A practical introduction to the Unix command line for researchers working with computational tools and large datasets.

The Unix shell is a powerful and essential tool for modern computational research, particularly in areas such as bioinformatics, data science and large-scale data analysis. This course introduces the core concepts and commands needed to work effectively in a Unix/Linux command-line environment.

Participants learn how to navigate the filesystem, manipulate text-based data and combine commands into efficient workflows for handling research data.

By the end of the course, participants should be able to:

• understand the role of the Unix command line in computational research workflows
• navigate filesystems and manage files using a Unix terminal
• understand how Unix commands are structured and how to access command documentation
• perform common file and text manipulation tasks using command-line tools
• combine multiple commands into simple data-processing pipelines
• use Bash as a practical tool for data handling and automation

Teaching is primarily hands-on, combining short presentations with demonstrations and guided practical exercises.

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== Intended audience ==

This course is suitable for:

• researchers and students who are new to Unix or Linux command-line environments
• participants working with computational or data-intensive research workflows
• researchers interested in bioinformatics, scripting or large-scale data analysis
• anyone looking to develop practical command-line and data manipulation skills

== Course fees ==

All fees are per full training day.

{| class="wikitable"
|-
! Category
! Fee
|-
| Industry full charge
| £130.00
|-
| Academic / Government / charity concessionary
| £65.00
|-
| Cambridge University staff members / postdocs / visitors
| £65.00
|-
| Cambridge University registered students
| Free
|-
| Cambridge University registered students non-attendance
| £22.00
|-
| Special events
| Per event
|}

Payment options will be provided in booking confirmation emails sent after registration.

More details…

== General information ==

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