Predictive Analytics Training - Canada

Prerequisites

There are no formal prerequisites for attending this course.

Audience

Anyone who needs to gain knowledge on predictive analytics can attend this course. This course is well-suited for data analysts and data scientists.

Predictive Analytics Training​ Course Overview

Predictive analytics is used for making predictions about unknown future events. It makes use of many techniques, including data mining, modelling, statistics, artificial intelligence, and machine learning by analysing current data. The patterns found in transactional and historical data can be used for identifying future risks and opportunities. Predictive analytics models capture relationships among factors for evaluating risk with a specific set of conditions for assigning a score. Predictive analytics enables organisations to become forward-looking and proactive, predicting outcomes and behaviours based on the data.

This Predictive Analytics Training course will provide delegates with the knowledge of predictive analytics and its processing steps. Delegates will become familiarised with cleaning and feature creation. This 2-day course will equip delegates with extensive knowledge of itemsets and association rules. Delegates will also be familiarised with the various predictive modelling techniques including logistic regression, k-nearest neighbour, Naïve Bayes, and more.

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor