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

IBM
Data Visualization with Python
Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Data Visualization Software, Data Visualization, Plot (Graphics), Dashboard, Interactive Data Visualization, Dashboard Creation, Matplotlib, Graphing, Geospatial Information and Technology, Histogram, Spatial Data Analysis, Seaborn, Data Analysis, Scatter Plots, Python Programming
4.5 stars, 12K reviews, Intermediate, Course, 1 - 3 Months
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 Visualization Software, Matplotlib, Plot (Graphics), Statistical Analysis, Python Programming
Beginner · Course · 1 - 4 Weeks
Status: Free trial
EDUCBA
Seaborn Python Data Visualization & Analysis
Skills you'll gain: Data Storytelling, Seaborn, Exploratory Data Analysis, Plot (Graphics), Matplotlib, Data Visualization, Scatter Plots, Data Visualization Software, Interactive Data Visualization, Regression Analysis, Statistical Visualization, Box Plots, Descriptive Statistics, Data Presentation, Data-Driven Decision-Making, Data Analysis, Statistical Reporting, Statistical Analysis, Pivot Tables And Charts, Python Programming
4.4 stars, 23 reviews, Beginner, Specialization, 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, Scientific Visualization, Interactive Data Visualization, Statistical Visualization, Exploratory Data Analysis, Graphing, Python Programming
4.6 stars, 79 reviews, Beginner, Guided Project, Less Than 2 Hours
Status: Free trial
Unlock 3 months of Google AI Pro at no extra cost today.
Get started
Logical Operations
Python Data Science: pandas, Matplotlib, and Seaborn
Skills you'll gain: Seaborn, Matplotlib, Data Transformation, Plot (Graphics), Pandas (Python Package), Data Manipulation, Data Visualization Software, NumPy, Data Visualization, Data Analysis, Scatter Plots, Data Science, Jupyter, Graphing, Data Processing, Box Plots, Python Programming, Computer Programming, Computer Programming Tools, Software Development
Mixed · Course · 1 - 4 Weeks
Status: Free trial
What brings you to Coursera today?
Start my career
Change my career
Grow in my current role
Explore topics outside of work
IBM
Data Analysis with Python
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Cleansing, Data Preprocessing, Data Manipulation, Data Analysis, Data Processing, Model Training, Scatter Plots, Statistical Analysis, Predictive Modeling, Regression Analysis, Statistical Methods, Data Transformation, Feature Engineering, Data Import/Export, Scientific Visualization, Data Visualization, Python Programming
4.7 stars, 20K reviews, Intermediate, Course, 1 - 3 Months
Status: Free trial
Coursera
Python for Data Visualization:Matplotlib & Seaborn(Enhanced)
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Graphing, Statistical Visualization, Data Analysis, Python Programming
4.5 stars, 30 reviews, Beginner, Guided Project, Less Than 2 Hours
Packt
AI & Python Development Megaclass
Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Statistical Machine Learning, Recurrent Neural Networks (RNNs), Object Oriented Design, Convolutional Neural Networks, Machine Learning Methods, Plot (Graphics), Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Python Programming, Deep Learning
Beginner · Specialization · 3 - 6 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, Statistical Visualization, Data Wrangling, Data Science, Package and Software Management, Exploratory Data Analysis, Python Programming
4.6 stars, 79 reviews, Intermediate, Course, 1 - 4 Weeks
Status: Free trial
EDUCBA
Machine Learning with Python and TensorFlow
Skills you'll gain: Matplotlib, Feature Engineering, Data Preprocessing, NumPy, Plot (Graphics), Tensorflow, Pandas (Python Package), Data Visualization, Model Training, Statistical Visualization, Data Wrangling, Jupyter, Applied Machine Learning, Seaborn, Statistical Machine Learning, Data Engineering, Machine Learning, Development Environment, Network Model, Network Engineering
Beginner · Specialization · 1 - 3 Months
Category: New
Status: Free trial
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, Code Reusability, Data Visualization, Statistical Visualization, Programming Principles, Computer Programming, Data Wrangling, Data Manipulation, Functional Design, Data Science, Package and Software Management, Python Programming, Exploratory Data Analysis, Computational Logic, Software Engineering
4.7 stars, 315 reviews, Beginner, Specialization, 1 - 3 Months
Status: Free trial

EDUCBA
Seaborn with Python: Data Visualization for Beginners
Skills you'll gain: Seaborn, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Visualization, Data Presentation, Data Visualization Software, Interactive Data Visualization, Box Plots, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Python Programming
4.4 stars, 23 reviews, Beginner, Course, 1 - 4 Weeks
Status: Free trial

Best Seaborn courses from Coursera

Top-rated Seaborn courses offered by Coursera on Coursera.

Seaborn: Visualizing Basics to Advanced Statistical Plots
CourseraBeginner1 - 4 WeeksCoursera
Python for Data Visualization: Matplotlib & Seaborn
CourseraBeginnerLess Than 2 HoursCoursera
Python for Data Visualization:Matplotlib & Seaborn(Enhanced)
CourseraBeginnerLess Than 2 HoursCoursera

Best Seaborn certificate programs

Earn a certificate in Seaborn from top universities and companies.

Seaborn Python Data Visualization & Analysis
EDUCBABeginner1 - 3 MonthsSpecialization
AI & Python Development Megaclass
PacktBeginner3 - 6 MonthsSpecialization
Machine Learning with Python and TensorFlow
EDUCBABeginner1 - 3 MonthsSpecialization

Best Seaborn courses for beginners

Top-rated beginner-friendly Seaborn courses with no prerequisites.

Expressway to Data Science: Python Programming
University of Colorado BoulderBeginner1 - 3 MonthsNo prerequisites
Seaborn with Python: Data Visualization for Beginners
EDUCBABeginner1 - 4 WeeksNo prerequisites

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.