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

Siemens
응용 전산 유체 역학
Skills you'll gain: Engineering Analysis, Thermal Management, Simulation and Simulation Software, Simulations, Mechanical Engineering, Numerical Analysis, Engineering, Mathematical Modeling, Differential Equations, Physics
Intermediate · Course · 1 - 3 Months
H2O.ai
H2O Wave Starter Course
Skills you'll gain: Application Development, User Interface (UI), Development Environment, ChatGPT, Cloud Applications, Generative AI, Artificial Intelligence, Application Deployment, Python Programming, Cloud Computing, Open Source Technology
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
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
H2O.ai
DataPrep for H2O Driverless AI
Skills you'll gain: Supervised Learning, Machine Learning, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis
Beginner · Course · 1 - 4 Weeks
H2O.ai
H2O Gen AI Ecosystem Overview - Level 2
Skills you'll gain: Generative AI, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Real Time Data, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Performance Tuning, Deep Learning, Data Processing, Data Manipulation, Data Cleansing
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Packt
Deep Learning with Real-World Projects
Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Machine Learning Methods, Data Analysis
4.2
Rating, 4.2 out of 5 stars
6 reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Conducting Exploratory Data Analysis
Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
Status: New
Status: Free Trial
University of Colorado Boulder
BiteSize Python for Intermediate Learners
Skills you'll gain: Matplotlib, Object Oriented Programming (OOP), Plotly, Seaborn, Data Visualization Software, Object Oriented Design, Pandas (Python Package), NumPy, Statistical Visualization, Interactive Data Visualization, Software Documentation, Scatter Plots, Box Plots, Data Structures, Maintainability, Programming Principles, Software Design, Data Import/Export, Data Manipulation, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
6 reviews
Intermediate · Specialization · 3 - 6 Months
Status: New
Banco Interamericano de Desarrollo
Saneamiento óptimo: un paradigma integral y sostenible
Skills you'll gain: Sanitation, Water Resources, Environmental Engineering, Environment and Resource Management, Governance, Community Development, Economic Development, Innovation, Public Health, Emerging Technologies, Technology Solutions, Digital Transformation
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Packt
Python Fundamentals and Data Science Essentials
Skills you'll gain: Matplotlib, Data Visualization, Linear Algebra, NumPy, Seaborn, Pandas (Python Package), Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Data Analysis, Data Manipulation, Classification And Regression Tree (CART), Regression Analysis, Data Structures
Beginner · Course · 1 - 3 Months
Coursera Project Network
Analyze Data in Azure ML Studio
Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Matplotlib, Feature Engineering, Scatter Plots, Data Analysis, Statistics, Exploratory Data Analysis, Seaborn, Data Visualization Software, Correlation Analysis, Applied Machine Learning
Beginner · Guided Project · Less Than 2 Hours
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