Business Intelligent and Data Analytics

Overview

Data has emerged as a new asset class that is yet to be fully leveraged by businesses to create new value. Consumers and businesses alike create terabytes of data every day that remains largely uncaptured and underutilized due to lack of skills and competencies in harnessing its true value.

Data is a vital input in achieving customer engagement, delivery of exceptional user experience, opportunity discovery, process improvement, decision support and business performance improvement.

Suboptimal data skills or lack thereof, and weak data culture in organizations remain the single largest impediments to the realization of unlocked value in data. As businesses continue to grapple with what decision models to adopt, the need for data science as competence is expected to rise exponentially

Programme Modules

The primary objective of the course is to impart participants with knowledge on:

• Fundamentals of business intelligence and data analytics
• Data and types of data – Context: structured and unstructured data
• Best practices in data handling and management
• Data ethics – data protection, data privacy, etc.
• Data collection, hygiene and preparation of datasets (pre-processing)
• Hypothesis development (problem definition/use case development)
• Data analysis and analytics tools
• Data visualization
• Analysis interpretation
• Communicating insights

Key Learning Outcomes

After successful completion of this course, participants should be able to:

• conceptualize business problems
• determine the right data required for a given business problem
• perform data wrangling/preparation
• perform exploratory data analysis
• visualize and interpret data/Data storytelling
• communicate insights
• unlock the value in data
• Understand the Ethics of data management/handling