Masterclass Certificate in AI & Customer Analytics

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The Masterclass Certificate in AI & Customer Analytics is a comprehensive course that equips learners with essential skills in artificial intelligence and customer data analysis. In today's data-driven world, businesses rely heavily on AI and customer analytics to make informed decisions, drive customer engagement, and gain a competitive edge.

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This course is designed to meet the growing industry demand for professionals who can leverage AI and customer analytics to improve business outcomes. It covers a range of topics, including data visualization, machine learning, predictive analytics, and natural language processing. By completing this course, learners will gain practical skills and experience in using AI and customer analytics tools and techniques to extract insights from complex data sets. They will also learn how to communicate these insights effectively to stakeholders, making them valuable assets in any data-driven organization. Overall, this course is an excellent investment for professionals looking to advance their careers in AI and customer analytics.

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โ€ข Unit 1: Introduction to AI & Customer Analytics
โ€ข Unit 2: Data Mining and Preprocessing
โ€ข Unit 3: Machine Learning Fundamentals
โ€ข Unit 4: Natural Language Processing (NLP) and Text Analytics
โ€ข Unit 5: Predictive Analytics using AI
โ€ข Unit 6: Computer Vision and Image Analytics
โ€ข Unit 7: Deep Learning and Neural Networks
โ€ข Unit 8: AI in Customer Segmentation and Personalization
โ€ข Unit 9: AI-driven Customer Sentiment Analysis
โ€ข Unit 10: Real-world Applications and Case Studies in AI & Customer Analytics

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This section provides a 3D pie chart showcasing AI & Customer Analytics job market trends in the UK, utilizing the Google Charts library. The chart consists of five prominent roles in the industry, including AI Engineer, Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Developer. The is3D option is set to true, enabling a visually appealing 3D effect. The chart is responsive, adapting to different screen sizes due to the width being set to 100% and height to 400px. The backgroundColor option is set to transparent, and the chartArea's width and height are set to 80% to optimize the layout and spacing. Additionally, the legend is positioned at the bottom, aligned in the center, for better readability.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
MASTERCLASS CERTIFICATE IN AI & CUSTOMER ANALYTICS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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