Data Science and Big Data Analytics

In today’s digital economy, organizations compete not just on products or services, but on how effectively they leverage data. The Data Science and Big Data Analytics course equips business participants with the analytical mindset and technological understanding needed to make informed, data-driven decisions.

Data Science integrates statistical reasoning, machine learning, and data visualization to uncover patterns, predict future trends, and support strategic planning. Big Data Analytics complements this by focusing on large-scale, high-velocity data generated from business operations, customers, markets, and digital platforms. It introduces students to modern tools and technologies—such as cloud analytics, Hadoop, Spark, and real-time dashboards—that enable scalable and impactful insights.

Designed for future managers and business leaders, the course emphasizes practical applications such as customer analytics, financial forecasting, operational optimization, social media intelligence, and risk management. Through hands-on exercises, case studies, and industry examples, students learn how to translate data into meaningful business value, drive innovation, and support evidence-based decision-making across all functional areas

The five days of MDP includes theory and practice on these topics:

Enabling managers to understand and apply data science techniques on big data in developing business Strategy towards, marketing, finance and operation and other application areas. The program also helps participants to understand and leverage on organizational unstructured data i.e text. Image and social media.

The participants would learn through an appropriate mix of lectures, interactive discussions, case studies, exercises, and assignments. Both conceptual and practical sides would be stressed throughout the programme.

Lecture, demonstration, hands-on exercises and project development and presentation.