Generative AI, Books

Book Review: Generative AI for Data Analytics

A preliminary review of the book Generative AI for Data Analytics by Artur Guja, Marlena Siwiak, and Marian Siwiak on how to use generative AI tools to assist you in your journey as a data analyst

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Image kindly provided by Manning Publications

Over the last year, we have been assisted in developing articles, videos, and tutorials on how to use generative AI to perform a given task. Most focus on specific examples and how to implement them through generative AI. The book Generative AI for Data Analytics by Artur Guja, Marlena Siwiak, and Marian Siwiak is different because it helps you see generative AI as your personal teammate (despite its limitations). Let’s see how the book is organized.

The Book outline

  1. Introduction to the use of Generative AI in Data Analytics
  2. Using Generative AI to ensure sufficient Data Quality
  3. Descriptive analysis and statistical inference supported by Generative AI
  4. Utilizing Generative AI for result interpretation and formulating recommendations
  5. Basic Text Mining using Generative AI
  6. Advanced Text Mining with…

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Angelica Lo Duca
IT Books, Courses, and Training Programs

Researcher | +50k monthly views | I write on Data Science, Python, Tutorials, and, occasionally, Web Applications | Book Author of Comet for Data Science