IBM: Visualizing Data with Python
Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.
✅ 5 weeks – 2–4 hours per week
✅ Self-paced – Progress at your own speed
✅ Free Limited Access Optional upgrade available.
On completion of this course, you should be able to:
✅ Present data using some of the data visualisation libraries in Python, including Matplotlib, Seaborn, and Folium
✅ Use basic visualisation tools, including area plots, histograms, and bar charts
✅ Use specialised visualisation tools, including pie charts, box plots, scatter plots, and bubble plots
✅ Utilise advanced visualisation tools, including waffle charts, word clouds and regression plots
✅ Plot data on maps and visualise geospatial data
