The Diploma in Data Predictive Analytics will introduce you to many of the popular advanced statistical techniques used in the field of marketing and financial predictive analytics. The course will teach multivariate techniques used to transform information from large data sets data into actionable insights.
You will gain hands-on experience using RapidMiner and prepare to be a part of this growing field. Models such as multiple linear regression, logistic regression and decision trees are frequently used in solving predictive analytics problems. Regression models help us understand the relationships among these variables and how their relationships can be exploited to make decisions.
These skills will enable you to shift roles from ‘trusted observer’, to a more commercial role as strategist, analyst and adviser. You can move to a role where you actively partner with management and operations to influence the direction and decisions of the business on a day-to-day basis.
Leaners will also be introduced to both ‘big’ and ‘small’ data, how to manipulate, analyse and interpret it in sophisticated ways and to present this in a persuasive and influential manner. This course will teach you how to identify situations in which predictive analytics can add value by better meeting customer needs, smarter allocation of marketing budgets and improving financial decisions.