Fundamentals of Predictive Analytics: from theory to practice in two days

This course offers an overview of Predictive Analytics techniques, from both a theoretical and a practical standpoint. The aim of the course is to offer practical tools that permit participants to understand and work with their firm’s data.

Main topics

• why do we need predictive analysis and what kinds of problems we can solve with it
• mathematical structures of predictive analytics models
• data transformations
• algorithms, technical features, benefits and limits
• use cases and exercises

• Understanding of descriptive statistics for data analysis
• We suggest attending the introductory course: Introduction to Data Analytics

Participants will benefit from a solid understanding of how to create predictive analytics models within their firms.
The course gives the possibility to deal with real-life use cases, similar to those the participants might encounter at their workplace.
For an additional understanding of various tools used for predictive modelling, we suggest attending the courses: Predictive analytics with R , Predictive analytics with Rulex, Predictive analytics with Microsoft Azure Machine Learning