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 Spring 2020:
Spatial Analysis for Public Health Researchers<https://www.cdrc.ac.uk/events/spatial-analytics-for-public-health-researchers-copy/> - still places left
10th Feb 2020 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Michelle Morris
This one-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)
Tableau Workshop<https://www.cdrc.ac.uk/events/tableau-workshop-3-copy/>
2nd March 2020 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Roy Ruddle
This one-day interactive course, in association with The Alan Turing Institute, provides a practical introduction to data visualization with Tableau Desktop, an industry-leading visualization tool. You will learn how to create effective visualizations that range from bar and line charts to heat maps and geographic maps using Tableau, as well as how to avoid common pitfalls. You'll then have the opportunity to apply your knowledge by tackling a series of data analysis 'challenges'. This is a workshop and thus will involve hands-on practical exercises.
Who is this course suitable for?
The workshop is open to academic staff and students only due to licensing restrictions, irrespective of their level of knowledge on Tableau. No prior knowledge is assumed for this course other than having basic IT skills. However, you will get the most out of the course if you complete in advance the Get Started tutorial<https://onlinehelp.tableau.com/current/guides/get-started-tutorial/en-us/get-started-tutorial-home.htm>.
Cost:
£70 (students)
£120 (academic, public and charitable sector employees)
Beginner's Python for Data Analysis <https://www.cdrc.ac.uk/events/beginners-python-for-data-analysis/>
26th-27th March 2020 @ 9:30 am - 5:00 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Francesca Pontin
This two-day course will introduce you to some basic data analytics skills in Python, and is aimed at novices, with day 1 introducing the basics of Python programming including data types, packages, data cleaning, data exploration and visualisation, as well as some basic data manipulation and statistics. At the end of day 1 we will also help you get started with using Python on your own machine, so it is preferable that you bring your own laptop with you. Day 2 will build on the skills learnt in day 1 and introduce spatial data analytics including visualisation, spatial manipulations and some basic spatial analysis. The afternoon of day 2 gives you the opportunity to put your newfound python data analytic skills into practice in a supported environment. Using either your own data or an example dataset from the Consumer Data Research Centre (CDRC). We also aim to help you get started with GitHub in order to effectively save and manage versions of your code. We take a practical approach to getting you started with coding early, with short explanations followed by practical exercises to work through.
Who is this course suitable for? This course is for researchers who want to start looking at data analysis in Python. Day 1 of the course will assume that your knowledge of Python is zero, whereas day 2 will develop on knowledge gained in day 1 and apply this to spatial data visualisation and analysis. Please bring your own laptop with you.
Cost:
You may attend day 1 only, day 2 only or both days as is your preference. Please see website for different pricing details.
Geocomputation and Data Analysis with R<https://www.cdrc.ac.uk/events/geocomputation-and-data-analysis-with-r-copy/>
23rd-24th April 2020 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Robin Lovelace
Run in conjunction with Leeds Digital Festival 2020<https://leedsdigitalfestival.org/>, this two-day course aims to get you up-to-speed with high performance geographic processing, analysis and visualisation capabilities from the command-line. The course will be delivered in R, a statistical programming language popular in academia, industry and, increasingly, the public sector. It will teach a range of techniques using recent developments in the package sf<https://github.com/r-spatial/sf> and the 'metapackage' tidyverse<https://www.tidyverse.org/>, based on the open source book Geocomputation with R<https://geocompr.robinlovelace.net/> (Lovelace, Nowosad, and Meunchow 2019).
Objectives:
· Be able to use R and RStudio as a powerful Geographic Information System (GIS)
· Know how R's spatial capabilities fit within the landscape of open source GIS software
· Be confident with using R's command-line interface (CLI) and scripting capabilities for geographic data processing
· Understand how to import a range of data sources into R
· Be able to perform a range of attribute operations such as subsetting and joining
· Understand how to implement a range of spatial data operations including spatial subsetting and spatial aggregation
· Have the confidence to output the results of geographic research in the form of static and interactive maps.
Who is this course suitable for? Delegates must be R users already, having at least completed a basic introductory course such as DataCamp's introduction to R<https://www.datacamp.com/courses/free-introduction-to-r> or equivalent. Attendees are asked to bring their own laptops.
Early Bird rates (valid until 22nd March 2020)
£200 - Students
£400 - Academics, charitable and public sector
£700 - Other
Please click on the 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, 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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SIGNOFF allstat
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