Dear Colleagues,
**With apologies for cross-posting**
The ESRC-funded Consumer Data Research Centre<https://www.cdrc.ac.uk/> at the University of Leeds is currently offering the following courses in 2019:
<https://www.cdrc.ac.uk/events/introduction-to-r-3-copy/>
Intermediate R<https://www.cdrc.ac.uk/events/introduction-to-r-3-copy/>
19th July 2019 @ 10:00 am - 4:30 pm - please register your interest with Kylie Norman<mailto:[log in to unmask]>
Leeds Institute for Data Analytics, University of Leeds
Course Tutors: Richard Hodgett and Emmanouil Konstantinidis
This 1 day course takes you on from the Introduction to R training to look at more advanced functions in R, including: IF statements and WHILE/FOR loops; mark down and reporting; building interactive web apps with Shiny; Parallelisation; and use of R on the Cloud using MS Azure.
Who is this course suitable for? This course is for those who already have some experience of using R (e.g. have attended Hodgett and Konstantinidis's 'Introduction to R' training, or completed Data Camp's online module in R).
Cost:
£70 (students)
£120 (academic, public and charitable sector employees)
£300 (private sector)
Introduction to QGIS <https://www.cdrc.ac.uk/events/introduction-to-qgis-4-copy/>
17th October 2019 - please register your interest with Kylie Norman<mailto:[log in to unmask]>
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Rachel Oldroyd
This 1 day interactive course provides a practical introduction to QGIS; a free, open-source Geographic Information System. You will learn the principles underpinning vector-based geographic data analysis and learn to undertake tasks such as sourcing, loading and interrogating data; creating professional map outputs, preparing geographic data sets and undertaking spatial analysis. Short lectures will be interspersed with hands-on practical exercises with plenty of opportunity to work with your own data and seek advice regarding your own projects.
Who is this course suitable for? No prior knowledge is assumed for this course other than having basic IT skills.
Cost:
£70 (students)
£120 (academic, public and charitable sector employees)
£300 (private sector)
Introduction to R
Autumn 2019 (Date TBC) - please register your interest with Kylie Norman<mailto:[log in to unmask]>
Leeds Institute for Data Analytics, University of Leeds
Course Tutors: Richard Hodgett and Emmanouil Konstantinidis
This half-day course will provide you with an introduction to the analytical programming language R. The course will focus on data pre-processing and visualisation, two of the key steps in understanding and generating insights from data. During the course you will learn about the benefits or R, how R handles different data types and how you can begin to use R to solve complex data science, machine learning and statistical problems. Specifically, you will work with R and its various packages to import, clean, manipulate and visualise real world data. The course assumes no knowledge of R or statistics.
Objectives:
1. To familiarise attendees with R, including the RStudio integrated development environment.
2. To learn more about the broader R ecosystem - i.e. packages that extend the functionality of 'base R'.
3. To introduce R's syntax and a variety of primary functions.
4. To learn how to tidy and manipulate data using R.
5. To learn how to utilise data visualisations to communicate your results.
Who is this course suitable for? No prior knowledge is assumed for this course other than having basic IT skills.
Cost:
£40 (students)
£60 (academic, public and charitable sector employees)
£150 (private sector)
Please click on the blue titles for more information on content or to make a booking.
Please email Kylie Norman<mailto:[log in to unmask]> for further information, to register your interest in courses with a date pending, or if you are booking using a Leeds University internal account.
Best Wishes,
Kylie Norman
Administrative Assistant
Consumer Data Research Centre (CDRC)
Leeds Institute for Data Analytics (LIDA)
Level 11, Worsley Building
University of Leeds
LS2 9JT
Email: [log in to unmask]<mailto:[log in to unmask]>
Tel: 0113 3430242
Please visit our website: http://cdrc.ac.uk<http://cdrc.ac.uk/>
________________________________
To unsubscribe from the RGS-TGRG list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=RGS-TGRG&A=1
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|