-appreciate that there exist ethical considerations in the context of a data wra...
-for differential privacy, understand what information is being protected and wh...
Lecture 21: Public data release and individual anonymity
-understanding what the record (data) linkage problem is
Lecture 15-16: Blockchain and data processing
Lectures 12 and 13: Classification and regression techniques: decision tree and ...
-understand the meaning of the variables in the (normalised) mutual information ...
-be able to explain why identifying correlations is useful for data wrangling/an...
Lecture 8: Hierarchical clustering and dimension reduction
Lecture 7: Clustering and clustering visualisation
-be able to explain the motivation for data visualisation
-understand why missing data is an important issue for recommender systems
Lectures 4 and 5: Data cleaning: missing values and outliers detection
-Appreciate the role that relational databases play in data wrangling.
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