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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
      U

      University of Pennsylvania

      How to Use Data

      Skills you'll gain: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Seaborn, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Interactive Data Visualization, Database Management, Verbal Communication Skills, Business Analytics, Decision Tree Learning, Classification And Regression Tree (CART)

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Science and Machine Learning with Python

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Seaborn, Python Programming, Machine Learning, NumPy, Natural Language Processing, Supervised Learning, Pandas (Python Package), Artificial Neural Networks, Data Science, Regression Analysis, Data Manipulation, Data Structures

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

      Skills you'll gain: Cloud Computing, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Application Deployment, Continuous Deployment, Load Balancing

      Intermediate · Project · Less Than 2 Hours

    • H

      H2O.ai

      H2O Gen AI Ecosystem Overview - Level 1

      Skills you'll gain: Large Language Modeling, Generative AI, ChatGPT, Prompt Engineering, Artificial Intelligence, Unstructured Data, Data Processing, Application Development, MLOps (Machine Learning Operations)

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Planning, HUDs, and Spawners in GameMaker

      Skills you'll gain: Video Game Development, Game Design, Object Oriented Programming (OOP), Programming Principles, Scripting Languages, User Interface (UI), Animations, Debugging

      Beginner · Course · 1 - 4 Weeks

    • S

      Siemens

      Angewandte numerische Fluiddynamik

      Skills you'll gain: Thermal Management, Hydraulics, Engineering Analysis, Simulations, Numerical Analysis, Engineering, Mathematical Modeling, Physics

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rediscovering Wesleyan Mission

      Skills you'll gain: Community and Social Work, Social Justice, Community Outreach, Public History, Research, Storytelling, Cultural Diversity

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      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

    • C

      Coursera Project Network

      Análisis exploratorio de datos con Python y Pandas

      Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      사람, 기술, 모빌리티의 미래

      Skills you'll gain: Social Sciences, Automation, Economics, Policy, and Social Studies, Socioeconomics, Energy and Utilities, Electric Power Systems, Transportation Operations, Health Equity, Policy Analysis, Emerging Technologies, Technology Roadmaps, Civil Engineering, Electrical Engineering, Augmented and Virtual Reality (AR/VR), Environment, Safety and Security, Information Privacy, Artificial Intelligence

      Beginner · Course · 1 - 3 Months

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

      University of Colorado Boulder

      Impacts of Sustainable Operations and Supply Chains

      Skills you'll gain: Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Sustainability Reporting, Strategic Sourcing, Procurement, Supply Chain Management, Labor Compliance, Compliance Management, Business Reporting, Supplier Management, Ethical Standards And Conduct, Waste Minimization, Product Lifecycle Management, Stakeholder Engagement

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      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

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • How to Use Data: University of Pennsylvania
    • Foundations of Data Science and Machine Learning with Python: Packt
    • Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud
    • H2O Gen AI Ecosystem Overview - Level 1: H2O.ai
    • Planning, HUDs, and Spawners in GameMaker: University of Colorado System
    • Angewandte numerische Fluiddynamik: Siemens
    • Rediscovering Wesleyan Mission: Duke University
    • Data Understanding and Visualization: University of Colorado Boulder
    • Análisis exploratorio de datos con Python y Pandas: Coursera Project Network
    • 사람, 기술, 모빌리티의 미래: University of Michigan

    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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