Data Carpentry - R, Regular Expressions, SQL

Data analysis with R, regular expressions and data management with SQL

Data Carpentry workshops teach fundamental data skills needed for anyone that deals with data and datasets. These two-day online workshops focus on the introductory computational skills needed for data management and analysis. The model is based on a community of certified instructors who teach at the workshops, and contributors who maintain the lesson materials. The instructors come from a range of backgrounds with sound experience in dealing with data.

Lesson materials are all available under a CC-BY licence and maintained by the community itself. They are used as the modular bricks to build a slightly different version of the workshop depending on the attendee needs.  You can find out further information on Data Carpentries here and more specifically Data Carpentries at The University of Edinburgh here.

These are introductory-level workshops. They provide foundational skills – no prior knowledge is needed.

The target audience for this workshop are learners who have little to no prior computational experience. We create a friendly environment for learning to empower you and enable data-driven good practices. The workshops are highly interactive and hands-on.

Further information can be found on the course website:

Data Carpentry - R, Regular Expressions, SQL

This workshop is open to all those with a keen interest data analysis using SQL

Though there are no specific entry requirements, learners will be expected to have a basic knowledge of computers.

You must be comfortable studying and learning in English if it is not your first language.

1.Better data analysis and visualisation with R

2, Better data management with regular expressions and SQL

This is a 4 day course, comprising a total of 16 hours study. (10am to 3pm each day online)

Course fees for 23/24 are £320 but funded places are available for people employed or unemployed in Scotland (residency requirements apply).

Funding

Through the Scottish Funding Council (SFC) Upskilling Fund, a limited number of fully-funded places are available on Data Upskilling Short Courses at The University of Edinburgh.

Eligibility

Funded places are available to those who meet SFC fee waiver criteria:

“Courses/provision is open to all Scottish-domiciled/’home fee’ students, which is consistent with SFC’s policy for core funded student places. Students from the rest of the UK (rUK) are not normally considered eligible for SFC funding. If however a university is working with a Scottish/UK employer which has a physical presence or operating in Scotland, rUK employees of that employer would be eligible.”

If you are from outside Scotland, you need to have settled status in the UK and meet other residency criteria:

•  be ordinarily resident in the United Kingdom, the Channel Islands or the Isle of Man for the three years immediately before course start date, and
• have ‘settled status’ in the UK (as set out in the Immigration Act 1971) at the course start date, and
• be ordinarily resident in Scotland at the course start date.

You can find out more about residency criteria on the SAAS website  or in this summary.

Funding eligibility will be assessed at the point of each application for each course; you may be asked to provide further information if you do not meet the general residence conditions. You can check your likely fee status here: https://www.ed.ac.uk/tuition-fees/fee-status/work-out Please email us at upskilling@ed.ac.uk if you would like to discuss your funding eligibility before applying.

Please note that full-time students (including full-time PhD students) are not eligible for funding.

You will receive a certificate of attendance after completion of the course.

Data Carpentry - Data Life Cycle

Data Carpentry - Data Organising & Cleaning