Predictive Analytics Course in Hong Kong

Who should attend this Predictive Analytics Course?

This Predictive Analytics Training Course aims to provide professionals with the core concepts, techniques, and tools used to predict future events based on historical data and delves into the various stages of the analytics life cycle. This training can help various professionals, including:

• Data Scientists
• Business Analysts
• Marketing Analysts
• Financial Analysts
• Business Intelligence Professionals
• Risk Managers
• CRM Professionals

Prerequisites of the Predictive Analytics Course

There are no formal prerequisites required for attending this Predictive Analytics Training Course.

Predictive Analytics Course Overview

Predictive Analytics is a powerful tool in the data science domain that plays a crucial role in foreseeing unknown future events that organisations must navigate. Utilising techniques like data mining, modelling, statistics, Artificial Intelligence, and Machine Learning, predictive analytics empowers organisations to identify forthcoming risks and opportunities by deciphering patterns within transactional and historical data.

Proficiency in Predictive Analytics is indispensable for a range of professionals, including Data Scientists, Business Analysts, Marketing Experts, Financial Analysts, and decision-makers in diverse industries. As organisations seek a competitive edge, Predictive Analytics offers a strategic advantage, allowing professionals to anticipate market trends, customer behaviours, and operational efficiencies.

The Knowledge Academy’s 2-day course provides delegates with knowledge on essential aspects like data cleaning, feature creation, item sets, and association rules. This training equips delegates with the knowledge to uncover valuable patterns and associations within data. Regardless of their field, individuals keen on augmenting their data science skill set will benefit from this training, gaining familiarity with predictive modelling techniques.

Course Objectives

• To master the predictive analytics process, including data cleaning and feature creation
• To gain proficiency in uncovering valuable patterns and associations using itemsets and association rules
• To explore various predictive modelling techniques, such as logistic regression and Naïve Bayes
• To develop the skills to apply predictive models effectively in real-world scenarios
• To enhance decision-making by leveraging data-driven predictions and insights
• To empower organisations to become forward-looking and proactive using predictive analytics

By the end of this Data Science Training Course, the delegates will possess the skills to develop and apply predictive models effectively, enabling them to make data-driven predictions, optimise decision-making processes, and unlock new avenues for organisational growth.