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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

    • L

      Lund University

      Introduction to Particle Accelerators (NPAP MOOC)

      Skills you'll gain: Radiation Protection, Radiography, Semiconductors, Radiology, Physics, Emerging Technologies, Medical Imaging, Electrical Engineering, X-Ray Computed Tomography, Laboratory Experience, Science and Research, Simulation and Simulation Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      200 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Python for Data Analytics

      Skills you'll gain: Pandas (Python Package), Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting

      Beginner · Course · 1 - 3 Months

    • U

      University of Amsterdam

      The Social Dimensions of Antimicrobial Resistance

      Skills you'll gain: Social Sciences, Surveys, Scientific Methods, Socioeconomics, Infectious Diseases, Community Health, Health Systems, Public Health, Health Policy, Governance, Systems Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Cultivating a Scriptural Imagination

      Skills you'll gain: Storytelling, Teaching, Community Development, Discussion Facilitation, Research, Cultural Diversity

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      First Steps in Easil

      Skills you'll gain: Project Design, Promotional Materials, Marketing Materials, Advertising, Social Media Content, User Accounts

      Beginner · Guided Project · Less Than 2 Hours

    • U

      Universitat de Barcelona

      Strategies for winning. Meteorology in a round the world regatta

      Skills you'll gain: Safety Assurance, Mathematical Modeling, Predictive Modeling, Time Series Analysis and Forecasting, Global Positioning Systems, Water Resources, Telecommunications, Risk Control

      4.5
      Rating, 4.5 out of 5 stars
      ·
      140 reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

      Skills you'll gain: Google Cloud Platform, Tensorflow, Kubernetes, Scalability, Application Deployment, Image Analysis, Cloud Computing, MLOps (Machine Learning Operations), System Monitoring

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Developing and Managing Sustainable Supply Chains

      Skills you'll gain: Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Supply Chain Management, Supply Chain, Sustainability Reporting, Strategic Sourcing, Business Technologies, Logistics Management, Reverse Logistics, Transportation Operations, Supplier Management, Waste Minimization, Digital Transformation, Product Lifecycle Management, Innovation

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • T

      Technical University of Denmark (DTU)

      Ash-Related Operational Challenges in Energy Utilization of Sustainable Fuels

      Skills you'll gain: Energy and Utilities, Chemistry, Waste Minimization, Chemical Engineering, Process Engineering, Thermal Management, Environmental Engineering, Failure Analysis, Manufacturing Processes, Laboratory Testing, Mathematical Modeling, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Cloud Spanner - Defining Schemas and Understanding Query Plans

      Skills you'll gain: Operational Databases, Database Administration, Database Management, Relational Databases, Query Languages, Database Design, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Moving, Shooting, and Debugging in GameMaker

      Skills you'll gain: Video Game Development, Game Design, Debugging, Computer Programming, Animations, Event-Driven Programming, Scripting

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

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

      University of Colorado Boulder

      BiteSize Python: Data Visualization

      Skills you'll gain: Matplotlib, Plotly, Seaborn, Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Scatter Plots, Box Plots, Heat Maps, Histogram

      Intermediate · Course · 1 - 3 Months

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

    • Introduction to Particle Accelerators (NPAP MOOC): Lund University
    • Python for Data Analytics: DeepLearning.AI
    • The Social Dimensions of Antimicrobial Resistance: University of Amsterdam
    • Cultivating a Scriptural Imagination: Duke University
    • First Steps in Easil: Coursera Project Network
    • Strategies for winning. Meteorology in a round the world regatta : Universitat de Barcelona
    • Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
    • Developing and Managing Sustainable Supply Chains: University of Colorado Boulder
    • Ash-Related Operational Challenges in Energy Utilization of Sustainable Fuels: Technical University of Denmark (DTU)
    • Cloud Spanner - Defining Schemas and Understanding Query Plans: Google Cloud

    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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