Certificate in Product Discovery & Recommendations

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The Certificate in Product Discovery & Recommendations course is a comprehensive program designed to equip learners with essential skills in product discovery and recommendation techniques. This course is vital for professionals looking to excel in data analysis, machine learning, and product management roles.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In today's data-driven economy, there is a high demand for professionals who can leverage data to make informed product decisions. This course provides learners with hands-on experience in developing and implementing product discovery and recommendation strategies, making them highly valuable to employers. By completing this course, learners will gain a deep understanding of the latest tools and techniques used in product discovery and recommendation, including data mining, machine learning, and user behavior analysis. This knowledge will empower learners to drive innovation, improve user experiences, and increase revenue for their organizations, leading to exciting career advancement opportunities.

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Product Discovery Fundamentals  
โ€ข Understanding User Needs & Behavior  
โ€ข Market Research & Competitive Analysis  
โ€ข Data Analysis for Product Discovery  
โ€ข Idea Generation & Brainstorming Techniques  
โ€ข Prototyping & User Testing  
โ€ข Product Recommendation Algorithms  
โ€ข Personalization Strategies in Product Recommendations  
โ€ข Evaluating Recommendation System Performance  
โ€ข Ethical Considerations in Product Discovery & Recommendations  

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

In the bustling world of Product Discovery & Recommendations, several key roles drive success. Let's explore these roles and understand their significance. 1. **Product Manager**: Wielding a 45% share, Product Managers are indispensable, leading cross-functional teams and driving product strategy. 2. **Data Scientist**: Holding a 25% stake, Data Scientists analyze complex datasets to uncover hidden patterns, driving data-driven decisions. 3. **Business Analyst**: With a 15% slice, Business Analysts bridge the gap between IT and business, ensuring data-supported strategies. 4. **Software Engineer**: Claiming a 15% portion, Software Engineers develop and maintain software solutions, empowering Product Discovery & Recommendations.

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ใ“ใฎใ‚ณใƒผใ‚นใ‚’ไป–ใฎใ‚ณใƒผใ‚นใจๅŒบๅˆฅใ™ใ‚‹ใ‚‚ใฎใฏไฝ•ใงใ™ใ‹๏ผŸ

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
CERTIFICATE IN PRODUCT DISCOVERY & RECOMMENDATIONS
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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