Starting Data Analytics with Generative AI and Python

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Free Download Starting Data Analytics with Generative AI and Python
by Artur Guja, Marlena Siwiak, and Marian Siwiak
English | 2024 | ISBN: 1633437213 | 360 pages | True/Retail EPUB | 5.88 MB

Accelerate your mastery of data analytics with the power of ChatGPT.
Whether you're brand new to data analysis or an experienced pro looking to do more work, faster,Starting Data Analytics with Generative AI and Pythonis here to help simplify and speed up your data analysis! Written by a pair of world-class data scientists and an experienced risk manager, the book concentrates on the practical analytics tasks you'll do every day.
InsideStarting Data Analytics with Generative AI and Pythonyou'll learn how to:
Write great prompts for ChatGPTPerform end-to-end descriptive analyticsSet up an AI-friendly data analytics environmentEvaluate the quality of your dataDevelop a strategic analysis planGenerate code to analyze non-text dataExplore text data directly with ChatGPTPrepare reliable reports
InStarting Data Analytics with Generative AI and Pythonyou'll learn how to improve your coding efficiency, generate new analytical approaches, and fine-tune data pipelines-all assisted by AI tools like ChatGPT. For each step in the data process, you'll discover how ChatGPT can implement data techniques from simple plain-English prompts. Plus, you'll develop a vital intuition about the risks and errors that still come with these tools.
About the technology
If you have basic knowledge of data analysis, this book will show you how to use ChatGPT to accelerate your essential data analytics work. This speed-up can be amazing: the authors report needing one third or even one quarter the time they needed before.
About the book
You'll find reliable and practical advice that works on the job. Improve problem exploration, generate new analytical approaches, and fine-tune your data pipelines-all while developing an intuition about the risks and errors that still come with AI tools. In the end, you'll be able to do significantly more work, do it faster, and get better results, without breaking a sweat.
Assuming only that you know the foundations, this friendly book guides you through the entire analysis process-from gathering and preparing raw data, data cleaning, generating code-based solutions, selecting statistical tools, and finally creating effective data presentations. With clearly-explained prompts to extract, interpret, and present data, it will raise your skills to a whole different level.
What's insideWrite great prompts for ChatGPTPerform end-to-end descriptive analyticsSet up an AI-friendly data analytics environmentEvaluate the quality of your dataDevelop a strategic analysis planGenerate code to analyze non-text dataExplore text data directly with ChatGPTPrepare reliable reports
About the author
AuthorsArtur Guja, Dr.Marlena Siwiak, and Dr.Marian Siwiakare experienced data scientists with backgrounds in business, scientific research, and finance.
The technical editor on this book wasMike Jensen.
Table of Contents
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 Using generative AI for result interpretations
5 Basic text mining using generative AI
6 Advanced text mining with generative AI
7 Scaling and performance optimization
8 Risk, mitigation, and tradeoffs
Appendix A Specifying multiple DataFrames to ChatGPT v4
Appendix B On debugging...



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