Back to Generative AI: Elevate your Business Intelligence Career
Learner Reviews & Feedback for Generative AI: Elevate your Business Intelligence Career by SkillUp EdTech
11 ratings
About the Course
Do you want to enhance your career in business intelligence (BI) by leveraging generative AI? This course discusses the use cases for leveraging generative AI across different stages of the BI lifecycle.
The course teaches how generative AI-based tools enable querying databases, documents, and spreadsheets using natural language and AI. You will learn about SQL generation using AI tools and data analysis through clustering and segmentation.
You will learn how generative AI can be useful for interactive data visualizations, including generating data infographics and dashboards. Using generative AI tools, you will learn to create and analyze reports and presentations. You will learn about text generation and summarization through generative AI and conversational interfaces in BI.
The course also provides useful insights into ethical considerations, challenges, and limitations of using generative AI for BI.
The course offers hands-on labs and a project to showcase your proficiency in applying generative AI to different use cases in the BI domain.
With a blend of theory, hands-on labs, and real-world case studies, you’ll effectively use cutting-edge BI tools and techniques for business success.
You will also hear from practitioners about the potential and capabilities of generative AI to transform your HR career.
This course is suitable for existing BI Analysts as well as those starting their careers in this domain.
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1 - 2 of 2 Reviews for Generative AI: Elevate your Business Intelligence Career
By Sujit M
•Oct 3, 2024
Liked getting exposure some of the tools out there than can help with BI tasks or could be a potential replacement. However, considering adoption of AI still some data security and ethical considerations, for applying the skills, might have to wait!
By Juris U
•Mar 15, 2025
Good didactics, but the choice of tools required for completing independent tasks was not optimal, choosing IBM tools would be better.