The following learning outcomes will be assessed:
1. Critically select and apply key machine learning and statistical techniques for data analytics projects across the whole data science lifecycle on modern data science platforms and with data science programming languages.
2. Appropriately characterize the types of data; to perform the pre-processing, transformation, fusion, analysis of a wide range type of data; and to visualize and report the results of the analysis of various types of data.