Курс от CourseraUnlock the next generation of Business Intelligence capabilities with this course on Emerging BI Practices & AI Integration. You’ll learn how to clean and standardize messy or semi-structured data using advanced parsing techniques, then explore how Large Language Models (LLMs) can enhance BI workflows through prompt engineering, automated analysis, and feature extraction from unstructured text. The course also covers generative AI applications such as synthetic data creation for testing, anomaly detection, and AI-assisted visualization and reporting. Through modules from IBM, Maven Analytics, Microsoft, and SkillUp, you’ll gain practical experience applying AI tools to real BI tasks—from SQL troubleshooting to narrative generation and report automation. You’ll also discover how generative models support richer insights, faster development cycles, and more dynamic reporting environments. Designed for BI professionals seeking to integrate AI into their analytics stack, this course equips you with the skills to modernize data pipelines, enhance reporting workflows, and leverage LLMs to produce more accurate, scalable, and insight-driven BI solutions.
8 модулей · 16 учебных материалов

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