Seaborn is an open-source Python data visualization tool that's based on matplotlib, a comprehensive Python library used to create interactive, static, and animated visualizations. Using seaborn gives you a way to bridge the gap between insight and data. It gives users a high-level interface to make statistical graphics, building upon matplotlib, and integrating with pandas data structures. It enables users to explore data with plotting functions that operate on dataframes. Users can focus more on what the elements of plots mean instead of how to draw them thanks to seaborn's dataset-oriented, declarative API.

What skills or experience do I need to already have, before starting to learn seaborn?

Before you tackle learning seaborn, you should have a good foundation in the basic terminologies of computer programming. It also helps to have a firm grasp of Python or other programming languages. If you’re familiar with working with matplotlib, that’s a bonus too. If you’ve never worked with Python before, it might help to take a beginner-level course to develop those skills before learning seaborn.

What are typical careers that use seaborn?

Some common careers in data visualization include data visualization engineer, which has a median annual salary of $92,305 in the US as of 2021, according to PayScale. Other careers that may use seaborn include data analyst, business intelligence analyst, and data scientist. Because seaborn is a data visualization tool, it opens the door to a variety of careers working with data. Data is a hot field, with demand increasing for workers who can leverage the power of big data, according to The Balance Careers.

How can online courses on Coursera help me learn seaborn?

You can use online courses on Coursera to build a solid foundation in using Python and understanding data visualization in addition to learning how to use seaborn. While many of the courses are at the intermediate or advanced level, there are also courses available that are geared toward beginners. You may have an opportunity to produce charts using seaborn while learning more about data science and machine learning and developing hands-on skills such as dropping correlated features, implementing feature selection, and building boosts tree classifiers.

Top Seaborn Courses - Learn Seaborn Online

Explore the Seaborn Course Catalog

University of Virginia
혁신을 위한 디자인 씽킹
Skills you'll gain: Design Thinking, Creative Problem-Solving, Ideation, Innovation, Strategic Thinking, Open Mindset, Storytelling, Human Centered Design, Data Visualization, Market Opportunities, Growth Mindedness
Beginner · Course · 1 - 3 Months
Status: Free Trial
Packt
Foundations of Data Science and Machine Learning with Python
Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Seaborn, Python Programming, Machine Learning, NumPy, Natural Language Processing, Supervised Learning, Pandas (Python Package), Artificial Neural Networks, Data Science, Regression Analysis, Data Manipulation, Data Structures
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Duke University
Rediscovering Wesleyan Mission
Skills you'll gain: Community and Social Work, Social Justice, Community Outreach, Public History, Research, Storytelling, Cultural Diversity
Beginner · Course · 1 - 4 Weeks
University at Buffalo
재생 에너지: 기본 원칙 및 일자리 창출
Skills you'll gain: Building Design, Energy and Utilities, Architectural Design, Sustainability Reporting, Environment, Environmental Science, Electrical Power, Environmental Engineering, Electric Power Systems, Workforce Development, Technology Solutions, Professional Development, Emerging Technologies, Semiconductors
Beginner · Course · 1 - 3 Months
Status: Free Trial
Duke University
Emphasizing Christian Formation
Skills you'll gain: Education and Training, Adult Education, Community Outreach, Higher Education, Community Development, Compassion, Lifelong Learning, Discussion Facilitation, Growth Mindedness, Innovation
Beginner · Course · 1 - 4 Weeks
University of Virginia Darden School Foundation
디지털 전환 입문과정 [파트 2]
Skills you'll gain: Digital Transformation, Performance Improvement, Business Transformation, Data Integrity, Organizational Change, Data Security, Cloud Computing, Business Technologies, Technology Strategies, Data Management, Emerging Technologies, Market Trend
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Análisis exploratorio de datos con Python y Pandas
Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming
4.3
Rating, 4.3 out of 5 stars
14 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: New
Status: Free Trial
University of Pennsylvania
How to Use Data
Skills you'll gain: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Seaborn, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Interactive Data Visualization, Database Management, Verbal Communication Skills, Business Analytics, Decision Tree Learning, Classification And Regression Tree (CART)
Beginner · Specialization · 1 - 3 Months
University of Michigan
사람, 기술, 모빌리티의 미래
Skills you'll gain: Social Sciences, Automation, Economics, Policy, and Social Studies, Socioeconomics, Energy and Utilities, Electric Power Systems, Transportation Operations, Health Equity, Policy Analysis, Emerging Technologies, Technology Roadmaps, Civil Engineering, Electrical Engineering, Augmented and Virtual Reality (AR/VR), Environment, Safety and Security, Information Privacy, Artificial Intelligence
Beginner · Course · 1 - 3 Months
H2O.ai
H2O GPTe Learning Path
Skills you'll gain: Large Language Modeling, Generative AI, Web Applications, Artificial Intelligence, Data Processing, Prompt Engineering, Agentic systems, Information Architecture, Application Programming Interface (API), Automation, Data Analysis
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Illinois Tech
Statistical Learning
Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning Algorithms, Applied Machine Learning, Regression Analysis, Probability & Statistics, Advanced Analytics, Machine Learning, Bayesian Statistics, Statistical Inference, Supervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Feature Engineering
Build toward a degree
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Corporate Finance Institute
Python Fundamentals
Skills you'll gain: Matplotlib, Financial Data, Exploratory Data Analysis, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Data Science, Data Transformation, Python Programming, Data Cleansing, Computer Programming
Advanced · Course · 1 - 3 Months