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

Status: Free
Pohang University of Science and Technology(POSTECH)
Ferrous Technology I
Skills you'll gain: Manufacturing Processes, Manufacturing and Production, Manufacturing Operations, Production Process, Process Engineering, Mechanical Engineering, Engineering, Process Analysis, Physical Science, Environmental Issue
4.7
Rating, 4.7 out of 5 stars
698 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Expressway to Data Science: Python Programming
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Programming Principles, Scatter Plots, Computer Science, Computer Programming, Histogram, Data Import/Export, Package and Software Management, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science
4.7
Rating, 4.7 out of 5 stars
280 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free
University of Copenhagen
Søren Kierkegaard - Subjectivity, Irony and the Crisis of Modernity
Skills you'll gain: Liberal Arts, Social Justice, Research, Ethical Standards And Conduct, Political Sciences, Writing and Editing
4.8
Rating, 4.8 out of 5 stars
714 reviews
Mixed · Course · 1 - 3 Months
Amazon Web Services
Containerized Applications on AWS
Skills you'll gain: Amazon CloudWatch, Containerization, Microservices, Docker (Software), Amazon Web Services, Kubernetes, Amazon Elastic Compute Cloud, Application Deployment, Serverless Computing, System Monitoring, Scalability
4.6
Rating, 4.6 out of 5 stars
172 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Understanding and Visualizing Data with Python
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Universitat de Barcelona
Oceanografía: una clave para entender mejor nuestro mundo
Skills you'll gain: Global Positioning Systems, Physical Science, Water Resources, Geospatial Mapping, Geographic Information Systems, Geospatial Information and Technology, Environment, Spatial Data Analysis, General Science and Research, Systems Of Measurement, Remote Access Systems
4.7
Rating, 4.7 out of 5 stars
355 reviews
Mixed · Course · 1 - 3 Months
University of Colorado System
Medical Emergencies: CPR, Toxicology, and Wilderness
Skills you'll gain: Cardiopulmonary Resuscitation (CPR), Automated External Defibrillator, Emergency Medical Services, Emergency Medicine, First Aid, Acute Care, Emergency Response, Patient Treatment, Behavioral Health, Patient Safety, Vital Signs, Medication Administration, Health Assessment, Anatomy
4.8
Rating, 4.8 out of 5 stars
523 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
University of Cape Town
Large Marine Ecosystems: Assessment and Management
Skills you'll gain: Environment and Resource Management, Natural Resource Management, Environmental Management Systems, Environment, Water Resources, Social Sciences, Environmental Policy, Governance, Policy Development, Socioeconomics, International Relations, Economics, Scientific Methods
4.8
Rating, 4.8 out of 5 stars
300 reviews
Intermediate · Course · 1 - 3 Months
Databricks
Introduction to Computational Statistics for Data Scientists
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Simulations, Data Visualization, Probability & Statistics, Development Environment, Statistical Inference, Algorithms
4
Rating, 4 out of 5 stars
109 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free
Sapienza University of Rome
Recovering the Humankind's Past and Saving the Universal Heritage
Skills you'll gain: 3D Modeling, Scientific Methods, Anthropology, Investigation, Data Modeling, Cultural Diversity, Liberal Arts, Research, Timelines, Data Management, Social Sciences, Technology Strategies, Multimedia, Research Methodologies
4.4
Rating, 4.4 out of 5 stars
300 reviews
Mixed · Course · 1 - 3 Months
University of Michigan
Inferential Statistical Analysis with Python
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Quantitative Research, Python Programming, Matplotlib, NumPy
4.6
Rating, 4.6 out of 5 stars
917 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Evidence-based Toxicology
Skills you'll gain: Verification And Validation, Research, Safety Assurance, Scientific Methods, Food Quality Assurance And Control, Biostatistics, Bioinformatics, Research Methodologies, Environment Health And Safety, General Science and Research, Research Design, Epidemiology, Risk Management, Risk Analysis, Quantitative Research, Data Synthesis, Statistical Methods
4.7
Rating, 4.7 out of 5 stars
117 reviews
Beginner · Course · 1 - 3 Months