Software Carpentry: Instructor training

This course is aimed at researchers who want to learn core skills and best practices for scientific computing. It will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

The course covers the core skills needed to be productive in a small research team:

• Unix command line (and how to automate repetitive tasks);
• Python or R (and how to grow a program in a modular, testable way); and
• version control with Git (and how to track and share work efficiently).

Further information is available here.

Applicants for this course are requested to complete a pre-course survey. This will be used to tailor the course content to the audience research interests and background.

This event is organized in collaboration with Software Carpentry.

• Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
• Further details regarding eligibility criteria are available here
• Further details regarding the charging policy are available here

This course is aimed at beginners, but the knowledge of basic programming concepts such as variable/loop/conditions will be an advantage.

Number of sessions: 2

Presentations, demonstrations and practicals

A full charge of £100 per participant per day applies to all industry and business participants meeting the eligibility criteria. A concessionary charge applies to those meeting the charging policy criteria.

Two full day sessions

1 time per year

• Introduction to Python for Biologists (ONLINE LIVE TRAINING)
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