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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 as a data analytics instrument.

Successful students, selected from a range of disciplines and year groups, will undertake five three-hour sessions of experiential learning delivered by the Q-Step Centre. Term 3 this will be delivered in an online format. 

The pathway to Data Analytics is supported by European Social Fund in partnership with Exeter Q-Step Centre 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.

The interactive programmer comprises of 3 key elements:

  • Training – five three-hour sessions of intensive technical and employability training; 

Python sessions will be delivered online. More information about this will be sent to student accepted on the course. 

Unfortunately we will not be able to offer internships in term3 due to Covid-19.

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 ‌Remember: It all adds up! This Careers activity counts towards the Exeter Award.

 

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

 If you are an employer please visit the employer facing Pathways to Data Analytics webpage.

 

  • 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
  • Culminates in an essential work experience, undertaking a paid internship with a local or national organisation
  • 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 open for Term 3. Please click here to apply

 

Python training will take place online for Term 3

These will be the only sessions delivered so in order for you to be successfully chosen for the programme you will need to be able to commit to completing the sessions.

The successfully selected students will undertake 5 sessions of intensive training delivered by the Exeter Q-Step Centre, its partners and associates, sessions include (but not exclusively):

  1. Measures of central tendency
  2. Bivariate and correlation analysis
  3. Introduction to sampling
  4. Data Analysis in Python
  5. Mock business project to produce a data analysis report

Please note some of these sessions may be subject to change.

Throughout your training you will work in groups linking what you learn to a real life business project.

Unfortuately in Term 3 the internship cannot take place due to Covid-19 

This week long (35 hour) internship will be voluntary although the University of Exeter is able to cover all reasonable expenses.

If you successfully complete the training, a range of internship projects will be presented to you and you will be required to identify which projects you are most interested in. You must attend all training sessions to be eligible for a placement.

A matching process will then be completed based on the associates involved in the project and your application form and identified preferences. No guarantee can be made that you will be matched to your preferred project but our aim is to match as many students to their preferred projects as possible.

Previous placements have included:

  • Devon County Council
  • Exeter City Futures
  • Exeter College
  • University of Exeter Wellbeing Services
  • A variety of local SMEs from across numerous sectors.

If you would like to ask any questions, please contact the Q-Step Centre team:

qstep@exeter.ac.uk