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

Packt
Prerequisites and Advanced Machine Learning for NLP
Skills you'll gain: Matplotlib, Pandas (Python Package), Data Visualization, NumPy, Linear Algebra, Deep Learning, Natural Language Processing, Data Manipulation, Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Data Processing, Artificial Neural Networks, Data Structures, Regression Analysis
Intermediate · Course · 1 - 3 Months
Edureka
Python and Statistics Foundations
Skills you'll gain: Matplotlib, Probability & Statistics, Plotly, Statistical Analysis, Statistical Methods, Data Visualization Software, Statistical Hypothesis Testing, Data Manipulation, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Exploratory Data Analysis, Probability, Python Programming
Beginner · Course · 1 - 4 Weeks
H2O.ai
H2O GPTe Learning Path
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Web Applications, Artificial Intelligence, Data Processing, Information Architecture, Application Programming Interface (API), Natural Language Processing, Automation, Data Analysis
Intermediate · Course · 1 - 3 Months
Siemens
응용 전산 유체 역학
Skills you'll gain: Engineering Analysis, Thermal Management, Simulation and Simulation Software, Finite Element Methods, Engineering Calculations, Simulations, Mechanical Engineering, Hydraulics, Numerical Analysis, Engineering, Mathematical Modeling, Differential Equations, Structural Analysis, Visualization (Computer Graphics), Scientific Visualization, Physics
Intermediate · Course · 1 - 3 Months
Packt
Deep Learning with Real-World Projects
Skills you'll gain: Matplotlib, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Data Visualization Software, Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, PyTorch (Machine Learning Library), Jupyter, Python Programming
Beginner · Specialization · 3 - 6 Months
Status: Free
DeepLearning.AI
LLMs as Operating Systems: Agent Memory
Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence, System Design and Implementation, Software Design Documents, Computer Architecture, Open Source Technology, Record Keeping
Intermediate · Project · Less Than 2 Hours
University of Pennsylvania
Intro to Data Analytics, SQL, and EDA Using Python
Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Database Management, Data Visualization Software, Data Storage, Data Storage Technologies, Pandas (Python Package), Big Data, Data Science, Relational Databases, Data Manipulation, Data Cleansing, NumPy
Beginner · Course · 1 - 4 Weeks
University of Pennsylvania
How to Use Data
Skills you'll gain: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Seaborn, Tableau Software, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Interactive Data Visualization, Database Management, Verbal Communication Skills, Statistical Visualization, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning
Beginner · Specialization · 1 - 3 Months
H2O.ai
H2O Gen AI Ecosystem Overview - Level 2
Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Real Time Data, Feature Engineering, Applied Machine Learning, Performance Tuning, Deep Learning, Data Processing, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks
H2O.ai
DataPrep for H2O Driverless AI
Skills you'll gain: Supervised Learning, Machine Learning, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Feature Engineering, Pandas (Python Package), Data Transformation, Data Processing, Statistical Analysis, Regression Analysis
Beginner · Course · 1 - 4 Weeks
Packt
Python Fundamentals and Data Science Essentials
Skills you'll gain: Matplotlib, Linear Algebra, NumPy, Data Visualization Software, Seaborn, Pandas (Python Package), Machine Learning, Supervised Learning, Data Analysis, Jupyter, Python Programming, Data Manipulation, Programming Principles, Regression Analysis, Data Structures
Beginner · Course · 1 - 3 Months
Packt
Finalizing the Windmill and Integrating with Unreal Engine 5
Skills you'll gain: 3D Modeling, Visualization (Computer Graphics), Computer Graphics, Virtual Environment, Data Import/Export
Advanced · Course · 1 - 3 Months