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.

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Explore the Seaborn Course Catalog

Coursera Project Network
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
4.6
Rating, 4.6 out of 5 stars
67 reviews
Beginner · Guided Project · Less Than 2 Hours
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
4.5
Rating, 4.5 out of 5 stars
12K reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
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
4.6
Rating, 4.6 out of 5 stars
25 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Instructor Network
Seaborn: Visualizing Basics to Advanced Statistical Plots
Skills you'll gain: Seaborn, Data Storytelling, Statistical Visualization, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Heat Maps, Histogram
Beginner · Course · 1 - 4 Weeks
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, Data Import/Export, Package and Software Management, Python Programming
4.5
Rating, 4.5 out of 5 stars
72 reviews
Intermediate · Course · 1 - 4 Weeks
Yale University
A Journey through Western Christianity: from Persecuted Faith to Global Religion (200 - 1650)
Skills you'll gain: Ancient History, World History, European History, Culture, Cultural Diversity, Art History, Liberal Arts, Storytelling, Higher Education
4.8
Rating, 4.8 out of 5 stars
679 reviews
Beginner · Course · 1 - 3 Months
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, Pandas (Python Package), Data Manipulation
4.1
Rating, 4.1 out of 5 stars
24 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Logistic Regression with NumPy and Python
Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Machine Learning, Python Programming, Supervised Learning, Regression Analysis, Algorithms
4.5
Rating, 4.5 out of 5 stars
393 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
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
4.5
Rating, 4.5 out of 5 stars
435 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Wesleyan University
Creative Writing
Skills you'll gain: Storytelling, Peer Review, Writing and Editing, Writing, Editing, Proofreading, Storyboarding, Content Creation, Constructive Feedback, Creativity, Persistence, Professionalism
4.6
Rating, 4.6 out of 5 stars
6.2K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
ETL and Data Pipelines with Shell, Airflow and Kafka
Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Real Time Data, Data Cleansing, Big Data, Performance Tuning, Scalability
4.5
Rating, 4.5 out of 5 stars
412 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
Applied Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Web Scraping, Automation, Data Science, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
58K reviews
Beginner · Specialization · 3 - 6 Months

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

Python for Data Visualization: Matplotlib & Seaborn: Coursera Project Network
Data Visualization with Python: IBM
Python for Data Visualization:Matplotlib & Seaborn(Enhanced): Coursera Project Network
Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera Instructor Network
Python Packages for Data Science: University of Colorado Boulder
A Journey through Western Christianity: from Persecuted Faith to Global Religion (200 - 1650) : Yale University
Data Visualization with Python: Duke University
Logistic Regression with NumPy and Python: Coursera Project Network
Exploratory Data Analysis With Python and Pandas: Coursera Project Network
Creative Writing: Wesleyan University

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