Data Visualisation with Python Training | WSQ Courses

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Data visualisation is both an art and a science. Data Visualisation and communicate data or information by encoding through visual representation. Python has a number of powerful data visualisation libraries such as Matplotlib, Seaborn, Bokeh and Geoplotlib. Matplotlib is a fundamental and powerful visualisation tool in Python. Seaborn is a popular data visualisation library that is built on top of Matplotlib. Seaborn’s default styles and color palettes are much more sophisticated than Matplotlib. Bokeh is native to Python, and based on The Grammar of Graphics like ggolot. Bokeh supports streaming, and real-time data and its unique selling proposition is its ability to create interactive, web-ready plots, which can easily output as JSON objects, HTML documents, or interactive web applications. Geoplotlib is a Python toolbox used for plotting geographical data and map creation. It can be used to create a variety of map-types, like choropleths, heatmaps, and dot density map

Course Highlights

  • Basic plots using Matplotlib
  • Beautifying Visualisation using Seaborn
  • Geospatial Visualisation using Bokeh


All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course


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