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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
      E

      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

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

      University of Colorado Boulder

      BiteSize Python: Data Visualization

      Skills you'll gain: Matplotlib, Plotly, Seaborn, Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Scatter Plots, Box Plots, Heat Maps, Histogram

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      ADP AIRS® Entry-Level Recruiter

      Skills you'll gain:

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Creating Impactful Data Visualizations with Generative AI

      Skills you'll gain: Data Storytelling, Data Presentation, Generative AI, Data Ethics, Prompt Engineering, Interactive Data Visualization, Plotly, Data Visualization Software, Data-Driven Decision-Making, Matplotlib, Seaborn, Artificial Intelligence, Automation, Data Integrity

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 4 of our most popular seaborn courses

    • Python and Statistics Foundations: Edureka
    • BiteSize Python: Data Visualization: University of Colorado Boulder
    • ADP AIRS® Entry-Level Recruiter: Automatic Data Processing, Inc. (ADP)
    • Creating Impactful Data Visualizations with Generative AI: Coursera Instructor Network

    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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