Skip to main content

What is Pathways to Data Analytics?

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.

 See 'how to apply' for current course dates and times 

  • 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 open for our summer courses!

 

Introduction to RStudio  - 23rd May to 27th May, 10am to 1pm, Clayden Building Computer Lab, Streatham Campus, Exeter - Applications now closed 

 

Introduction to Python - 23rd May to 27th May, 1:30pm to 4:30pm, Clayden Building Computer Lab, Streatham Campus, Exeter - Applications now closed 

 

Essentials in Excel - 20th June to 22nd June, 10am to 1pm, Clayden Building Computer Lab, Streatham Campus, Exeter - Applications now closed 

 

Introduction to RStudio - 11th July to 15th July, 10am to 1pm, Clayden Building Computer Lab, Streatham Campus, Exeter - apply here

 

Introduction to Python- 1st August to 5th August, 10am to 1pm, Clayden Building Computer Lab, Streatham Campus, Exeter - apply here 

 

 

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 courses we deliver are- 

Critically Interpreting Data

Do you want to understand how to use data? 

We live in an increasingly data-driven world. Smart phones, smart watches and even smart fridges create and share data every second of the day. At the same time, data is misrepresented for political gain and an understanding of data has become crucial for comprehending the world around us. Too few people have the smart skills to interpret data and therefore use it responsibly.

This short course will develop your ability to think critically about data. Using practical, real-world examples, you will examine a range of data uses from creation to communication. By the end of the course, you will feel more confident in your ability to interpret representations of data in daily and academic life.

 

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. 

 

Introduction to Text Analysis in Python

This course will teach you how to apply computational methods to text data in Python and extract insightful information from unstructured or semi-structured narratives. We will begin the journey into text mining by learning how to run a descriptive analysis and visualize text via word clouds. After that, we will investigate how to pre-process text data (tokenization, lemmatisation) and run more complex types of analysis, e.g. sensitivity analysis and text classification models. At the end of the course, you will be able to implement all that you have learned by working on a group project on the topic of your interest!

 

 Essentials in Excel

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 basic foundations for you to understand, execute and communicate data analysis. Over three 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. 

 

Unfortuately we will not be offering internship opportunities under the new programme. 

If you would like to ask any questions, please contact the Q-Step Centre team: qstep@exeter.ac.uk 

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