About Course
Course Overview
A practical, retail‑focused course that teaches learners how to use data to understand customer behaviour, optimise product performance, improve store operations, and drive revenue growth. The course covers sales forecasting, basket analysis, pricing and promotion analytics, inventory optimisation, channel performance, and data‑driven decision‑making across physical stores, e‑commerce, and omnichannel retail environments.
Target Audience
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Retail analysts, merchandisers, and category managers
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Store operations, supply chain, and inventory teams
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E‑commerce, digital marketing, and CRM professionals
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Data analysts, BI developers, and decision‑support teams
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Students or professionals entering retail, merchandising, or analytics roles
Course Outcomes
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Understand retail data sources, KPIs, and performance frameworks
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Analyse sales trends, product performance, and customer buying patterns
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Apply forecasting techniques for demand, revenue, and inventory planning
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Use basket analysis to identify cross‑sell, upsell, and product affinity opportunities
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Evaluate pricing, promotions, and markdown strategies using data
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Build dashboards for store performance, category insights, and customer metrics
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Identify operational inefficiencies, stock issues, and revenue opportunities
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Communicate retail insights clearly to merchandising, operations, and leadership teams
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