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Starting Data Analytics with Generative AI and Python - BaDshaH - 10-14-2024
![[Image: 497c3903ab1b37890b6404f50ab2f2e8.jpg]](https://i124.fastpic.org/big/2024/1014/e8/497c3903ab1b37890b6404f50ab2f2e8.jpg)
Starting Data Analytics with Generative AI and Python
English | 2024 | ISBN: 1633437213 | 362 pages | True PDF | 15.49 MB
Combine the best of human data analysis with the power of AI and ChatGPT.
Starting Data Analytics with Generative AI and Python teaches you how to accelerate essential data analytics tasks using ChatGPT. You'll learn how to
Write great prompts for ChatGPT
Perform end-to-end descriptive analytics
Set up an AI-friendly data analytics environment
Evaluate the quality of your data
Developing a strategic analysis plan
Generate code to analyze non-text data
Explore text data directly with ChatGPT
Prepare reliable reports
Starting Data Analytics with Generative AI and Python shows you how to improve the efficiency and outcomes of your data analytics by using ChatGPT. There's no AI hype here. Instead, you'll find reliable and practical advice that works on the job. Learn how to improve your coding efficiency, generate new analytical approaches, and fine-tune your pipelines-all while developing an intuition about the risks and errors that still come with these tools. In the end, you'll be able to do more work, do it faster, and get better results.
About the technology
Generative Pre-trained Transformer (GPT) AI models like ChatGPT can turbocharge your analytical workflow by generating insights in minutes that might otherwise take hours or days of work and research. A data analyst can use ChatGPT for a huge variety of tasks, including planning and designing analyses, generating code-based solutions, and selecting statistical tools.
About the book
Starting Data Analytics with Generative AI and Python is a guide to enhancing and accelerating data analytics using ChatGPT. This book walks you through the full analytics pipeline, demonstrating the discipline's core tools and methods with an easy-to-understand e-commerce example. For each step in the process, you'll discover how ChatGPT can implement data techniques from simple plain-English prompts.
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. Each topic is illustrated with transcripts of authentic ChatGPT conversations, showing best practice prompt engineering in action. You'll rapidly realize ChatGPT's potential and learn how and when to apply it appropriately. The book provides vital guidance on the model's risks and mistakes so you can make the most of its capabilities without being blindsided by its shortcomings.