Executive Development Programme in Tableau: Retail Data for Competitive Advantage

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The Executive Development Programme in Tableau: Retail Data for Competitive Advantage is a certificate course designed to enhance data analysis skills in the retail industry. This program emphasizes the importance of harnessing data-driven insights to gain a competitive edge, addressing a high industry demand for professionals with advanced data visualization skills.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

Throughout the course, learners will master using Tableau to analyze and visualize retail data, enabling them to identify trends, patterns, and opportunities. Key modules cover essential topics such as data preparation, dashboard creation, and storytelling with data. By completing this course, learners will be equipped with in-demand skills and tools to make informed, data-driven decisions, leading to career advancement opportunities and increased value in the job market. Stand out as a retail data expert and drive strategic initiatives with actionable insights gained from this certificate program.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

Units
○ Introduction to Tableau & Data Visualization
○ Retail Data Analysis: An Overview
○ Data Preparation for Retail Data in Tableau
○ Visualizing Retail Sales Data with Tableau
○ Inventory Management & Analysis in Retail
○ Customer Segmentation & Behavior Analysis
○ Retail Market Basket Analysis using Tableau
○ Tableau Dashboards & Stories for Retail Insights
○ Advanced Tableau Techniques for Retail Data
○ Utilizing Tableau for Competitive Advantage in Retail

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In today's retail industry, data has become a critical asset for achieving competitive advantage. With the increasing demand for skilled professionals in this field, understanding relevant job market trends, salary ranges, and skill sets is essential for an effective Executive Development Programme. Our 3D Google Charts pie chart illustrates the distribution of roles in retail data, emphasizing the industry's need for professionals with expertise in data analysis, business intelligence development, data science, engineering, and visualization. The retail data analyst role takes up 30% of the market, highlighting the significance of interpreting patterns, trends, and insights from complex data sets for informed decision-making. Retail business intelligence developers, responsible for creating data-driven applications and tools, represent 25% of the job market. Retail data scientists, who design and implement data models, algorithms, and predictive models, account for 20% of the market, while retail data engineers, focused on the architecture and infrastructure to handle big data, comprise 15%. Finally, retail data visualization specialists, who create engaging and interactive visualizations, make up the remaining 10%. This comprehensive overview of retail data roles helps learners identify potential career paths, while organizations can use this information to make informed decisions about talent acquisition and development. Stay ahead in the competitive retail landscape by leveraging our Executive Development Programme, tailored to the evolving demands of the industry.

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN TABLEAU: RETAIL DATA FOR COMPETITIVE ADVANTAGE
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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