Top Seaborn Courses - Learn Seaborn Online

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Seaborn Courses Online

Master Seaborn for data visualization in Python. Learn to create informative and attractive statistical graphics.

Explore the Seaborn Course Catalog

Status: Free Trial
IBM
Data Visualization with Python
Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Presentation, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots, Python Programming
4.5
Rating, 4.5 out of 5 stars
12K reviews
Intermediate · Course · 1 - 3 Months
Status: Preview
Coursera
Seaborn: Visualizing Basics to Advanced Statistical Plots
Skills you'll gain: Seaborn, Data Storytelling, Statistical Visualization, Data Visualization, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming
Beginner · Course · 1 - 4 Weeks
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
75 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
Coursera
Logistic Regression with NumPy and Python
Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Python Programming, Supervised Learning, Algorithms
4.5
Rating, 4.5 out of 5 stars
396 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Duke University
Data Visualization with Python
Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Interactive Data Visualization, Plotly, Matplotlib, Dashboard, Seaborn, Tableau Software, Scatter Plots, Histogram, Google Sheets, Microsoft Excel, Data Analysis, Pandas (Python Package), Python Programming, Cloud Applications, Data Manipulation, Business Communication
4.2
Rating, 4.2 out of 5 stars
25 reviews
Intermediate · Course · 1 - 4 Weeks

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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
76 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, Data Manipulation, NumPy, Statistical Analysis, Python Programming
4.5
Rating, 4.5 out of 5 stars
441 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Colorado Boulder
Data Understanding and Visualization
Skills you'll gain: Matplotlib, Statistical Visualization, Seaborn, Data Visualization, Exploratory Data Analysis, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Storytelling, Pandas (Python Package), Statistical Methods, Data Analysis, Statistics, Statistical Analysis, Data Manipulation, Box Plots, Scatter Plots, Correlation Analysis, Python Programming
4.9
Rating, 4.9 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
EDUCBA
Seaborn Python Data Visualization & Analysis
Skills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Data Visualization, Box Plots, Exploratory Data Analysis, Data Storytelling, Data Processing, Data-Driven Decision-Making, Statistical Modeling, Statistical Analysis, Descriptive Statistics, Pandas (Python Package), NumPy, Python Programming
Beginner · Specialization · 1 - 3 Months
Status: New
Status: Free Trial
EDUCBA
Artificial Intelligence with Python: Foundations to Projects
Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Supervised Learning, NumPy, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, Random Forest Algorithm, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Tensorflow, Data Visualization Software, Python Programming, Data Science, Machine Learning, Data Analysis
Beginner · Specialization · 1 - 3 Months
Status: New
Status: Preview
EDUCBA
Master Machine Learning with TensorFlow: Basics to Advanced
Skills you'll gain: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Mixed · Course · 1 - 3 Months

Seaborn learners also search

Beginner Data Analysis

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

Data Visualization with Python: IBM
Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera
Python for Data Visualization: Matplotlib & Seaborn: Coursera
Python for Data Visualization:Matplotlib & Seaborn(Enhanced): Coursera
Logistic Regression with NumPy and Python: Coursera
Data Visualization with Python: Duke University
Python Packages for Data Science: University of Colorado Boulder
Exploratory Data Analysis With Python and Pandas: Coursera
Data Understanding and Visualization: University of Colorado Boulder
Seaborn Python Data Visualization & Analysis: EDUCBA

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.