Starting Data Analytics with Generative AI and Python
Artur Guja
Sold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since 14 August 2006
New - Soft cover
Condition: New
Ships from Germany to U.S.A.
Quantity: 2 available
Add to basketSold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since 14 August 2006
Condition: New
Quantity: 2 available
Add to basketNeuware - Accelerate your mastery of data analytics with the power of ChatGPT.Whether you're a data novice or an experienced pro looking to do more work, faster, Starting Data Analytics with Generative AI and Python is 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. Inside Starting Data Analytics with Generative AI and Python 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 Develop a strategic analysis plan Generate code to analyze non-text data Explore text data directly with ChatGPT Prepare reliable reports In Starting Data Analytics with Generative AI and Python you 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. Purchase of the print book includes a free Elektronisches Buch in PDF and ePub formats from Manning Publications. 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 inside 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 Develop a strategic analysis plan Generate code to analyze non-text data Explore text data directly with ChatGPT Prepare reliable reports About the author Authors Artur Guja, Dr. Marlena Siwiak, and Dr. Marian Siwiak are experienced data scientists with backgrounds in business, scientific research, and finance. The technical editor on this book was Mike 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 ChatGPT s code Appendix C On laziness and human errors.
Seller Inventory # 9781633437210
Combine the best of human data analysis with the power of AI and ChatGPT.
Generative AI for Data Analytics teaches you how to accelerate essential data analytics tasks using ChatGPT. You'll learn how to:
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 Author
Artur Guja is a risk manager, computer scientist, systems developer, and financial markets professional with over 20 years of experience in the banking sector, delivering safe and practical solutions across IT, risk management, and financial product trading.
Dr. Marlena Siwiak is an experienced data scientist and bioinformatician with a comprehensive scientific background who gained experience in developing business data applications. An individual who knows how to use both numbers and words.
Dr. Marian Siwiak is a data scientist and strategist with a track record of using data knowledge and managerial experience to successfully deliver multimillion IT, scientific and technical projects covering various areas, from life sciences to robotics.
"About this title" may belong to another edition of this title.
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