Data Handling & Networks

Name: Data Handling &amp; Networks
SKU: 1222
Availability: InStock

Start Date: January 12, 2026

Learn how to handle, manipulate and visualise data in Python, elucidating correlations and relationships using network graph theory and its application to biological and medical data.

Price: £600 + VAT

Overview Lecturers Testimonials Enrol Now

This learning stream packages together two modules, where we explore Data Handling techniques and Network Science, and their application to biological and medical data.

Data Handling:

Import and characterisation of data as Pandas DataFrames
Basic statistics
Data visualisation with Matplotlib
Univariate and multivariate analyses
The Pearson correlation coefficient and correlation matrix
Image handling: import and characterisation of image data (greyscale and colour)
Image masking and segmentation
Time series: visualisation, filtering and Fourier transform
Relationships in time series data

Network Science:

The Networks module of L2D covers a wide range of topics within Networks, utilising the powerful and popular networks package NetworkX in Python.

A comprehensive introduction to Network graph theory, and the NetworkX packages in Python
Directed, undirected and bipartite network graphs
Personalised PageRank
Degree and closeness centrality
Using biological datasets: protein-protein interactions in the Breast Cancer Network (BCN) and neural signal propagation in the C. elegans connectome

Note: L2D's Introduction to Python module (or its equivalent) is a compulsory requirement to taking our Data Handling & Network Science course.

Prerequisites: Introduction to Python or equivalent

Location: Online

Start Date: January 12, 2026

Duration: 14 Weeks

Commitment: 56 hours of study

Dr. Laurence Blackhurst

Education and Technology Fellow

Prof. Gerold Baier

Academic Lead

Dr. Adam Lee

Senior Fellow

“Thanks so much to the whole L2D team! I really enjoyed this course, I found it so useful and applied to the biology we do at GSK.”

Aisling Roche

Senior Scientist at GSK

“I enjoyed all aspects of the L2D course, which gave a great insight in to python coding, data analysis and machine learning. I’ve learned a great deal and the course has been highly enjoyable.”

Chris Sayer

Scientist at Abzena, Cambridge

“L2D was very useful for me, in terms of the acquired data handling and machine learning skills, enabling us to compare and contrast different datasets.”

James Sweet-Jones

PhD Student at University College London

“Proud to have passed with 'Flawless' and 'Excellent' feedback, this journey has been a blend of challenge and discovery. The project work was a practical and enriching experience.”

Jo Renaut

PhD Student at the University of Sussex

“I really enjoyed the Training in Data Science & Machine Learning for Health, Disease & Bioscience course, which has been a comprehensive introduction to machine learning (ML) using python programming.”

Molly Went

Analytical Scientist at The Institute of Cancer Research

“I really enjoyed every lesson,... When we started looking at multivariate analyses, we started looking at EEG data and brain scans; that, to me - as a neuroscientist - was very useful.”

Prof. Chris Petkov

Professor of Comparative Neuropsychology at Newcastle University

“It’s been an incredible journey to be part of L2D-June2023. The course, led by the knowledgeable trio of Gerold, Adam and Saba is undeniably of high quality, and I can’t recommend it more. ”

Yanxia Wu

Technology Platforms Manager and Senior Scientist

When does the next course start?

L2D runs two courses per year: one in the Spring and one in the Autumn. For 2025 admission, the Spring course commences on May 12th 2025, and the Autumn course commences on November 3rd 2025.

Are there any prerequisites to taking L2D?

To comfortably enrol in the L2D course, it is recommended that you have a very basic level of proficiency in using a personal computer: and a basic proficiency in using the operating system of your choosing (either Windows, Linux or Mac OS). You will also need a suitable computer of your own and access to a broadband internet connection.

How much does it cost to take the entire L2D course?

If you choose to take the entire L2D course, comprising the Introduction to Python, Data Handling, Networks, Machine Learning and AI modules, the combination price of the course is reduced to £1,500, per individual.

Discounts are available for group bookings of 5 or more and Masters students (or equivalent).

Will learning materials remain available once the course has been completed?

Yes. Our online resources are available to each individual learner on a personalised, one-user-only login to our online learning portal. These will be available for a limited time, following completion of the course.