Matplotlib and Seaborn Data Visualisation – Level 5 Course

Matplotlib and Seaborn complement one another. Matplotlib provides detailed control over figures, axes and chart elements, while Seaborn offers a higher-level interface for statistical graphics and works on top of Matplotlib.

This programme develops both areas across eight modules. You will begin with fundamental chart creation before progressing into more advanced Matplotlib techniques, dedicated Seaborn study, statistical plotting, styling and complex datasets.

The final module brings the main ideas together in an applied visualisation project. The focus is not just on producing charts, but on selecting visual forms that help readers interpret patterns, comparisons and relationships accurately.

Who Should Study This Course?

The programme may suit data analysts, Python learners, data-science students, researchers, business-intelligence practitioners and others who want greater depth in Python-based visualisation.

Free Introduction or Level 5 Programme?

If you are new to plotting, our free Matplotlib and Seaborn course provides a 200-hour introduction across three modules.

This Level 5 programme is the broader route. It has eight modules and adds dedicated Seaborn study, statistical visualisation, complex datasets, styling and a final project.

Related Reading

For a practical supporting guide, see our article on using Matplotlib, Seaborn and visualisation tools in Google Colab.

Frequently Asked Questions

What does this Matplotlib and Seaborn course cover?

It covers Matplotlib fundamentals, advanced plotting, Seaborn, statistical plots, styling, complex datasets and a final real-world data visualisation project.

What is matplotlib pyplot?

matplotlib pyplot, commonly imported as plt, is the plotting interface used for many Matplotlib workflows.

How are Matplotlib and Seaborn different?

Matplotlib provides extensive control over figures and plot elements. Seaborn is built on Matplotlib and provides higher-level tools for statistical graphics.

Does the course include statistical data visualisation?

Yes. The syllabus includes a dedicated module on Seaborn statistical plots, including histograms, box plots and heatmaps.

How long does the course take?

The estimated study duration is 450 hours and the programme is self-paced.

What certificates are included?

The course includes a CPD Accredited PDF Certificate and an Endorsed QLS Certificate in PDF format after successful completion.

Is this an Ofqual-regulated Level 5 qualification?

No regulated status is established for this programme. CPD accreditation and QLS endorsement should not be treated as equivalent to Ofqual regulation.

Can I start with a free option first?

Yes. The free introductory course is the more appropriate starting point if you want foundational plotting study before progressing to this longer programme.