# Subject:Data Analytics
**Source**: https://projects.scss.tcd.ie/subject_area/data-analytics/
**Parent**: https://projects.scss.tcd.ie
In this project you will use public datasets from Met Eireann and Dublin City Council to understand which factors influence cycling participation in Dublin. Very broadly, the goal of the project is to try and understand what kinds of policy decisions might help to promote active travel. This project will be supported by a colleague … [Read more](https://projects.scss.tcd.ie/project/using-public-data-to-predict-and-plan-cycling-participation-in-urban-areas/ "TAKEN: Using Public Data to Predict and Plan Cycling Participation in Urban Areas")
This project will be in collaboration with Prof. Olive Healy in the School of Psychology and is suitable for students in the Statistics and Data Science, Statistics and Sustainability, and Data Science MSc programmes. The goal of this project will be to analyse data extracted from an online survey of adults who have received a … [Read more](https://projects.scss.tcd.ie/project/cluster-analysis-to-improve-understanding-of-adult-diagnosis-of-autism/ "TAKEN: Cluster analysis to improve understanding of adult diagnosis of Autism")
I am happy to supervise final-year undergraduate projects and master’s theses (Data Science). Below are the research topics. As these topics rely on advanced mathematical and statistical methods, only candidates with a strong background in mathematics or statistics will be considered. I also welcome PhD enquiries. If you’re interested, please contact me to discuss your … [Read more](https://projects.scss.tcd.ie/project/machine-learning-research-topics-on-big-and-complex-data/ "Machine learning research topics on big and complex data")
In the last decade, Airbnb has become a mainstay for tourists worldwide. In this project, we will use data from insideairbnb.com to obtain a better geographic understanding of Dublin. Which parts are expensive or reasonable to rent? Where do tourists like to stay, and in what type of accommodation? We will study these issues using … [Read more](https://projects.scss.tcd.ie/project/inside-airbnb-tourism-in-dublin/ "Inside Airbnb: Tourism in Dublin (taken)")
\*\*This project is for students in the Statistics & Data Science programme (M.Sc) or MSc in Statistics and Sustainability \*\* “Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method. For the findings of a study to be reproducible means that results obtained by an experiment or an observational study … [Read more](https://projects.scss.tcd.ie/project/investigating-the-reproducibility-of-studies-which-conducted-data-mining-or-machine-learning-on-educational-data/ "[TAKEN] Investigating the Reproducibility of Studies which conducted Data Analysis or Machine Learning ")
\*\* This project is only available for students in the MSc in Statistics & Sustainability programme \*\* The Behavioural Economics Unit of the Sustainable Energy Authority of Ireland (SEAI) commissioned the national survey entitled Behavioural Energy and Travel Tracker (BETT). According to the website (https://www.seai.ie/data-and-insights/behavioural-insights/publications/bett-dataset), “The tracker uses a behavioural science technique known as the … [Read more](https://projects.scss.tcd.ie/project/building-a-dashboard-for-the-behavioural-energy-and-travel-tracker-data-set/ "[TAKEN] Building a Dashboard for the Behavioural Energy and Travel Tracker Data Set")
The historical records relate to Coolattin, a major landed estate in Wicklow, Ireland belonging to Earl Fitzwilliam, in the mid 19th century. The National Library has the estate papers, which include bound volumes of beautiful estate maps by townland, each with a list of tenants and the size of their landholdings. The Fitzwilliam Estate also … [Read more](https://projects.scss.tcd.ie/project/24-25-aligning-mining-and-visualising-historical-records/ "[ALLOCATED] 25/26 PROJECT #3 Aligning, Mining and Visualising Historical Records")
I am happy to supervise projects in the following areas: Practical Applications of Management Science, Ethnographic Approaches to Information Systems Problems, Gendered Technology