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

Georgia Institute of Technology

Sound and Sonification Design for Interactive Learning Tools

Skills you'll gain: Music, Multimedia, Design, Web Content Accessibility Guidelines, Usability Testing, Design Thinking, Human Centered Design, Data Mapping

Universitat de Barcelona

Oceanografía: una clave para entender mejor nuestro mundo

Skills you'll gain: Physical Science, Water Resources, Chemistry, Geographic Information Systems, Geospatial Information and Technology, Environment, Environmental Science, Physics, Remote Access Systems, Real Time Data

Duke University

Stress First Aid for Healthcare Workers: A Peer Support Tool

Skills you'll gain: Positivity, Stress Management, Resilience, First Aid, Crisis Intervention, Patient Safety, Community Mental Health Services, Personal Development, Mental Health, Growth Mindedness, Empathy, Self-Awareness, Communication

Macquarie University

스토리텔링과 영향력: 임팩트 있게 소통하라

Skills you'll gain: Persuasive Communication, Influencing, Storytelling, Communication, Rapport Building, Leadership, Stakeholder Communications, Verbal Communication Skills, Meeting Facilitation, Overcoming Objections, Presentations, Conflict Management, Non-Verbal Communication

Ball State University

Introduction to Programming

Skills you'll gain: Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, NumPy, Debugging, Data Manipulation

Coursera Project Network

Clean and analyze social media usage data with Python

Skills you'll gain: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Wrangling, Data Analysis, Exploratory Data Analysis, Data Cleansing, Jupyter

University of Leeds

Aeroecology: Exploring Biodiversity with Radar

Skills you'll gain: Environmental Monitoring, Environmental Regulations, Environment, Taxonomy, Environmental Science, Spatial Data Analysis, Estimation, Research, Scientific Visualization, Data Literacy, Exploratory Data Analysis, Data Collection, Biology, Physics

Universitat de Barcelona

Strategies for winning. Meteorology in a round the world regatta

Skills you'll gain: Safety Assurance, Mathematical Modeling, Predictive Modeling, Time Series Analysis and Forecasting, Global Positioning Systems, Water Resources, Telecommunications, Risk Control

Coursera Project Network

COVID19 Data Analysis Using Python

Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Infectious Diseases

Status: Free Trial

Università di Napoli Federico II

Autonomous Aerospace Systems

Skills you'll gain: Control Systems, Systems Architecture, Simulation and Simulation Software, Global Positioning Systems, Automation, Computer Vision, Mathematical Modeling, Estimation, Real Time Data

University of Amsterdam

The Social Dimensions of Antimicrobial Resistance

Skills you'll gain: Social Sciences, Surveys, Scientific Methods, Socioeconomics, Infectious Diseases, Community Health, Health Systems, Public Health, Health Policy, Governance, Systems Thinking

University of California San Diego

Introduction to Seaweeds

Skills you'll gain: Biology, Life Sciences, Environment and Resource Management, Environment, Product Development, Food and Beverage, Natural Resource Management, Microbiology, Biochemistry, Taxonomy, Manufacturing and Production, Molecular Biology, Anatomy, Chemical Engineering, Production Process, Pharmacology, Nutrition and Diet

Seaborn Courses Online

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Sound and Sonification Design for Interactive Learning Tools

Oceanografía: una clave para entender mejor nuestro mundo