This face-to-face course is run by the Researcher Academy
The Researcher Academy courses are very popular, and the majority are run in both semesters to give you the opportunity to attend at a time of the year that suits you.
Target audience: PGRs, ECRs
Content will be predominantly targeted at social sciences researchers but skills learnt will be appropriate for any discipline.
Course is an introduction to these topics and is not appropriate for those who are already competent programmers in R & SQL
Description
You will need to bring your own wifi-enabled laptop or PC to this session.
2 day course using the Data Carpentry for Social Sciences Curriculum. Taught by a certified Data Carpentry instructor.
Day 1 AM: Data Organisation
In this lesson, you will learn good data entry practices, how to avoid common formatting mistakes, approaches for handling dates, basic quality control and data manipulation, and exporting data from spreadsheets
Day 1 PM: Data Management with SQL
This lesson will teach you what relational databases are, how you can load data into them and how you can query databases to extract just the information that you need.
Day 2: Data Analysis and Visualisation with R
This is an introduction to R designed for participants with no programming experience. It includes basic information about R syntax, the RStudio interface, data frames, factors, calculating summary statistics, and a brief introduction to plotting.
Process: Practical computer based workshop
Course Accessibility
The following table shows a summary of what is needed to participate in the course.
If you feel you will experience difficulties participating, please let us know via the ‘special requirements’ tab, providing as much information as possible. The special requirements tab can be completed when you book your place. Alternatively, you can contact us directly at ra-training@nottingham.ac.uk.
Access and/or complete self-study/ pre-course tasks prior to main session | ![]() |
Access to specific software on laptop/ PC |
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Bring your own laptop/ PC to the course |
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Access seminar room on campus (or) access computer room on campus |
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Attend the course at the specified date and time |
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Watch and listen to the course tutor(s) and/or other attendees | ![]() |
Follow presentation slides during the course | ![]() |
Work from multiple windows and files open at one time on laptop/ PC | ![]() |
Take part in group activities/ discussions | ![]() |
Booking Conditions
Our courses are very popular, especially in the current period, and we are experiencing large volumes of people on our waiting lists.
Please do let us know if you would like to cancel your place on this course so we can offer your place to another delegate.
PLEASE NOTE: attendance will be recorded; non-attendance might impact your ability to book future courses.
Basic computational knowledge eg. Excel
Basic statistical knowledge e.g descriptive statistics, bar charts etc.
Attendees must bring their own laptops and the following set up process should be carried out before the session:
Location | Start Date | All Dates | Times | Places Available | Book |
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