Stats Advice

Statistics support is offered to:

  • Undergraduates (excluding Honours Statistics students)
  • All Postgraduate Taught students

If you are unsure about the level of Stats support available for your course, please email George.Vazanellis@glasgow.ac.uk.

"Make more people aware of the service! It is a fantastic resource!"

1:1 Stats Appointment - PGT MVLS Student, 2024.

"The one on one teaching provided by Dr Vazanellis has been invaluable. Dr Vazanellis is passionate and enthusiastic about statistics and R, and inculcates the same enthusiasm in his students. He is both attentive and supportive, and tailors his sessions to meet the individual needs of his students. As someone who did not previously use R, my skills have improved significantly through these teaching sessions."

1:1 Stats Appointment - PGR Student.

"Thank you so much for all of your help this year! I wouldn’t have been able to make the prettiest graphs, pass statistics or get a First class in my dissertation without you! Thanks for everything!"

1:1 Stats Appointment - UG MVLS Student, 2024.

"Cannot thank the staff and tutor enough for their help. Very friendly, always makes time for you and explains things in a way that are easy to understand. Very enthusiastic too."

1:1 Stats Appointment - UG MVLS Student, 2025.

"I must first say that the stats class today at St Andrew was very insightful. My specific take home is that the mean tilts towards the skewed or longer tail. That's alongside with some other things that come like a speedy hack to me."

Intro to Statistics Class - Social Sciences Student, 2025.

"I got a B on my resit! Thank you for all of your help, I really appreciate everything you did for me. It helped me so much, you're amazing!"

1:1 Stats Appointment - UG CoSE Student, 2025.

Live Classes (Semester 2)

Introduction to Statistics (Using R Studio) (for any UofG Student) (In-person)

This series is for any student who will be working with data as part of their assignments, project, or dissertation. It will cover some fundamental concepts in statistics as well as how to use R Studio, a widely used statistical environment, to perform and present analyses. This particular course will be led by the Statistics Adviser.

> Moodle page for this series (includes slides) - https://moodle.gla.ac.uk/course/view.php?id=19841

 
Date Time Class title Class Description Venue
Wed 21 Jan 13:00-14:00 Introduction to R Studio (Part 1) This session introduces students to R Studio, a powerful statistical environment used by many to conduct simple and more complex statistical analysis,as well as produce meaningful and impactful graphs.(Part 1) 42 Bute Gardens:915
Wed 28 Jan 13:00-14:00 Introduction to R Studio (Part 2) This session introduces students to R Studio, a powerful statistical environment used by many to conduct simple and more complex statistical analysis,as well as produce meaningful and impactful graphs.(Part 2)
Wed 4 Feb 13:00-14:00 Descriptive Statistics This session covers basic statistical termenology, along with measures of central tendency, variation, and position of a data set.
Wed 11 Feb 13:00-14:00 Probability This session covers the basic rules of probability, along with some examples of discrete probability distributions.
Wed 18 Feb 13:00-14:00 Hypothesis Testing This session covers hypothesis testing, along with some continuos probability distributions used for hypothesis testing.
Wed 4 Mar 13:00-14:00 Simple and Multiple Linear Regression This session covers simple and multiple linear regression, along with graphical tools to describe said regression.
Wed 11 Mar 13:00-14:00 Logistic Regression This session covers logistic regression, along with graphical tools to describe said regression.
Wed 18 Mar 13:00-14:00 Flexible Regression This session covers flexible regression, along with graphical tools to describe said regression.

Introduction to Statistics (Using R Studio) (for any UofG Student) (Online)

This series is for any student who will be working with data as part of their assignments, project, or dissertation. It will cover some fundamental concepts in statistics as well as how to use R Studio, a widely used statistical environment, to perform and present analyses. This particular course will be led by the Statistics Adviser.

> Moodle page for this series (includes slides) - https://moodle.gla.ac.uk/course/view.php?id=19841

 
Date Time Class title Class Description Venue
Thu 22 Jan 10:00-11:00 Introduction to R Studio (Part 1) This session introduces students to R Studio, a powerful statistical environment used by many to conduct simple and more complex statistical analysis,as well as produce meaningful and impactful graphs.(Part 1) Zoom Link (via Moodle)
Thu 29 Jan 10:00-11:00 Introduction to R Studio (Part 2) This session introduces students to R Studio, a powerful statistical environment used by many to conduct simple and more complex statistical analysis,as well as produce meaningful and impactful graphs.(Part 2)
Thu 5 Feb 10:00-11:00 Descriptive Statistics This session covers basic statistical termenology, along with measures of central tendency, variation, and position of a data set.
Thu 12 Feb 10:00-11:00 Probability This session covers the basic rules of probability, along with some examples of discrete probability distributions.
Thu 19 Feb 10:00-11:00 Hypothesis Testing This session covers hypothesis testing, along with some continuos probability distributions used for hypothesis testing.
Thu 5 Mar 10:00-11:00 Simple and Multiple Linear Regression This session covers simple and multiple linear regression, along with graphical tools to describe said regression.
Thu 12 Mar 10:00-11:00 Logistic Regression This session covers logistic regression, along with graphical tools to describe said regression.
Thu 19 Mar 10:00-11:00 Flexible Regression This session covers flexible regression, along with graphical tools to describe said regression.

Stats Drop-Ins (for any UofG student)

> Moodle page for Stats advice - https://moodle.gla.ac.uk/course/view.php?id=42233

 

 

Date Time Description Venue
Tue 20 Jan 10:00-11:00 Open to any student (other than those from honours level statistics courses) who needs help with statistics and/or help with R Studio. James McCune Smith: 429
Fri 23 Jan 10:00-11:00
Fri 30 Jan 10:00-11:00
Fri 6 Feb 10:00-11:00
Fri 13 Feb 10:00-11:00
Fri 20 Feb 10:00-11:00
Fri 27 Feb 10:00-11:00
Fri 6 Mar 10:00-11:00
Fri 20 Mar 10:00-11:00
Fri 27 Mar 10:00-11:00

Pre-recorded Classes and Online Materials

These Moodle pages offer a mix of online materials and resources you can work through at your own pace. Some are classes held in the previous semester, which may have recordings available. Check back regularly for updates.

SLD Stats Support Moodle

This page has a range of resources on probability and statistics for students from any subject background:

SLD Stats Support Moodle

Appointments

Note: you will require a GUID to use the appointment booking system. If no appointments are available, check back after a few days as new appointments are added weekly.

A view of the main building from the library during sunrise

Other SLD Advisers

Dr George Vazanellis

George is the Statistics Adviser working within SLD. He has a PhD in Statistics from the University of Glasgow.

He offers 1:1 appointments and other group teaching activities throughout the academic year.

Teaching Requests

George can provide statistics support to undergraduate and postgraduate taught degrees across all colleges. To find out what teaching he can offer your course, please get in touch by email.

For individual students looking for help, please feel free to book a one-to-one appointment.

George.Vazanellis@glasgow.ac.uk

Room 315
McMillan Reading Room
University Avenue
G12 8QF