Discover tools, methods and software packages used in data analytics to collect, organize, and prepare clean data for analysis.
Application of data-driven predictive models to solve real-life business problems in operations, marketing, finance and other business functions. Techniques covered include decision trees, classification and association rules, and cluster analysis.
Explore and understand the fast-moving and recent technological improvements in various industries and how they change the conventional thinking and trading in the banking and finance industry.
Advanced quantitative decision-making and problem-solving skills in business environments with data and fact-based analysis. Techniques such as data-driven optimization, deterministic and probabilistic modeling, and simulation are covered through case studies.
Develop and implement marketing strategies driven by data analytic techniques. Key marketing concepts will be integrated with segmentation analytics and social media analytics.
Optimal design and management of supply chains with analytical tools. Topics include network design, inventory management, transportation, contracting, coordination and collaboration, capacity management, and customer-supplier relations.
A data-driven approach to the analysis of the international business environment. Use of data analytics to appraise emerging trends in a country/region/world business environment and derive strategic implications for business enterprises.