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    • Seaborn

    Seaborn Courses Online

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

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    Explore the Seaborn Course Catalog

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      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, Business Analytics, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Plots Creation using Matplotlib Python

      Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Presentation, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Structures

      3.9
      Rating, 3.9 out of 5 stars
      ·
      9 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Python Fundamentals

      Skills you'll gain: Matplotlib, Financial Data, Exploratory Data Analysis, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Data Science, Data Transformation, Python Programming, Data Cleansing, Computer Programming

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Statistical Learning

      Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Methods, Statistical Machine Learning, Regression Analysis, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • U

      University at Buffalo

      재생 에너지: 기본 원칙 및 일자리 창출

      Skills you'll gain: Building Design, Energy and Utilities, Architectural Design, Sustainability Reporting, Environment, Environmental Science, Electrical Power, Environmental Engineering, Electric Power Systems, Workforce Development, Technology Solutions, Professional Development, Emerging Technologies, Semiconductors

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Emphasizing Christian Formation

      Skills you'll gain: Education and Training, Adult Education, Community Outreach, Higher Education, Community Development, Compassion, Lifelong Learning, Discussion Facilitation, Growth Mindedness, Innovation

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Machine Learning Methods, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Conducting Exploratory Data Analysis

      Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      BiteSize Python for Intermediate Learners

      Skills you'll gain: Matplotlib, Object Oriented Programming (OOP), Plotly, Seaborn, Data Visualization Software, Object Oriented Design, Pandas (Python Package), NumPy, Statistical Visualization, Interactive Data Visualization, Software Documentation, Scatter Plots, Box Plots, Data Structures, Maintainability, Programming Principles, Software Design, Data Import/Export, Data Manipulation, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Parenting and More GameMaker Language Code

      Skills you'll gain: Video Game Development, Game Design, Scripting Languages, Unity Engine, C++ (Programming Language), Object Oriented Programming (OOP), C# (Programming Language), Computational Logic, Data Structures, Computer Programming, Debugging

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Python for Data Visualization and Analysis

      Skills you'll gain: Data Visualization, Exploratory Data Analysis, Matplotlib, Data Visualization Software, Seaborn, Statistical Visualization, Interactive Data Visualization, Plotly, Dashboard, Scatter Plots, Data Analysis, Pandas (Python Package), Histogram, Box Plots, Jupyter, NumPy, Web Applications

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      رسوم متحركه ثنائية الأبعاد في Unity باستخدام Sprite Sheets

      Skills you'll gain: Unity Engine, Animation and Game Design, Animations, Video Game Development, Game Design, Computer Graphics

      Beginner · Course · 1 - 4 Weeks

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

    • Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
    • Plots Creation using Matplotlib Python: Coursera Project Network
    • Python Fundamentals: Corporate Finance Institute
    • Statistical Learning: Illinois Tech
    • 재생 에너지: 기본 원칙 및 일자리 창출: University at Buffalo
    • Emphasizing Christian Formation: Duke University
    • Deep Learning with Real-World Projects: Packt
    • Conducting Exploratory Data Analysis: Coursera Project Network
    • BiteSize Python for Intermediate Learners: University of Colorado Boulder
    • Parenting and More GameMaker Language Code: University of Colorado System

    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.

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