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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

    • R

      Rice University

      Финансы для нефинансистов

      Skills you'll gain: Capital Budgeting, Finance, Financial Analysis, Financial Modeling, Corporate Finance, Business Valuation, Financial Management, Return On Investment, Cash Flows, Spreadsheet Software, Financial Statements, Investment Management, Risk Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Copenhagen

      Søren Kierkegaard - Subjectivity, Irony and the Crisis of Modernity

      Skills you'll gain: Liberal Arts, Sociology, European History, Research, Ethical Standards And Conduct, Writing, Political Sciences

      4.8
      Rating, 4.8 out of 5 stars
      ·
      715 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Evidence-based Toxicology

      Skills you'll gain: Verification And Validation, Environmental Science, Research, Safety Assurance, Scientific Methods, Laboratory Research, Biostatistics, Bioinformatics, Research Methodologies, Research Design, Epidemiology, Risk Analysis, Data Synthesis, Statistical Methods, Statistical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      119 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Understanding and Visualizing Data with Python

      Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Histogram, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Cape Town

      Large Marine Ecosystems: Assessment and Management

      Skills you'll gain: Environment and Resource Management, Natural Resource Management, Environmental Management Systems, Environmental Science, Water Resources, Social Sciences, Environmental Policy, Governance, Environmental Monitoring, Socioeconomics, International Relations, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      304 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Mechanics of Materials II: Thin-Walled Pressure Vessels and Torsion

      Skills you'll gain: Structural Engineering, Structural Analysis, Mechanical Engineering, Engineering Analysis, Mechanical Design, Torque (Physics), Engineering, Engineering Design Process, Engineering Calculations, Mechanics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      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
      ·
      180 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      Macquarie University

      스토리텔링과 영향력: 임팩트 있게 소통하라

      Skills you'll gain: Persuasive Communication, Influencing, Storytelling, Communication, Rapport Building, Leadership, Stakeholder Communications, Verbal Communication Skills, Meeting Facilitation, Overcoming Objections, Presentations, Conflict Management, Non-Verbal Communication

      Mixed · Course · 1 - 3 Months

    • P

      Politecnico di Milano

      Water: an essential resource

      Skills you'll gain: Water Resources, Environmental Engineering, Sanitation, Environmental Monitoring, Civil Engineering, Environment and Resource Management, Environmental Science, Chemical Engineering, Pollution Prevention, Human Centered Design, Risk Analysis, Continuous Monitoring, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • B

      Ball State University

      Introduction to Programming

      Skills you'll gain: Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, NumPy, Debugging, Data Manipulation

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of London

      모두를 위한 머신 러닝

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Computer Vision, Data Literacy, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pohang University of Science and Technology(POSTECH)

      Ferrous Technology I

      Skills you'll gain: Manufacturing Processes, Manufacturing and Production, Production Process, Chemical Engineering, Process Engineering, Engineering, Process Analysis, Chemistry, Physical Science, Environmental Issue

      4.7
      Rating, 4.7 out of 5 stars
      ·
      698 reviews

      Beginner · Course · 1 - 3 Months

    Seaborn learners also search

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    1…456…12

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

    • Финансы для нефинансистов: Rice University
    • Søren Kierkegaard - Subjectivity, Irony and the Crisis of Modernity: University of Copenhagen
    • Evidence-based Toxicology: Johns Hopkins University
    • Understanding and Visualizing Data with Python: University of Michigan
    • Large Marine Ecosystems: Assessment and Management: University of Cape Town
    • Mechanics of Materials II: Thin-Walled Pressure Vessels and Torsion: Georgia Institute of Technology
    • Analyze Box Office Data with Seaborn and Python: Coursera Project Network
    • 스토리텔링과 영향력: 임팩트 있게 소통하라: Macquarie University
    • Water: an essential resource: Politecnico di Milano
    • Introduction to Programming: Ball State University

    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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