DATA ANALYTICS
Année du cours : 1 année(s)
Etablissement : IÉSEG School of Management
Langue : English
Formation(s) dans laquelle/lesquelles le cours apparait :
Période : S2
– General IT knowledge
– Descriptive statistics and econometrics
– Accounting basis
Perceive a global IT audit framework
– Realise a preliminary evaluation of risks related to an information system, and assess the risks related to the systems security, the systems adaptability, the activity continuation plan and management of accesses.
– Evaluate the coverage of the risks related to an information system by the appropriate criteria;
– Prepare the right recommendations to be implemented from the identified risks;
– Reproduce an IT audit interview in a real business context.
Identify advanced data analytics techniques through real-life examples (clustering, link analysis, tag cloud and text mining, etc.). The participant should be able to distinguish the main steps in a forensics data analytics approach and suggest the right utilisation for the right situation
– Define the right questions starting from the available data;
– Collect and pre-process data;
– Review models estimations and interpretation.
The students should also be able to use some basic methods packaged in data analytics software’s like R