Research IT Training
All face to face training is cancelled until further notice due to the Covid-19 pandemic; the courses listed below are available online via UCL Moodle (see course details for links to online versions).
Some of our courses such as the introduction to high performance computing are not currently available online, but you can still complete our expression of interest form if you would like to attend these classroom based courses when they become available. You can also use the form to suggest topics you would like us to consider covering in future.
- Introduction to the Unix Shell
An introduction to command line interaction with the Unix shell.*
* Software Carpentry Workshops and the Introduction to High Performance Computing course also teach the basics of using the shell.
- An Introduction to Research Programming using Python
This course will introduce fundamental programming concepts and is aimed at researchers who want to use Python to manipulate and analyse data.
|6 - 27 May 2020||Coding Demonstrations: Programming for Social Science Research|
|Essentials 4 Data Support||Research Data Netherlands||An introductory course for those who (want to) support researchers in storing, managing, archiving and sharing their research data.|
|Research Software Engineering with Python||Research IT Services||These are the course notes from a module we teach as part of the Scientific Computing MSc. Aimed at intermediate level programmers, the course moves beyond programming, to explain how to construct reliable, readable, efficient research software in a collaborative environment.|
|Machine Learning||Coursera||Excellent course on the basic but still powerful and relevant methods in machine learning, easy to follow. The course is an intermediate level, and Andrew Ng has a great way of explaining complicated concepts in a simplified and practical way.|
|Deep Learning||Coursera||A follow up on the Machine Learning course above, with focus on Deep Learning, presented in the context of the main applications such as Computer Vision and NLP. Highly recommended!|
|Managing Big Data with R and Hadoop||Futurelearn||An introduction to the MapReduce paradigm for distributed data processing on a cluster. Some experience with R, statistics and matrix operations is recommended.|
|Python in High Performance Computing||Futurelearn||Learn how to analyse Python programmes and identify performance barriers to help you work more efficiently.|
|Supercomputing||Futurelearn||An introduction to the theory and practice of parallel computing. Provides a good explanation of different computing architectures and the pros and cons of each.|
|Introduction to HPC||ARCHER||A collection of YouTube videos, slides and exercises from ARCHER's introductory high performance computing course. The course explains the theory and practice of parallel computing with a nice variety of practical examples.|
ARCHER is a national UK supercomputing service which also provides a range of training courses at sites around the UK which are free for UK academics. See their training page for details.
LinkedIn Learning provides video tutorials covering a wide range of IT skills including programming, data analytics, web development, data visualisation, continuous deployment and more – all free to UCL staff and currently enrolled students. See ISD Learning & Teaching Services for details.