Labs
Data Science Department Labs
Laboratory
Data Science Laboratory
The full analysis pipeline — acquisition, cleaning, exploratory analysis and modelling — worked in Python and R on real datasets.
Laboratory
Big Data Analytics Laboratory
Distributed storage and processing on Hadoop and Spark, covering MapReduce, dataframe operations and streaming workloads.
Laboratory
Database & Data Warehousing Laboratory
Relational and NoSQL stores, schema and dimensional design, ETL pipelines, and query performance and indexing work.
Laboratory
Statistical Computing Laboratory
Probability, inference, regression and time-series analysis, implemented computationally rather than only on paper.
Laboratory
Data Visualisation Laboratory
Building readable, honest visual analysis and dashboards with Python plotting libraries, Tableau and Power BI.