4.3 Read 122 reviews
Overview
Key facts
University of Leeds' Transport Data Science with R course will provide tools, code, data and, above all, face-to-face teaching to answer these questions and more, with the statistical programming language R. The data science approach opens a world of possibilities for generating insight from your transport datasets. The course is suitable for researchers in the public sector, academia and industry.
Programme Structure
Courses include:
- Origin-destination data
- OpenStreetMap data
- Other data sources
- Spatial analysis
- Analysis and modelling
Key information
Duration
- Full-time
- 1 days
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
More details
- Dates to be announced
Language
English
Delivered
On Campus
Disciplines
Transportation Engineering Data Science & Big Data View 64 other Short Courses in Data Science & Big Data in United KingdomWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Leeds and/or in United Kingdom, please visit Student Insurance Portal.
Other requirements
General requirements
Prior experience with transport datasets is a prerequisite for the course. Attendees are expected to:
- Be comfortable with the use of R, using it for everyday data analysis tasks (you will find DataCamp’s free Introduction to R easy)
- Have experience with transport datasets and understand their structure (you will be familiar with the contents of the Transport chapter in Geocomputation with R)
Tuition Fee
To always see correct tuition fees
-
International
450 GBP/fullTuition FeeBased on the tuition of 450 GBP for the full programme during 1 days. -
National
450 GBP/fullTuition FeeBased on the tuition of 450 GBP for the full programme during 1 days.
- Student: £200 (early bird) / £250
- Academic, public sector and charitable sector: £300 (early bird) / £350
- External: £400 (early bird) / £450
Living costs for Leeds
637 - 1103 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Improve page content