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:
Tableau Workshop<https://www.cdrc.ac.uk/events/tableau-workshop-2/>
17th Jun 2019 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Roy Ruddle
Due to licensing restrictions, we regret that this course is not available to the private sector.
This 1-day interactive course provides a practical introduction to data visualization with Tableau Desktop, an industry-leading visualization tool. You will learn how to create effective visualizations by avoiding common mistakes and how to use Tableau by creating visualizations that range from bar and line charts to heat maps and geographic maps. You'll then have the opportunity to apply your knowledge by tackling a series of data analysis 'challenges'. The majority of the course will involve hands-on practical exercises.
Cost:
£70 (students)
£120 (academic)
[Not open to private sector due to licensing restrictions]
Intermediate R<https://www.cdrc.ac.uk/events/introduction-to-r-3/>
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)
Spatial Analytics for Public Health Researchers<https://www.cdrc.ac.uk/events/spatial-analytics-for-public-health-researchers/>
18th October 2019 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Michelle Morris
This 1 day course offers an introduction to spatial analytics in a public health context. As spatial data sets get larger, more sophisticated software needs to be harnessed for their analysis. R is now a widely used open source software platform for statistical analysis and is increasingly popular for those working with spatial data thanks to its powerful analysis and visualisation packages. This course introduces the basics of how R can be used for spatial data. The course will begin with an overview of different spatial units and how they fit together. Public health examples will be used to illustrate the relevance of using each of these units. You will work through examples of how spatial units can be added into existing data sets. In the afternoon you will generate your first map using public health data.
Who is this course suitable for? This course is for researchers who want to start looking at spatial or social variations in their data and generating maps to present results. The course will assume that your knowledge of spatial scales and generation of maps is zero. Examples will all be from a public health context.
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/>
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 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<https://www.cdrc.ac.uk/events/introduction-to-r-3/>
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/>
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