Course description
Applied Data Skills for Processing & Presenting Data (UG)
Data science skills are becoming increasingly essential in all areas of work, from processing and analysing sales data to understanding and utilising social media analytics to grow a business and expand outreach. A report from the Department for Digital, Culture, Media and Sport (2021) found that 48% of companies were recruiting for roles requiring data skills, but 46% of them struggled to fill these positions. Additionally, manually processing data can be time-consuming and is subject to human error. Learning to transform, summarise, and visualise data using code is a vital skill. This course teaches learners how to turn various types of data into informative and visually appealing reports using the programming language R.
Suitability - Who should attend?
It is suggested that learners on this course are educated to at least SCQF Level in English and Mathematics and have an IELTS equivalent of 6.5. Learners will not be asked to prove their academic or professional history.
Learners must have access to a computer on which they can install R and RStudio or access RStudioCloud.
Outcome / Qualification etc.
Upon completion of this course, you will be able to:
- Use the Tidyverse to clean and process data;
- Use R to quickly and accurately summarise data;
- Use ggplot2 to informatively visualise data;
- Use R Markdown to create reusable report templates.
Training Course Content
- Week 1: Introduction to R & RStudio
- Week 2: Reports with R Markdown
- Week 3: Introduction to Data Visualisation
- Week 4: Data Import
- Week 5: Data Relations
- Week 6: Practice Report
- Week 7: Data Tidying
- Week 8: Data Wrangling
- Week 9: Data Summaries
- Week 10: Customising Visualisations & Reports
Course delivery details
Applications opening November 2023
Continuing Studies
This course is designed to equip learners with skills to progress into the following roles and industries:
- Positions that require the creation of reports and data sources including customer satisfaction
- surveys, market data, employee databases, sales records or social media data
- Positions that use R and RStudio
- Data Science Professional
Completion of this course grants potential for:
- Further academic study
- Promotion
- Increased earning potential
- New career path