We are not currently accepting applications for this course.
This new short course is part of an Office for Students (OfS) funded pilot project to explore flexible courses that expand digital skillsets in data science and analysis.
This course covers the following two areas, which will introduce data and statistical analysis to participants. You do not need a previous exposure to statistics, nor prior knowledge of R. No mathematical skills are required beyond basic numeracy.
Introduction to data science and statistics
You will be introduced to the concepts and practice of statistics and data science, without a requirement to know or use software or have advanced mathematical skills.
By the end of this section, you will have a comprehensive grasp of statistical and data science methods which will have enabled your understanding of their implementation in R.
Introduction to R for data analysis
The second part of this course delivers training in R for data analysis. The aim is to introduce the power of R for data analysis.
Participants will take part in face-to-face laboratories on Colchester Campus, where you will implement a set of R tasks on a data set under the guidance of teaching staff.
By the end of the course, you will be able to demonstrate the following:
- A sound conceptual knowledge of the basic traditional concepts of Statistics without mathematical development.
- A sound conceptual knowledge of modern computer-based data analysis techniques (e.g. Bootstrap methods)
- Ability to use R to implement the methodology with a variety of data.