This video is about using R and RStudio to clean and pre-process the MOVE data. The R script is being commented and will be made available for download here later.
We look forward to welcoming you all to St Luke’s Campus (EX1 2LU) of Exeter University, where the one week summer course will take place. As detailed here, we will meet every weekday from 10:30 am to about 3 pm from Tuesday August 27th to Monday September 2nd. The classroom booked for the course is BC217 (Second floor of Baring Court) and lunch will be served in BC03 on the ground floor of the same building throughout the week. There will be sign posts and assistants available at St Luke’s throughout the week to guide you to the correct rooms.
The final event day will take place in Reed Hall (EX4 4QR) of Streatham Campus from 10 am to 3 pm on Tuesday September 3rd. Parking at St Luke’s is very limited, but you can park for free on the event day in Reed Hall’s own car park. You will need to ask the reception for a code to leave the car park. For further information about Reed Hall, please ring 03005550214, or email email@example.com.
Tea, coffee, and lunch will be provided on all days. Please remember to bring with you a laptop, with R and RStudio installed already. If you don’t have one, please get in touch as soon as possible.
Enjoy the long Bank Holiday weekend!
We look forward to the final event day on September 3rd. It will take place in Reed Hall of Streatham Campus at the University of Exeter. Please find below a tentative schedule for the day. (Please note that the final event day starts at 10 am rather than the usual 10:30 am throughout the preceding delivery week.)
10:00 - 10:15
Welcome from Professor Susan Banducci
Professor and Director of the Exeter Q-Step Centre
10:15 - 11:30
Dr Hugues Lortie-Forgues
Lecturer in Education from the University of York
11:30 - 12:00
12:00 - 13:00
13:00 - 14:00
Senior Statistical Consultant from Select Statistics
14:00 - 14:30
14:30 - 14:45
14:45 - 15:00
Dr ZhiMin Xiao
We are soliciting views on data science and data science education from real world data scientists and academics with teaching and/or research interests in data science. If you are a data scientist or work in a field that is related to data science, we'd appreciate if you could help us fill in an online survey, which is available from the link below:
Please feel free to contact Dr ZhiMin Xiao (firstname.lastname@example.org) should you need further information or have any questions to ask about the project.
The University of Exeter would like to invite you to take part in an intensive one-week long summer course in Data Science to help test the content and teaching approaches used. This brand new course aims to provide students with an overview of data science as an emerging field that is likely to have great impacts on many aspects of our daily lives in the years to come.
The course is open to teenagers who are nearing the end of their secondary education and have an interest in data science in general and developing analytical skills with R in particular. While the course does not assume prior background in mathematics or statistics, we aim to teach a set of skills and principles that are often considered fundamental to the field.
Ideally, you should be able to travel to Exeter each day, from August 27th to September 3rd so that you can come and join the sessions with us at the University for three hours each day. However, students who are unable to join us on campus can also take the course via live web conferences, which will be recorded and made available on this website afterwards.
At the end of the course, there will be a one-day event (date to be confirmed soon) on the beautiful Streatham campus of the University, when we will invite real world data scientists and academics to come and talk to students and ask the students to demonstrate what they have learnt.
More details about the course are available here.
As a thank you for your time and feedback, we will give students a £15 Amazon voucher for each day they attend.
Please get in touch with Dr ZhiMin Xiao (email@example.com) to apply for a place on this course. We aim to make the application process as simple as possible, you just need to send a short introduction to yourself and explain why you want to take this summer course.
We look forward to hearing from you!