Executive Development Programme in Retail Pricing & Data Science

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The Executive Development Programme in Retail Pricing & Data Science is a certificate course designed to equip learners with essential skills for career advancement in the retail industry. This programme is crucial for professionals seeking to stay updated with the latest trends and techniques in retail pricing and data science.

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With the increasing demand for data-driven decision-making in retail, this course offers learners the opportunity to gain a deep understanding of retail pricing strategies, customer analytics, and data modelling techniques. The course content is designed to provide learners with practical skills that can be applied in real-world retail scenarios, making them more competitive in the job market. By the end of the course, learners will be able to use data analytics tools and techniques to optimize pricing strategies, improve customer engagement, and enhance business performance. This course is an excellent investment for retail professionals looking to advance their careers and stay ahead in the rapidly evolving retail landscape.

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โ€ข Fundamentals of Retail Pricing: Understanding the basics of retail pricing strategies, pricing psychology, and price perception.
โ€ข Data Analysis for Retail Pricing: Introducing data analysis techniques, data visualization, and data-driven decision-making in retail pricing.
โ€ข Retail Pricing Models: Exploring various pricing models such as cost-plus pricing, value-based pricing, competitive pricing, and dynamic pricing.
โ€ข Data Science for Retail: Familiarizing with data science concepts, tools, and techniques and their application in retail.
โ€ข Predictive Analytics in Pricing: Applying predictive analytics to forecast price trends, customer behavior, and pricing optimization.
โ€ข Machine Learning for Retail Pricing: Implementing machine learning algorithms to understand customer segments, price elasticity, and price cannibalization.
โ€ข Retail Pricing Metrics: Measuring pricing effectiveness with metrics such as price gap, price index, and pricing contribution margin.
โ€ข Retail Pricing Software Tools: Using software tools for pricing optimization, markdown optimization, and price automation.
โ€ข Pricing Strategy for New Product Introduction: Developing pricing strategies for new product launches and product line extensions.

โ€ข Retail Pricing Case Studies: Analyzing real-world retail pricing case studies and best practices.

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EXECUTIVE DEVELOPMENT PROGRAMME IN RETAIL PRICING & DATA SCIENCE
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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