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.

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Explore the Seaborn Course Catalog

Siemens
Angewandte numerische Fluiddynamik
Skills you'll gain: Thermal Management, Hydraulics, Engineering Analysis, Simulations, Numerical Analysis, Engineering, Mathematical Modeling, Physics
Intermediate · Course · 1 - 3 Months
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
Status: Free
Coursera Project Network
تطوير الألعاب باستخدام محرك Unity: 2D لعبة القفز على المنصات
Skills you'll gain: Unity Engine, Video Game Development, Game Design, C# (Programming Language), Animations, Program Development, Performance Tuning, Computer Programming, Computer Programming Tools, User Interface (UI)
Intermediate · Course · 1 - 4 Weeks
Status: New
University of Pennsylvania
Intro to Data Analytics, SQL, and EDA Using Python
Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Database Management, Data Visualization Software, Data Storage, Pandas (Python Package), Big Data, Data Science, Relational Databases, Data Management, Data Manipulation, Data Cleansing, NumPy
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
Packt
Semantic Kernel SDK for Intelligent Applications
Skills you'll gain: Prompt Engineering, Generative AI Agents, Large Language Modeling, Generative AI, OpenAI, ChatGPT, AI Personalization, Microsoft Visual Studio, Development Environment, Artificial Intelligence, Microsoft Azure, Persona Development, Application Development, Automation
Intermediate · Course · 1 - 3 Months
Status: New
University of Colorado Boulder
Impacts of Sustainable Operations and Supply Chains
Skills you'll gain: Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Sustainability Reporting, Strategic Sourcing, Procurement, Supply Chain Management, Labor Compliance, Compliance Management, Business Reporting, Supplier Management, Ethical Standards And Conduct, Waste Minimization, Product Lifecycle Management, Stakeholder Engagement
Build toward a degree
Beginner · Course · 1 - 4 Weeks
Status: New
Edureka
Python and Statistics Foundations
Skills you'll gain: Matplotlib, Probability & Statistics, Plotly, Statistical Analysis, Statistical Methods, Data Visualization Software, Statistical Hypothesis Testing, Data Manipulation, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Exploratory Data Analysis, Probability, Python Programming
Beginner · Course · 1 - 4 Weeks
Status: New
Coursera Project Network
Scripting with Alteryx: Python and R for Advanced Workflows
Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, Advanced Analytics, Trend Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Analysis, Employee Retention, Data Transformation, Risk Modeling
Intermediate · Guided Project · Less Than 2 Hours
Status: New
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, Data Storage, Decision Tree Learning, Classification And Regression Tree (CART)
Beginner · Specialization · 1 - 3 Months
Status: Free
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
Yale University
Становление современной Украины
Skills you'll gain:
Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular seaborn courses

Angewandte numerische Fluiddynamik: Siemens
Rediscovering Wesleyan Mission: Duke University
تطوير الألعاب باستخدام محرك Unity: 2D لعبة القفز على المنصات: Coursera Project Network
Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
Análisis exploratorio de datos con Python y Pandas: Coursera Project Network
Semantic Kernel SDK for Intelligent Applications : Packt
Impacts of Sustainable Operations and Supply Chains: University of Colorado Boulder
Python and Statistics Foundations: Edureka
Scripting with Alteryx: Python and R for Advanced Workflows: Coursera Project Network
How to Use Data: University of Pennsylvania

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