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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

    • 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

    • 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 Project Network

      Analyze Box Office Data with Seaborn and Python

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      179 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free

      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

    • 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
      ·
      71 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • 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

    • University of Colorado Boulder

      Data Understanding and Visualization

      Skills you'll gain: Matplotlib, Seaborn, Data Visualization, Data-Driven Decision-Making, Exploratory Data Analysis, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Storytelling, Pandas (Python Package), Statistical Methods, Data Analysis, Statistics, Statistical Analysis, Data Manipulation, Box Plots, Scatter Plots, Correlation Analysis, Histogram

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Dartmouth College

      Strategic Leadership: Impact, Change, and Decision-Making

      Skills you'll gain: Decision Making, Creativity, Talent Management, Communication, Innovation, Strategic Decision-Making, Personal Development, Curiosity, Professional Networking, Collaboration, Organizational Effectiveness, Team Motivation, Self-Awareness, Crisis Management, Strategic Leadership, Business Leadership, Leadership, Emotional Intelligence, Organizational Leadership, Critical Thinking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      607 reviews

      Beginner · Specialization · 3 - 6 Months

    • 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

    • University of California, Davis

      Beer Quality

      Skills you'll gain: ISO 9000 Series, Food and Beverage, Production Process, Quality Assurance and Control, Quality Management Systems, Good Manufacturing Practices, Biochemistry, Standard Operating Procedure, Risk Control, Safety Assurance, Microbiology, Chemistry, Process Control, Statistical Methods, Laboratory Testing, Manufacturing Processes, Scientific Methods, Systems Of Measurement, Product Testing, Process Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      41 reviews

      Intermediate · 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
    • Analyze Box Office Data with Seaborn and Python: Coursera Project Network
    • Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera Instructor Network
    • Python Packages for Data Science: University of Colorado Boulder
    • Exploratory Data Analysis With Python and Pandas: Coursera Project Network
    • Logistic Regression with NumPy and Python: Coursera Project Network
    • Data Understanding and Visualization: University of Colorado Boulder
    • Strategic Leadership: Impact, Change, and Decision-Making: Dartmouth College

    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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