This course describes the cultural and organisational aspects required for an organisation on the digital transformation path. A healthy corporate culture around data awareness is imperative to leverage the potential and value of data to the benefit of a company's business model. The organisation needs to reflect the culture and reward those who add value to a corporation by using data and analytics. Content presented explains personality and skill identification, how to prototype an agile analytics organisation and describe how to validate change capabilities, close gaps and execute a transition strategy.
The detection of anomalies is one of the most eclectic and difficult activities in data analysis. This course builds on the basics introduced in the earlier course, and provides more advanced methods including supervised and unsupervised learning, advanced use of Benford’s Law, and more on statistical anomaly detection. Optional topics may include anomalies in time series, deception in text and the use of social network analysis to detect fraud and other undesirable behaviours.