Smarter Business Analytics
About This Course
In today’s data-rich business environment, the ability to derive actionable insights from complex datasets is no longer a niche skill—it’s a strategic imperative. This 4-day course empowers professionals to harness the power of statistical reasoning to transform raw data into business value. Without requiring coding expertise, learners will learn to interpret data, generate visual narratives, and apply automated insights to real-world decisions. Through the application of Computational data modelling techniques to explore patterns, relationships, and trends, the course makes use of high-level analytics tools and generative Artificial Intelligence (AI) to bridge foundational statistics with modern AI-enabled analysis, enabling learners to become confident, data-literate contributors in their organizations. Ethical governance and the establishment of robust guardrails for AI adoption will be emphasized throughout this course.
What You'll Learn
• Understand key statistical concepts:
Describe descriptive and inferential statistics (e.g., mean, standard deviation, p-values) and explain their relevance in business decision making.
• Explore data distributions:
Identify central tendencies, variability, outliers, and trends, and interpret visualizations such as histograms and box plots using relevant tools including Generative Artificial Intelligence (GenAI) tools.
• Apply regression techniques:
Conduct linear and logistic regression for predictive analysis, and interpret outputs (e.g., coefficients, R² values) coupled with GenAI-generated explanations.
• Implement classification models:
Use decision trees and logistic regression for tasks like churn prediction and evaluate model performance with GenAI assistance.
• Perform customer segmentation:
Apply clustering algorithms (e.g., k-means) and construct meaningful segment profiles with GenAI support for business decision-making.
• Validate statistical models:
Test assumptions (e.g., normality, multicollinearity) and enhance model robustness using GenAI-driven feedback and recommendations.
Entry Requirements
Working Professionals with 1 year experience