What is Pathways to Data Analytics?
The demand for a high level of numeracy skills and knowledge of statistical methods is extending across occupations. As all sectors rapidly generate more data, a search for staff with the skills to analyse it and translate it into information that benefits organisations, is growing fast.
Pathways to Data Analytics offers the opportunity for students across all disciplines to approach to data analytics over five intensive training sessions. This pathway will introduce participants to essential statistical concepts and analytical tools needed to use Python and R as a data analytics instrument.
Successful students, selected from a range of disciplines and year groups, will undertake five two/three-hour sessions of experiential learning delivered by the Q-Step Centre.
The pathway to Data Analytics is funded by European Social Fund in partnership with Exeter Q-Step Centre as part of the Smart Skills programme as a mean to develop technical and job specific skills and bolster employability prospects.
Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.
- Gain an insight into the different data analytics needs in the sector of your interest.
- Explore your interest for further data analytics training under a Q-Step Proficiency in Applied Data Analysis degree.
- Increase knowledge of sector specific activities
- Learn in an interactive and experiential environment
- Work with students from different year groups, subjects and levels of degree
- Be inspired by experienced professionals
- Gain confidence in your abilities
- Develop your career plan
- Apply newly acquired learning to a group project as part of the training
- Receive a certificate and reference
You must be a current University of Exeter student when you apply for the programme. We welcome applications from all disciplines and levels of study, as long as you can demonstrate a keen interest in this subject area.
We particularly welcome applications from groups currently underrepresented in the workforce.
You must have the right to work in the UK for the duration of the professional pathways .
Applications are now closed and will re-open in the New Year. For more information on our courses please click on the 'training and projects' section on this webpage
The University of Exeter Q-Step Centre has received funding from the European Social Fund (ESF) to deliver a series of training courses, which seek to develop advanced data analytics skills. These are skills that are becoming increasingly adopted in a wider variety of areas by both small and large organisations.
Example of two courses we deliver are-
Introduction to Python
In this course, we'll dive into learning Python from scratch and applying the skills of data analysis to a real-world dataset! Python is a flexible, intuitive programming language, perfect for those who are about to begin their pathway as a data analytic. Over the course of studying, we will touch upon the most crucial skills of working with data, such as exploring and subsetting the dataset, creating new variables, cleaning the data (e.g. missing values), visualizing the distribution of variables, as well as running statistical tests and inferring the relationship between two or more variables. At the end of the course you will have time to work on a group project on the topic of your interest!
Introduction to RStudio
Why take this course?
STATISTICS is a scary word to many people. A statistic is simply a number, and here's the thing: you don't have to be a statistician to be confident working with data. Yet almost every role in every company requires an understanding of data, and many desired roles require data analysis experience.
This course provides the foundations for you to understand, execute and communicate data analysis in a widely-recognised software platform that was built for statistics. Over five days, you will gain valuable skills that you can market to employers, gain confidence in your ability to work with data, and create a knowledge base that you can build on for years to come.
Applications for these courses will open again in the New Year.
Unfortuately we will not be offering internship opportunities under the new programme.
Testimonials from previous students:
"I found it a useful way of getting to grips with python, and starting to explore its uses in data analytics" Anonymous
"Very interesting and practical course really helpful for employment. An excellent insight to data analysis and would highly recommend this course to anyone who would like a taster of python - it is not as scary as it seems." 3rd Year Geography Student
"I really enjoyed the course, coding/ python is never something I ever thought I would be able to do!" 3rd Year Medical Sciences Student
"Gained a lot of knowledge in a short period of time - taught extensively and efficiently. Greatly appreciated the opportunity." Amy Heather, 2nd Year Medical Sciences Student
"I really enjoyed the final group project. I enjoyed the opportunity to explore and analyse a new data set and utilise all the skills learnt over the duration of the course. It also helped develop key skills such as teamwork and presentation skills." 3rd Year Maths Student
"The delivery was very good as we were taught a lot of information that was quite accessible and I genuinely learned a lot about Excel Data Analytics over the past week!" Dinith David, 2nd Year International Relations Student
"It was the right mix of theoretical and practical with plenty of opportunities to test out the skills... The course was very well taught and the variety of skills set within the group was accounted for in a way that everyone was included and capable of following along and doing the exercises." Anonymous