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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

    • H

      H2O.ai

      DataPrep for H2O Driverless AI

      Skills you'll gain: Supervised Learning, Machine Learning, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Getting Started with Security Command Center Enterprise

      Skills you'll gain: Threat Detection, Vulnerability Management, Cyber Threat Hunting, Vulnerability Assessments, Cloud Security, Multi-Cloud, Intrusion Detection and Prevention, Threat Management, Google Cloud Platform, Enterprise Security

      Intermediate · 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: New
      New
      B

      Banco Interamericano de Desarrollo

      Saneamiento óptimo: un paradigma integral y sostenible

      Skills you'll gain: Sanitation, Water Resources, Environmental Engineering, Environment and Resource Management, Governance, Community Development, Economic Development, Innovation, Public Health, Emerging Technologies, Technology Solutions, Digital Transformation

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Python Fundamentals and Data Science Essentials

      Skills you'll gain: Matplotlib, Data Visualization, Linear Algebra, NumPy, Seaborn, Pandas (Python Package), Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Data Analysis, Data Manipulation, Classification And Regression Tree (CART), Regression Analysis, Data Structures

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Analyze Data in Azure ML Studio

      Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Matplotlib, Feature Engineering, Scatter Plots, Data Analysis, Statistics, Exploratory Data Analysis, Seaborn, Data Visualization Software, Correlation Analysis, Applied Machine Learning

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      C

      Coursera Project Network

      Scripting with Alteryx: Python and R for Advanced Workflows

      Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, Advanced Analytics, Trend Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Analysis, Employee Retention, Data Transformation, Risk Modeling

      Intermediate · Guided Project · Less Than 2 Hours

    • R

      Rice University

      조직 내에서 다양성, 형평성, 포용성의 정의

      Skills you'll gain: Diversity Equity and Inclusion Initiatives, Diversity and Inclusion, Diversity Awareness, Cultural Diversity, Organizational Development, Organizational Effectiveness, Demography, Human Resource Strategy

      Intermediate · Course · 1 - 3 Months

    • 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: Free
      Free
      A

      Amazon Web Services

      Getting Started with Amazon Neptune

      Skills you'll gain: Amazon Web Services, Databases, Database Management, Database Administration, NoSQL, Database Architecture and Administration, Technical Design

      Beginner · Course · 1 - 4 Weeks

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

    • DataPrep for H2O Driverless AI: H2O.ai
    • Getting Started with Security Command Center Enterprise: Google Cloud
    • Deep Learning with Real-World Projects: Packt
    • Conducting Exploratory Data Analysis: Coursera Project Network
    • BiteSize Python for Intermediate Learners: University of Colorado Boulder
    • Saneamiento óptimo: un paradigma integral y sostenible: Banco Interamericano de Desarrollo
    • Python Fundamentals and Data Science Essentials: Packt
    • Analyze Data in Azure ML Studio: Coursera Project Network
    • Scripting with Alteryx: Python and R for Advanced Workflows: Coursera Project Network
    • 조직 내에서 다양성, 형평성, 포용성의 정의: Rice 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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