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  • Seaborn

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


  • C

    Coursera

    Seaborn: Visualizing Basics to Advanced Statistical Plots

    Skills you'll gain: Seaborn, Data Storytelling, Data Presentation, Statistical Visualization, Data Visualization, Data Literacy, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    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, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    78 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • I

    IBM

    Data Analysis with Python

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Predictive Modeling, Data Cleansing, Data Preprocessing, Model Evaluation, Predictive Analytics, Pandas (Python Package), Regression Analysis, Feature Engineering, Statistical Analysis, Matplotlib, Scikit Learn (Machine Learning Library), Data Visualization, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    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, Data Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • I

    IBM

    Data Visualization with Python

    Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Data Visualization Software, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Geospatial Information and Technology, Histogram, Seaborn, Data Analysis, Scatter Plots, Jupyter, Geospatial Mapping, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Analyze Box Office Data with Seaborn and Python

    Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications

    4.5
    Rating, 4.5 out of 5 stars
    ·
    182 reviews

    Intermediate · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera

    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, NumPy, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    445 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    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, Package and Software Management, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    78 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Data Visualization with Python

    Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Statistical Visualization, Interactive Data Visualization, Plot (Graphics), Plotly, Matplotlib, Data Presentation, Dashboard, Seaborn, Tableau Software, Scatter Plots, Heat Maps, Histogram, Google Sheets, Data Analysis, Python Programming, Cloud Applications, Business Communication

    4.2
    Rating, 4.2 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    IBM Data Analyst Capstone Project

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Visualization & Storytelling in Python

    Skills you'll gain: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization, Data Visualization Software, Statistical Visualization, Scatter Plots

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

Searches related to seaborn

seaborn: visualizing basics to advanced statistical plots
seaborn with python: data visualization for beginners
python for data visualization: matplotlib & seaborn
matplotlib and seaborn
1234…16

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

  • Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera
  • Python for Data Visualization: Matplotlib & Seaborn: Coursera
  • Data Analysis with Python: IBM
  • Python for Data Visualization:Matplotlib & Seaborn(Enhanced): Coursera
  • Data Visualization with Python: IBM
  • Analyze Box Office Data with Seaborn and Python: Coursera
  • Exploratory Data Analysis With Python and Pandas: Coursera
  • Python Packages for Data Science: University of Colorado Boulder
  • Data Visualization with Python: Duke University
  • IBM Data Analyst Capstone Project: IBM

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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