Business Analytics(Degree) · Third Year · BAN310
Data Mining for Business Insights
Discover hidden patterns in vast amounts of corporate data. This course covers association rules, clustering, and classification techniques used to understand customer segments and market trends. For analysts in the Zambian banking sector, data mining is the key to identifying fraud and predicting credit risk. …
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Discover hidden patterns in vast amounts of corporate data. This course covers association rules, clustering, and classification techniques used to understand customer segments and market trends. For analysts in the Zambian banking sector, data mining is the key to identifying fraud and predicting credit risk. You will use specialized software to 'dig' through data and find high-value information. If the algorithms for K-means clustering or decision trees are proving difficult, 25schools offers step-by-step algorithmic walkthroughs and visual summaries. Our resources help you master the technical side of pattern recognition, ensuring you can provide the deep insights that Zambian companies need to remain competitive in a digital-first economy.
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