with Seaborn can be a useful tool for Financial Analysts, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course on building data visualizations with Seaborn may be useful for Software Engineers, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
UX Designer
UX Designer
UX Designers design the user experience for websites and apps. This course on building data visualizations with Seaborn may be useful for UX Designers, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Web Developer
Web Developer
Web Developers design and develop websites. This course on building data visualizations with Seaborn may be useful for Web Developers, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course on building data visualizations with Seaborn may be useful for Marketing Managers, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Project Manager
Project Manager
Project Managers are responsible for planning and executing projects. This course on building data visualizations with Seaborn may be useful for Project Managers, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. This course on building data visualizations with Seaborn may be useful for Sales Managers, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course on building data visualizations with Seaborn may be useful for Product Managers, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. This course on building data visualizations with Seaborn may be useful for Operations Managers, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
Data Engineer
Data Engineer
Data Engineers design and build data systems. This course on building data visualizations with Seaborn may be useful for Data Engineers, as it can help them create clear and concise visualizations that can communicate complex data in a way that is easy to understand. The course covers topics such as loading and cleaning data, creating different types of visualizations, and customizing visualizations to meet specific needs.
For more career information including salaries, visit:
OpenCourser.com/course/fpwpj7/build
Reading list
We've selected 13 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 Seaborn.
Provides a solid overview of data visualization techniques and best practices. It will help you understand the principles of data visualization and how to create effective visualizations that clearly communicate your message.
Practical guide to choosing the right chart for your data. Evergreen provides a wealth of examples of effective visualizations, and she explains how to use different charts to communicate different types of data.
Practical guide to creating data visualizations that are clear, concise, and persuasive. Knaflic provides a step-by-step process for developing effective visualizations that will help you communicate your data effectively.
Save
This classic work on data visualization must-read for anyone who wants to create effective visualizations. Tufte provides a wealth of insights into the design and use of charts, graphs, and other visualization techniques.
Save
Must-read for anyone who wants to create data visualizations that are both accurate and visually appealing. Cairo provides a wealth of practical advice on how to design and use visualizations to effectively communicate your message.
Must-read for anyone who wants to create data visualizations using ggplot2. Wickham provides a comprehensive overview of ggplot2, and he covers a wide range of visualization techniques.
Provides a comprehensive overview of the field of information visualization. Ware covers the history, theory, and practice of information visualization, and he provides a wealth of examples of effective visualization techniques.
Provides a comprehensive overview of Python for data analysis. McKinney covers a wide range of topics, including data cleaning, data manipulation, and data visualization.
Practical guide to data science. Grus provides a step-by-step process for learning data science, and he covers a wide range of topics, including data cleaning, data manipulation, and data visualization.
Provides a comprehensive overview of advanced machine learning techniques. Raschka covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Comprehensive guide to deep learning. Chollet provides a step-by-step process for learning deep learning, and he covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive overview of natural language processing. Bird covers a wide range of topics, including text classification, sentiment analysis, and machine translation.
Provides a comprehensive overview of reinforcement learning. Sutton covers a wide range of topics, including Markov decision processes, value functions, and policy gradient methods.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fpwpj7/build
Share
Similar courses
Here are nine courses similar to
Build Your First Data Visualization with Seaborn.
Data Understanding and Visualization
OpenCourser.com/course/4081kv/data
Data Understanding and Visualization
Most relevant
Building Visualizations with MATLAB
OpenCourser.com/course/oe3pwj/building
Building Visualizations with MATLAB
Most relevant
Modern Data Analysis Masterclass in Pandas and Python
OpenCourser.com/course/tym3kt/modern
Modern Data Analysis Masterclass in Pandas and Python
Most relevant
Analyzing Data Visualization Requirements
OpenCourser.com/course/etqeen/analyzing
Analyzing Data Visualization Requirements
Most relevant
Data Visualization in Python (Mplib, Seaborn, Plotly, Dash)
OpenCourser.com/course/aubove/data
Data Visualization in Python (Mplib, Seaborn, Plotly,...
Most relevant
Statistical Data Visualization with Seaborn From UST
OpenCourser.com/course/ib5org/statistical
Statistical Data Visualization with Seaborn From UST
Most relevant
Designing Data Visualizations
OpenCourser.com/course/6r9hac/designing
Designing Data Visualizations
Most relevant
Use Tableau for your Data Science Workflow
OpenCourser.com/course/dttri2/use
Use Tableau for your Data Science Workflow
Most relevant
Guided Project: Get Started with Data Science in Agriculture
OpenCourser.com/course/j5olo6/guided
Guided Project: Get Started with Data Science in...
Most relevant
Time
35 hours
Level
Introductory
Via
Pluralsight
Instructor
Pratheerth Padman
Language
English
Good to know
Builds a strong foundation for beginners who want to visualize data with Python's Seaborn library
Teaches learners how to load a dataset and create and customize visualizations using Seaborn
Covers the basics of data visualization with Seaborn, including what it is, why it is needed, and the things you can do with it
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser