用生成式AI和Python进行数据分析

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.

结合人类的数据分析优势与AI和ChatGPT的强大能力。 《从生成式AI和Python开始数据 analytics》教您如何使用ChatGPT加速关键的数据分析任务。您将学习如何： - 为ChatGPT撰写优秀的提示； - 进行端到端的描述性数据分析； - 设置一个友好的数据分析环境； - 评估您的数据质量； - 制定战略性的分析计划； - 生成代码进行非文本数据分析； - 直接探索ChatGPT处理文本数据的方法； - 准备可靠的报告。 《从生成式AI和Python开始数据 analytics》展示了如何通过使用ChatGPT来提高您在数据 analytics 上的效率与成效。这里没有AI的浮夸宣传，相反，您可以获得一种可靠实用的建议，并且这些方法能够在实际工作中有效应用。学习如何提升自己的编码效率、开发新的分析方法以及调整您的工作流程，同时也能更好地理解这些工具所带来的风险和错误。 关于技术 生成式预训练变换器（GPT）AI模型如ChatGPT能够极大地加速您的数据分析流程，在某些情况下，原本需要数小时甚至几天的研究与分析工作现在可以被几分钟内由GPT产生的见解所替代。数据分析师可以通过使用ChatGPT完成大量的任务，包括规划和设计分析、生成基于代码的解决方案以及选择统计工具。 关于本书 《从生成式AI和Python开始数据 analytics》是一本指导您通过ChatGPT来增强并加速数据分析的指南。此书详细演示了这个领域的核心工具与方法，并以易于理解的电子商务示例为背景进行了说明。每一步都展示了如何让ChatGPT运用简单的纯英文提示实现特定的数据分析技术。本书由两位顶尖数据科学家和一位有经验的风险管理者共同撰写，专注于您每日都会面对的实际数据分析任务。每个主题都通过真实的ChatGPT对话记录进行解释，以展示最佳实践的提示工程应用情况。您可以迅速掌握ChatGPT的能力并了解何时何地应适当地使用它。此外，本书还提供了关于模型风险和错误方面的关键指导，帮助您充分利用其能力，并避免由于不了解这些工具的风险而陷入困境。

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