Data Visualisation with Python Training Course

Learn data visualisation and storytelling techniques with Matplotlib, Seaborn, Plotly and GeoPandas

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Customise this course for your team

We can tailor your syllabus to take into account your group's current skills, technology stack, and specific learning goals - as part of a wider training programme or as a standalone workshop.

Enquire now to find out about our cost-effective options:

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Data Visualisation with Python Training Course

"Mixture of lecture and tutorial content. "Learn by doing""

Data Science with Python Training Programmes
JD, Data Scientist
Winton Capital

Data Visualisation with Python Training Course

" Course was very relevant, and all the basic topics were covered. Good pace. "

Data Science with Python Training Programmes
MFA, Data Analyst [Remote online course]
ActiveViam

Data Visualisation with Python Training Course

" The Jupyter notebooks were really handy, and I liked the group work using the breakout room feature of Zoom. Although the participants were from different backgrounds, Marco handled this very well by constantly checking if anyone has questions, adding explanations and making sure that the pace is right for the group. "

Data Science with Python Training Programmes
FSK, Data Analyst [Remote online course]
ActiveViam

Data Visualisation with Python Training Course

" It was very good. In particular the separated chat rooms used for some of the exercises worked very well. "

Data Science with Python Training Programmes
JHO, Data Analyst [Remote online course]
ActiveViam

Data Visualisation with Python Training Course

"Well-paced and clear demonstrations provided. Definitely a plus that it's using our environment for the session."

Elasticsearch Training Course with Kibana
TY, App Support Analyst
Glencore

About the course:

This Data Visualisation with Python training course is a practical two-day workshop designed to enhance the visual presentation and storytelling skills of Python analysts. 

You'll be introduced to the theory and best practices of data visualisation before progressing through a systematic exploration of Python’s foundational plotting libraries including Matplotlib, Pandas plotting, and Seaborn

As the course unfolds, you will advance to more sophisticated tools such as Plotly and GeoPandas, extending your capabilities for creating dynamic and geospatial visualisations.

The training will culminate in a practical project where attendees will learn to deploy their visualisations using Streamlit, enabling them to share insights and empower their audience to drill-down and explore the data further in an interactive web-based environment.

Throughout the course, engaging examples and exercises based on the Gapminder dataset of world indicators will reinforce learning, ensuring that theoretical concepts and technical skills are consolidated with hands-on experience of applying these to real-world data.

This Data Vis course is aimed at those already familiar with Pandas, who are looking to elevate their data presentation and storytelling skills.

We're happy to offer this instructor-led Data Analytics training online; in-person at our London training centre, or at your location of choice. Please get in touch to find out about flexible options to suit your team.


Case study: Python training programme for CERN

CERN in Geneva, the largest particle physics laboratory in the world, selected Framework Training after identifying a need for Python training for a diverse range of staff across the organisation.

Find out more about our journey.


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Public Courses Dates and Rates

Standard duration: 2 Days

13th Jan 2025 - £1295.00
14th Apr 2025 - £1295.00

All prices are excluding VAT.

If our published dates don’t work for you, please get in touch – we are happy to explore scheduling additional courses.

Book or reserve a space

Secure or reserve a space on a public scheduled course date.

Interested in this course?

If you want to explore how you can tailor this course for your organisation, want to sign up for our newsletter, or have any other questions then please speak to us on 020 3137 3920 or get in touch using this form.

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