Testimonials
Below you will see a list of all our past courses, if you see a course here but can’t find it in the course diary it means we are in the process of scheduling a repeat. If you would like to be notified when a repeat for a specific course has been finalised please email oliverhooker@prstatistics.com
Stable isotope mixing models using SIAR, MixSIAR and SIBER (SIMM03) 28th February – 3rd March 2017

“It was such a pleasure to attend the stable isotope mixing…”

Wilbert Kadye,
Aquatic ecologists, Rhodes University, South Africa

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It was such a pleasure to attend the stable isotope mixing model course. Both Andrew Parnell and Andrew Jackson offered the course at great depth, but were able to skilfully simplify the course content. The course material covered a wide range of topics and concepts that were mostly relevant. In particular, I found the background information helpful in putting the specific topics into perspective. It was also interesting to be introduced to how specific packages work. Overall, the interactions were great, and assistance was timely rendered. Oliver Hooker was absolutely fabulous in making sure that everyone was comfortable both in and outside class. Thank you.”

Wilbert Kadye,
Aquatic ecologists, Rhodes University, South Africa

17 students
13 institutes
9 countries

Alberta University (Canada)

Bournemouth University (England)

Charles University (Czech Republic)

Federal do Rio Grande University – FURG (Brazil)

Ghent University (Belgium)

Institut national de recherche en sciences et technologies pour l’environnement et l’agriculture (IRSTEA) (France)

Institute of Oceanology Polish Academy of Sciences (Poland)

Manitoba University (Canada)

Notre Dame University (USA)

Rhodes University (South Africa)

Royal Belgian Institute of Natural Sciences (Belgium)

Southampton University (England)

University College London (UCL) (England)

Stable isotope mixing models using SIAR, MixSIAR and SIBER (SIMM01) 27th – 31st July 2015

“The stable isotope mixing models course was absolutely great…”

Benoit Lebreton,
Assistant professor of marine ecology, University of La Rochelle, France

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“The stable isotope mixing models course was absolutely great. It was high level knowledge provided with very enthusiastic people (i.e., Andrew Jackson and Andrew Parnell). The atmosphere was also very nice between people from the attendance, and it allowed me to meet some people from my field of research and to exchange with them.

The course was very useful as I already knew the methods but as I was missing some technical skills. I was also very helpful as it allowed to discuss the pros and the cons of the different methods with their authors. It gave me more background about how to use these methods and provided me some ideas for my future research.

The instructors were absolutely great. I think it is a real chance to have the possibility to be taught and to exchange with the two persons who invented the methods. Both Andrew Jackson and Andrew Parnell were willing to share. They spent lots of time with me and the other students to talk about our particular cases and our specific questions.

The course was particularly well organised and the facilities were very nice. The location at the Loch Lomond is gorgeous. It allowed to take walks in the evenings to refresh my mind.”

Benoit Lebreton,
Assistant professor of marine ecology, University of La Rochelle, France

30 students
25 institutes
12 countries

Aarhus University (Denmark)

Aberdeen University (Scotland)

British Antartic Survey (BAS) England)

Czech University of Life Sciences (Czech Republic)

The Swiss Federal Institute of Aquatic Science and Technology (EAWAG) (Switzerland)

Ghent University (Belgium)

Glasgow University (Scotland)

Institute of Oceanology Polish Academy of Sciences (Poland)

James Hutton Institute (Scotland)

Koblenz-Landau University (Germany)

Leibniz Institute (Germany)

Nelson Mandela Metropolitan University (South Africa)

Newcastle University (England)

Norwegian Institute for Water Research (Norway)

Plymouth University (England)

Queen Mary University London (England)

Queens University Belfast (Northern Ireland)

Shirshov Institute of Oceanology of Russian Academy of Sciences (Russia)

Stockholm University (Sweden)

The Scottish Universities Environmental Research Centre (SUERC) (Scotland)

Thünen Institute (Germany)

University Koblenz-Landau (Germany)

University of Konstanz (Germany)

University of La Rochelle (France)

Venice University (Italy)

Advancing in Statistical modelling using R (ADVR02) 20th – 24th April 2015

“This was by far the most useful statistic-related course…”

Clement Garcia,
Spatial ecologist, Centre For Environment, Fisheries & Aquaculture Science (CEFAS), England

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“This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view I’ve got on statistics. I feel like I’ve got a much better understanding of what I should focus on, what I should consider and how to interpret the model outputs. Specific stress was put on to exploring and understanding data prior to doing any modelling, which was a bit of an eye-opener for me.

The instructors were excellent and clearly were the reasons for my previous comments. They both combined a deep understanding of statistics and ecology at the same level.
Any questions or queries I’ve had, were thus first answered with an ecological point of view and then translated into statistical consideration thereby making much more sense on both side.

In addition the course was very well organised, the course director and the two instructors were very friendly as well as professional. On the top of learning many useful things, I’ve also had a very good time during the week there.”

Clement Garcia,
Spatial ecologist, Centre For Environment, Fisheries & Aquaculture Science (CEFAS), England

30 students
23 institutes
7 countries

Aarhus University (Denmark)

Aberystwyth University (Wales)

Bangor University (Wales)

Bristol University (England)

British Antarctic Survey (BAS) (England)

Centre for Environment, Fisheries and Aquaculture Science (CEFAS) (England)

Exeter University(England)

Frankfurt University (Germany)

Glasgow University (Scotland)

Helmholtz Centre for Environmental Research (Germany)

Imperial College London (England)

Institute of marine Research (Sweden)

Leeds University (England)

Liege University (Belgium)

Marburg, University (Germany)

Max Plank Institute (Germany)

Nottingham University (England)

Organic Research Centre (Italy)

Oxford University (England)

Royal Belgian Institute of Natural Sciences (Belgium)

Scotland’s Rural College (SRC) (Scotland)

Trento University (Italy)

Université catholique de Louvain (UCL) (Belgium)

Spatial analysis of ecological data using R (SPAE01) 16th – 20th March 2015

“I really enjoyed the Analysis of Spatial Data course…”

Tadhg Carroll
Spatial ecologist, University of Bournemouth, England

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“I really enjoyed the Analysis of Spatial Data course with PR statistics and learned a lot from start to finish. Jason and the other instructors have a great blend of ecological, mathematical and statistical expertise, which showed in a delivery that wove theory and the application of the modelling techniques together really well. It was clear that the course design was well thought through with excellent classes and simulation based practical’s, along with a useful literature archive providing an overview of the many modelling techniques covered and examples of their application. The instructors were happy to answer questions and discuss specific problems that the students had, and I particularly liked the emphasis placed on collaborative problem solving applied to students own study systems and data. I feel that I learned a lot about the scientific process more generally as well as spatial modelling from this aspect of the course. It’s quite a while since I completed the course now and I’m still learning both directly from the course materials and indirectly from the references to the literature provided.

I’d recommend this course to anyone looking for a comprehensive introduction and overview of spatial analytical techniques. I’ve since been back to do three other courses with PR statistics and I think that that in itself will tell you how highly I rate them. The food is great and the remote location promotes a nice atmosphere where you can get to know everyone and have a good laugh in the evenings. Oliver is always helpful and accommodating and he might even sort you with a surprise cheese platter at some point if you’re lucky!”

32 students
16 institutes
7 countries

Aberdeen University (Scotland)

Bangor University (Wales)

British Antarctic Survey (BAS) (England)

Bournemouth University (England)

Centre for Ecology and Hydrology (CEH) (Scotland)

County Cork University (Ireland)

Drexel University (USA), Edinburgh University (Scotland)

Exeter University (England)

Glasgow University (Scotland)

Norwegian University of Science and Technology (Norway)

Scottish Natural Heritage (SNH) (Scotland)

Stirling University (Scotland)

Swiss Ornithological Institute (Switzerland)

University of East Anglia (UEA) (England)

Wetland and Wildfowl Trust (WWT) (England)

Advancing in statistical modelling using R (ADVR01) 1st – 5th December 2014

“I decided to apply for the Advancing in R course…”

Chester Sands
Molecular Ecologist, British Antarctic Survey

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“I decided to apply for the Advancing in R course as I had attended one day R courses in the past but found I had to re learn the basics each time. I thought after an intensive five day course some of the code may stick. And I was right. The course was fairly full, some people wanting to learn R, like me, and others who seemed quite competent in R but wanted to hone specific skills in more complex statistical modelling covered in the last two days of the course.

The instructors were extremely good (personable and patient) and managed to keep the diverse class up to speed every step of the way. Although the first two days were basic introductions to R and to linear modelling, everyone seemed to benefit from the refresher and those who struggled with coding (like me) managed to keep up. In fact although I felt like I was the least competent of the students on the course, at no time did I feel I was holding anyone back.

The facilities at SCENE on Loch Lomond were not luxurious but comfortable; I enjoyed the home style meals and the social evenings. Being quite isolated meant we could concentrate on the work with minimal distractions – apart from the view out of the windows in the lecture theatre through the trees and over the lake when the sun came out, which was quite stunning.

The course was very well organised, from transport to and from the station, to dietary considerations, small walking tours during the breaks and an evening out at the “local” pub, the attention given to making the week comfortable and enjoyable for each individual facilitated the over-all learning experience.

I thoroughly enjoyed the course and came away reasonably competent in using R for linear modelling. And thanks to the tuition focusing on learning good methodology in using R (particularly managing and annotating code) rather than simply applying R to specific statistical problems, I have been able to apply my skills to other statistical techniques.”

Chester Sands
Molecular Ecologist, British Antarctic Survey

30 Students
11 different institutes
5 different countries

Arhus University (Denmark)

Antwerp University (Belgium)

British Antarctic Survey (BAS) (England)

Edinburgh University (Scotland)

Exeter University (England)

Glasgow University (Scotland)

Liege University (Belgium)

Queens University Belfast (Northern Ireland)

Scotland’s Rural College (SRC) (Scotland)

St. Andrews University (Scotland)

Stirling University (Scotland)