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

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Goodwill Industries International

Client Intake, Assessments, Skill Analysis and Planning

Skills you'll gain: Accountability, Recruitment, Client Services, Needs Assessment, Goal Setting, Coaching, Professional Development, Rapport Building, Critical Thinking, Overcoming Obstacles

Universidad de Palermo

Arte Medieval

Skills you'll gain: Art History, Aesthetics, European History, Ancient History, World History

University of Copenhagen

Søren Kierkegaard - Subjectivity, Irony and the Crisis of Modernity

Skills you'll gain: Liberal Arts, European History, Research, Ethical Standards And Conduct, Ancient History, Writing, Political Sciences

Sapienza University of Rome

L’Egitto prima e dopo i faraoni. Dalla nascita dello Stato (3000 a.C. ca.) alle prime comunità cristiane (IV secolo d.C.)

Skills you'll gain: Ancient History, Art History, World History, Culture, Cultural Diversity, Anthropology

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Fudan University

基于Unity引擎的游戏开发进阶

Skills you'll gain: Unity Engine, Cross Platform Development, Performance Tuning, Mobile Development, Video Game Development, Computer Graphics, Android (Operating System), Web Applications, Artificial Intelligence, Animations, Scripting

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

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

Status: New

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Edureka

Applied Data Analytics

Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Visualization, Exploratory Data Analysis, Matplotlib, Data Visualization Software, Web Scraping, Probability Distribution, Predictive Modeling, Seaborn, Statistical Visualization, SQL, Plotly, Interactive Data Visualization, Statistical Inference, Pandas (Python Package), Database Management, Data Analysis, Data Presentation, Databases

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