Python Visualisation using Matplotlib, Seaborn, and Plotly

As the saying goes - a picture is worth a thousand words. Data visualization helps to tell stories by converting your data into a visual format that is easily understood by your intended audience. In this course, you will learn how to use the various visualization libraries in Python to plot beautiful charts.


    Topics

    • Introduction to Matplotlib
      • Line charts
      • Pie charts
      • Scatterplots
      • Dynamic charts
    • Introduction to Seaborn
      • Plotting different charts using Seaborn
      • Using Seaborn for EDA
    • Introduction to Plotly
      • Creating interactive plots
      • Creating Geo-Spatial plots

    You should attend this course if:

    • You are getting started with data science
    • You want to learn the various visualization libraries available in Python
    Wei-Meng Lee

    Wei-Meng Lee is a technologist and founder of Developer Learning Solutions (http://www.learn2develop.net), a technology company specializing in hands-on training on the latest mobile technologies. Wei-Meng has many years of training experiences and his training courses place special emphasis on the learning-by-doing approach. His hands-on approach to learning programming makes understanding the subject much easier than reading books, tutorials, and documentations. His name regularly appears in online and print publications such as DevX.com, MobiForge.com, and CoDe Magazine.

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