Durham University

Academic Skills Programme

Maths and Stats Courses

April-June workshops

Click on the links for further details and to book places

First Steps with Excel 2016 (Staff/PGR)

2 May 09:30-12:30

Details for DS219 on 2 May 19

Introduction to LaTeX (Staff and Postgraduate Researchers)

7 May 09:30-12:30

Details for DS79 on 7 May 19

Moving on with Excel 2016 (UG/PGT)

8 May 13:30-16:30

Details for DS222 on 8 May 19

Moving on with Excel 2016 (Staff/PGR)

9 May 09:30-12:30

Details for DS221 on 9 May 19

Preparing Data for use in SPSS with Excel 2016 (Staff and Postgraduate Researchers)

13 May 09:30-12:30

Details for QM5 on 13 May 19

Introduction to SPSS (Staff and Postgraduate Researchers)

20 May 09:30-12:30

Details for QM3 on 20 May 19

Advanced Pivot Tables in Excel 2016 (Staff/PGR)

21 May 09:30-12:30

Details for DS237 on 21 May 19

Advanced Excel 2016 (Staff/PGR)

24 May 09:30-12:30

Details for DS223 on 24 May 19

Moving on with SPSS (Staff and Postgraduate Researchers)

3 June 09:30-12:30

Details for QM4 on 3 Jun 19

First Steps with Excel 2016 (UG/PGT)

10 June 09:30-12:30

Details for DS220 on 10 Jun 19

Moving on with Excel 2016 (UG/PGT)

11 June 09:30-12:30

Details for DS222 on 11 Jun 19

Introduction to LaTeX (Undergraduates and Taught Postgraduates)

17 June 09:30-12:30

Details for DS97 on 17 Jun 19

Advanced Excel 2016 (UG/PGT)

20 June 09:30-12:30

Details for DS224 on 20 Jun 19

Online workshops

Excel courses

The ever-popular suite of Excel courses, First Steps with Excel 2016, Moving on with Excel 2016 and Advanced Excel 2016 have now been launched as e-learning courses via Duo. If you wish to enrol on one of the courses, please contact Sarah Dodds on it.training@durham.ac.uk stating the course you wish to enrol on and your CIS username.The content is identical to the classroom based courses so if you have already completed that course, there is no need to repeat the training.

Coding courses, MOOCs and resources

A list of courses, MOOCs and resourses providing an introduction to coding. All use current industry standard programming languages including Python, R and JavaScript and are free to enrol on, but some will require payment for a certificate.


Introduction to computational thinking


Maps and the Geospatial Revolution


Introduction to using Python

Rice University’s Introduction to Python course

Automate the Boring stuff The book and eBook is also available in the library

FutureLearn “Learn to Code for Data Analysis” for statistics

Digital skills and quantitative methods course resources

If you can't attend, you can download the materials from these courses and use them for practice.

Preparing for Psychometric Tests

Often an integral part of the selection procedures used by employers, psychometric tests commonly test your numerical reasoning. The Careers Centre provide resources and practice examples to help you prepare.

Resources and practise tests