April 2025
Intermediate to advanced
232 pages
6h 56m
English
Overview
Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, Open AI, Google, Hugging Face, and more!
Data Analysis with LLMs teaches you to use the new generation of AI assistants and Large Language Models (LLMs) to aid and accelerate common data science tasks.
Learn how to use LLMs to:
All practical, Data Analysis with LLMs takes you from your first prompts through advanced techniques like creating LLM-based agents for data analysis and fine-tuning existing models. You’ll learn how to extract data, build natural language query interfaces, and much more.
About the Technology
Large Language Models (LLMs) can streamline and accelerate almost any data science task. Master the techniques in this book, and you’ll be able to analyze large amounts of text, tabular and graph data, images, videos, and more with clear natural language prompts and a few lines of Python code.
About the Book
Data Analysis with LLMs shows you exactly how to integrate generative AI into your day-to-day work as a data scientist. In it, Cornell professor Immanuel Trummer guides you through a series of engaging projects that introduce OpenAI’s Python library, tools like LangChain and LlamaIndex, and LLMs from Anthropic, Cohere, and Hugging Face. As you go, you’ll use AI to query structured and unstructured data, analyze sound and images, and optimize the cost and quality of your data analysis process.
What's Inside
About the Reader
For data scientists and data analysts who know the basics of Python.
About the Author
Immanuel Trummer is an associate professor of computer science at Cornell University and a member of the Cornell Database Group.
Quotes
Comprehensive, insightful, and packed with hands-on guidance. A must-read!
- Oren Etzioni, Allen Institute of AI
Goes into the deep and fascinating areas that other books gloss over. It will level you up fast.
- Andrew Carr, Cartwheel
Helps you make LLMs an indispensable tool to process data of all types and uncover valuable insights with ease.
- Aditya Parameswaran, University of California, Berkeley
A valuable resource to leverage LLMs for multimodal data analysis.
- Sumit Bhattacharyya, TELUS Health
Data Analysis with LLMs teaches you to use the new generation of AI assistants and Large Language Models (LLMs) to aid and accelerate common data science tasks.
Learn how to use LLMs to:
- Analyze text, tables, images, and audio files
- Extract information from multi-modal data lakes
- Classify, cluster, transform, and query multimodal data
- Build natural language query interfaces over structured data sources
- Use LangChain to build complex data analysis pipelines
- Prompt engineering and model configuration
All practical, Data Analysis with LLMs takes you from your first prompts through advanced techniques like creating LLM-based agents for data analysis and fine-tuning existing models. You’ll learn how to extract data, build natural language query interfaces, and much more.
About the Technology
Large Language Models (LLMs) can streamline and accelerate almost any data science task. Master the techniques in this book, and you’ll be able to analyze large amounts of text, tabular and graph data, images, videos, and more with clear natural language prompts and a few lines of Python code.
About the Book
Data Analysis with LLMs shows you exactly how to integrate generative AI into your day-to-day work as a data scientist. In it, Cornell professor Immanuel Trummer guides you through a series of engaging projects that introduce OpenAI’s Python library, tools like LangChain and LlamaIndex, and LLMs from Anthropic, Cohere, and Hugging Face. As you go, you’ll use AI to query structured and unstructured data, analyze sound and images, and optimize the cost and quality of your data analysis process.
What's Inside
- Classify, cluster, transform, and query multimodal data
- Build natural language query interfaces over structured data sources
- Create LLM-based agents for autonomous data analysis
- Prompt engineering and model configuration
About the Reader
For data scientists and data analysts who know the basics of Python.
About the Author
Immanuel Trummer is an associate professor of computer science at Cornell University and a member of the Cornell Database Group.
Quotes
Comprehensive, insightful, and packed with hands-on guidance. A must-read!
- Oren Etzioni, Allen Institute of AI
Goes into the deep and fascinating areas that other books gloss over. It will level you up fast.
- Andrew Carr, Cartwheel
Helps you make LLMs an indispensable tool to process data of all types and uncover valuable insights with ease.
- Aditya Parameswaran, University of California, Berkeley
A valuable resource to leverage LLMs for multimodal data analysis.
- Sumit Bhattacharyya, TELUS Health
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