(IBM) Data Science & Predictive Analytics for Business Intelligence
About This Course
LU1: Fundamentals of Statistical Techniques in Business Analytics
LO1: Analyse business data using appropriate statistical techniques to uncover trends or risks
LU2: Predictive Analytics and Data Modelling
LO2 : Develop appropriate predictive analytics techniques to conduct forecasting analysis on complex business data sets
LU3: Segmentation Modelling and Big Data Analytics
LO3: Implement segmentation models and big data techniques to examine business trends or risks and facilitate analytical discussions
LU4: Evaluating Analytical Performance in Business Decision-Making
LO4: Assess and optimise analytical models for business impact
What You'll Learn
You will learn how to analyse business data using appropriate statistical techniques to uncover trends and risks, develop predictive analytics for forecasting complex datasets, implement segmentation models and big data techniques to examine business patterns, and assess analytical models to optimise their impact on business outcomes.
Entry Requirements
Able to speak, listen, write, and read English with Numeracy skills at a minimum proficiency level 4 of the Employability Skills System (i.e., Workplace Literacy and Numeracy, WPLN). Possess Secondary School educational level qualification (O or N-Level). Participants must have basic data and statistical analytics experience. Learners must bring their own laptop with Windows 10/11 or macOS 10.15+ operating system.