Курс от CourseraThis course comprises three insightful videos that explore the application of Generative AI (Gen AI) in data analytics. The course is structured to provide an understanding of Gen AI without hands-on practice or assessments. The first video introduces the concept of Gen AI, distinguishing it from traditional AI and highlighting its unique capabilities, particularly in the context of data analysis. It sets the stage for understanding GenAI's growing significance in this field. The second video delves into the practical use of GenAI in data analysis, presenting real-world examples to illustrate how GenAI can enhance various stages of the data analysis process, from preprocessing to advanced analytics. The final video focuses on selecting appropriate GenAI tools for data analysis, discussing options like Streamlit, advanced SQL language models, and vector databases with RAG models. It includes practical examples such as a climate scientist using Streamlit for data visualization and a marketer leveraging language models for SQL queries, guiding learners on how to effectively integrate these tools into their data analytics workflow.
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