Best Seaborn Courses & Certificates [2026]

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Seaborn Courses

Seaborn courses can help you learn data visualization techniques, statistical graphics, and how to create informative plots. You can build skills in customizing visual aesthetics, interpreting data distributions, and enhancing visual storytelling through effective color palettes and themes. Many courses introduce tools like Python and Jupyter Notebooks, which facilitate hands-on practice and real-time data analysis, allowing you to apply your skills in various data-driven projects.

Popular Seaborn Courses and Certifications

Status: Free Trial
Coursera
Seaborn: Visualizing Basics to Advanced Statistical Plots
Skills you'll gain: Seaborn, Data Storytelling, Data Presentation, Statistical Visualization, Data Visualization, Data Literacy, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Data Analysis with Python
Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Predictive Modeling, Data Cleansing, Data Preprocessing, Model Evaluation, Predictive Analytics, Pandas (Python Package), Regression Analysis, Feature Engineering, Statistical Analysis, Matplotlib, Scikit Learn (Machine Learning Library), Data Visualization, NumPy, Python Programming
4.7
Rating, 4.7 out of 5 stars
20K reviews
Intermediate · Course · 1 - 3 Months
Status: New
Packt
Python for Data Visualization - A Beginner's Guide
Beginner · Course · 1 - 3 Months
Status: Free Trial
Coursera
Python for Data Visualization: Matplotlib & Seaborn
Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing, Python Programming
4.6
Rating, 4.6 out of 5 stars
77 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera
Python for Data Visualization:Matplotlib & Seaborn(Enhanced)
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization, Data Analysis, Python Programming
4.5
Rating, 4.5 out of 5 stars
30 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
IBM
Data Visualization with Python
Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Data Visualization Software, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Geospatial Information and Technology, Histogram, Seaborn, Data Analysis, Scatter Plots, Jupyter, Geospatial Mapping, Python Programming
4.5
Rating, 4.5 out of 5 stars
12K reviews
Intermediate · Course · 1 - 3 Months

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Status: New
Status: Free Trial
Coursera
Data Visualization Primer: Tools & Techniques
Skills you'll gain: Data Storytelling, Seaborn, Data Visualization, Data Presentation, Matplotlib, Interactive Data Visualization, Dashboard, Statistical Visualization, Histogram, Time Series Analysis and Forecasting, Microsoft Excel, Generative AI, Tableau Software, Data-Driven Decision-Making, Business Intelligence, Data Analysis, Business Analytics, Power BI, Google Sheets, Python Programming
4.6
Rating, 4.6 out of 5 stars
666 reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Python Packages for Data Science
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Data Science, Histogram, Package and Software Management, Data Import/Export, Python Programming
4.6
Rating, 4.6 out of 5 stars
77 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
IBM Data Analyst Capstone Project
Skills you'll gain: Dashboard, Exploratory Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Visualization, Data Wrangling, Data Analysis, Data Presentation, Data Cleansing, Interactive Data Visualization, Data Manipulation, Data Collection, Web Scraping, Data Storytelling, Pandas (Python Package), Scatter Plots, Matplotlib
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Duke University
Data Visualization with Python
Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Statistical Visualization, Interactive Data Visualization, Plot (Graphics), Plotly, Matplotlib, Data Presentation, Dashboard, Seaborn, Tableau Software, Scatter Plots, Heat Maps, Histogram, Google Sheets, Data Analysis, Python Programming, Cloud Applications, Business Communication
4.2
Rating, 4.2 out of 5 stars
25 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera
Exploratory Data Analysis With Python and Pandas
Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis, Python Programming
4.5
Rating, 4.5 out of 5 stars
444 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera
Logistic Regression with NumPy and Python
Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms
4.5
Rating, 4.5 out of 5 stars
396 reviews
Beginner · Guided Project · Less Than 2 Hours

Searches related to seaborn

seaborn: visualizing basics to advanced statistical plots

seaborn with python: data visualization for beginners

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python for data visualization: matplotlib & seaborn

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

Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera
Data Analysis with Python: IBM
Python for Data Visualization - A Beginner's Guide: Packt
Python for Data Visualization: Matplotlib & Seaborn: Coursera
Python for Data Visualization:Matplotlib & Seaborn(Enhanced): Coursera
Data Visualization with Python: IBM
Data Visualization Primer: Tools & Techniques: Coursera
Python Packages for Data Science: University of Colorado Boulder
IBM Data Analyst Capstone Project: IBM
Data Visualization with Python: Duke University

Frequently Asked Questions about Seaborn

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.‎

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.‎

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.‎

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.