What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of Generative AI for Business Intelligence (BI) Analysts Specialization
Instructors: Skill-Up EdTech Team
1,664 already enrolled
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Recommended experience
Intermediate level
This course is suitable for individuals with a background in Business Intelligence and basic knowledge of generative AI.
(10 reviews)
Recommended experience
Intermediate level
This course is suitable for individuals with a background in Business Intelligence and basic knowledge of generative AI.
Explain the role of generative AI in every stage of the BI lifecycle.
Use generative AI to improve data handling and analysis in BI.
Leverage generative AI-powered tools for enhanced data visualization and reporting in BI.
Discuss ethical considerations and challenges in implementing generative AI in BI.
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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.
In this module, you will explore the role of generative AI across the different stages of the BI lifecycle. You will learn about the generative AI tools and technologies that can be leveraged to enhance BI. You will also explore how to generate synthetic data, detect anomalies, and handle missing data. The hands-on labs will enable you to experience data cleansing.
5 videos3 readings2 assignments1 app item2 plugins
This module focuses on 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. Hands-on labs will provide practical experience in querying, SQL, and data analysis.
4 videos1 reading2 assignments1 app item1 discussion prompt2 plugins
This module helps you explore interactive data visualization and the generation of infographics. You will learn how to automate visualization and create dashboards using AI tools. The hands-on labs will enable you to experience data visualization and dashboards. Further, the module focuses on creating reports and presentations using AI. You will learn about text generation and summarization and gain insight into conversational interfaces in BI. Hands-on labs will provide you with practical experience in data reporting.
6 videos3 readings3 assignments1 discussion prompt2 plugins
In this module, you will learn about the ethical considerations, challenges, and limitations of using generative AI for BI. You will also explore the future trends in BI in the context of generative AI. This module includes a hands-on project that allows one to practice the generative AI concepts and tools learned in the course to optimize the BI experience. Additionally, it consists of a graded quiz to evaluate your mastery of the concepts covered throughout the course. A glossary aids the understanding of key terms related to generative AI in customer support. Finally, it guides you toward the next steps in your learning journey.
4 videos2 readings2 assignments4 plugins
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