| chatgpt prompts for data analysis: Automated Data Analytics Soraya Sedkaoui, 2024-10-11 The human mind is endowed with a remarkable capacity for creative synthesis between intuition and reason; this mental alchemy is the source of genius. A new synergy is emerging between human ingenuity and the computational capacity of generative AI models. Automated Data Analytics focuses on this fruitful collaboration between the two to unlock the full potential of data analysis. Together, human ethics and algorithmic productivity have created an alloy stronger than the sum of its parts. The future belongs to this symbiosis between heart and mind, human and machine. If we succeed in harmoniously combining our strengths, it will only be a matter of time before we discover new analytical horizons. This book sets out the foundations of this promising partnership, in which everyone makes their contribution to a common work of considerable scope. History is being forged before our very eyes. It is our responsibility to write it wisely, and to collectively pursue the ideal of augmented intelligence progress. |
| chatgpt prompts for data analysis: Ultimate Data Science Programming in Python Saurabh Chandrakar, 2024-09-25 DESCRIPTION In today's data-driven world, the ability to extract meaningful insights from vast datasets is crucial for success in various fields. This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization. Discover how to use Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This book also covers scientific computing with SciPy and integrates ChatGPT to boost your data science workflow. Designed for data scientists, analysts, and beginners, it offers a practical, hands-on approach to mastering data science fundamentals. With real-world applications and exercises, you will turn raw data into actionable insights, gaining a competitive edge. This book covers everything you need, including open-source libraries, Visual Explorer tools, and ChatGPT, making it a one-stop resource for Python-based data science. Readers will gain confidence after going through this book and we assure you that all the minute details have been taken into consideration while delivering the content. After reading, learning, and practicing from this book, we are sure that all IT professionals, novices, or job seekers will be able to work on data science projects thus proving their mettle. KEY FEATURES ● Master key Python libraries like NumPy, Pandas, and Seaborn for effective data analysis and visualization. ● Understand complex data science concepts through simple explanations and practical examples. ● Get hands-on experience with 300+ solved examples to solidify your Python data science skills. WHAT YOU WILL LEARN ● Learn to work with popular IDEs like VS Code and Jupyter Notebook for efficient Python development. ● Master open-source libraries such as NumPy, SciPy, Matplotlib, and Pandas through advanced, real-world examples. ● Utilize automated EDA tools like PyGWalker and AutoViz to simplify complex data analysis. ● Create sophisticated visualizations like heatmaps, FacetGrid, and box plots using Matplotlib and Seaborn. ● Efficiently handle missing data, outliers, and perform filtering, sorting, grouping, and aggregation using Pandas and Polars. WHO THIS BOOK IS FOR This book is ideal for diploma, undergraduate, and postgraduate students from engineering and science fields to programming and software professionals. It is also perfect for data science, ML, and AI engineers looking to expand their expertise in cutting-edge technologies. TABLE OF CONTENTS 1. Environmental Setup for Using Data Science Libraries in Python 2. Exploring Numpy Library for Data Science in Python 3. Exploring Array Manipulations in Numpy 4. Exploring Scipy Library for Data Science in Python 5. Line Plot exploration with Matplotlib Library 6. Charting Data With Various Visuals Using Matplotlib 7. Exploring Pandas Series for Data Science in Python 8. Exploring Pandas Dataframe for Data Science in Python 9. Advanced Dataframe Filtering Techniques 10. Exploring Polars Library for Data Science in Python 11. Exploring Expressions in Polars 12. Exploring Seaborn Library for Data Science in Python 13. Crafting Seaborn Plots: KDE, Line, Violin and Facets 14. Integrating Data Science Libraries with ChatGPT Prompts 15. Exploring Automated EDA Libraries for Machine Learning 16. Case Study Using Python Data Science Libraries |
| chatgpt prompts for data analysis: Killer ChatGPT Prompts Guy Hart-Davis, 2023-08-07 Unlock the full capabilities of ChatGPT at work, at home, and in your day-to-day By now, you’ve heard of ChatGPT and its incredible potential. You may even have tried to use it a few times just to see it in action for yourself. But have you ever wondered what ChatGPT is truly capable of? Killer ChatGPT Prompts: Harness the Power of AI for Success and Profit will show you the true power of Large Language Models (LLMs) like ChatGPT. In the book, veteran IT educator and trusted author Guy Hart-Davis shows you the exact prompts he’s discovered to unlock a huge variety of expert business writing, like emails and proposals, data analysis use cases, lesson plans, information exchange scripts, and more! You’ll also find: The perfect prompts for a huge array of job roles, including those in sales and marketing, web development, HR, customer support, and more Use cases for ChatGPT in the home, with your kids, and in your relationship Hundreds more prompts that will make your job, your home life, and your day-to-day so much easier There’s no doubt about it. LLMs—and ChatGPT—are here to stay. The only question is: Will you have the skills and the wherewithal to unleash its potential in your own life? Killer ChatGPT Prompts can guarantee that you will. |
| chatgpt prompts for data analysis: Data Analysis for Business, Economics, and Policy Gábor Békés, Gábor Kézdi, 2021-05-06 A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data. |
| chatgpt prompts for data analysis: 365 ChatGPT Prompts for Scholars: 50 Excel Tricks Included! Zara Mareuwine, 2023-04-04 ChatGPT prompts coverage: Reference management software: Zotero, Mendeley, and EndNote Data analysis software: SPSS, R, Stata, Atlas.ti, NVivo Writing and publishing software: Microsoft Word, LaTeX, Google Docs arXiv, SSRN, and ResearchGate Collaboration and communication tools: Slack, Microsoft Teams, and Zoom Note-taking software: Evernote, OneNote, and Notion Mind-mapping software: MindNode, XMind, and FreeMind Reference search engines: Google Scholar, Web of Science, and Scopus Project management software: Trello, Asana, and Jira Data visualization software: Tools such as Tableau, Plotly, and D3.js Text mining and natural language processing tools: NLTK, OpenNLP, and RapidMine |
| chatgpt prompts for data analysis: ChatGPT Prompts for Productivity: 10,000+ Prompts to Boost Your Work, Creativity, and Even Save Your Love Life Anusorn Soisa-ngim, 2024-10-03 Unlock the true potential of ChatGPT with over 10,000 carefully curated prompts! This comprehensive guide is designed to supercharge your productivity, spark creativity, and even help you navigate personal relationships. Whether you're an entrepreneur, content creator, or just someone looking to optimize their time, this book is your go-to resource for making ChatGPT work smarter for you. Inside, you’ll discover prompts that help with: Boosting productivity by streamlining tasks and workflows. Generating fresh ideas for content creation, marketing, and more. Building stronger personal connections through enhanced communication prompts. With clear instructions and actionable prompts, this book will help you harness AI for everyday success. Say goodbye to writer’s block, inefficiency, and stress—ChatGPT Prompts for Productivity is here to make your life easier. |
| chatgpt prompts for data analysis: How To Become A Data Scientist With ChatGPT: A Beginner's Guide to ChatGPT-Assisted Programming Rafiq Muhammad, 2024-01-13 Are you aspiring to become a data scientist but feeling overwhelmed by the challenges of coding in programming languages? Are you new to data science and don't know how to code in any programming language? Look no further; this book is your comprehensive solution. Master the fundamentals of code generation with ChatGPT, learn to craft effective prompts, and navigate the DOs and DON'Ts of this invaluable tool. This book tackles the problem many aspiring data scientists face: the lack of programming skills. It's a step-by-step guide that utilizes the transformative potential of ChatGPT to empower you to code efficiently, streamline complex data analytics, and become a successful data scientist. The book contains: The role of ChatGPT in Data Science ChatGPT for Data Analytics ChatGPT-assisted programming Step-by-step approach to code generation in ChatGPT for data science Case Studies to Demonstrate Data Analysis with ChatGPT Whether you are an experienced data scientist or just starting, this book will be your trusted ally in the journey. It explores real-world applications, deepens your understanding of predictive analytics, and supercharges your data science projects. Don't let programming hurdles hold you back. Let ChatGPT assist you on your path to becoming a data scientist. Are you ready to become a data scientist without a programming background? This book is your definitive guide to a future where ChatGPT empowers your journey to become a data scientist. |
| chatgpt prompts for data analysis: Strike Gold with ChatGPT: 500+ Prompts for Creativity, Revenue Generation, and Business Transformation Naveen Balani, In the ever-evolving landscape of technology, Artificial intelligence (AI) continues to make great strides, influencing industries and our lives in ways we could have never imagined. The latest revolution comes in the form of GPT-4, a powerful AI language model transforming how we think, create, and innovate. This book, Strike Gold with ChatGPT: 500+ Prompts for Creativity, Revenue Generation, and Business Transformation aims to be your trusted guide, providing you with a comprehensive collection of prompts designed to ignite your creativity, inspire new revenue streams, and fuel business transformation. This book serves a diverse audience, from entrepreneurs, business leaders, and professionals to students, hobbyists, and anyone keen on exploring the world of AI and its potential impact on their lives. With over 500 carefully crafted prompts spread across 50+ use cases and a wide range of industries, this guide is your one-stop-shop for harnessing the power of ChatGPT to enhance your expertise and generate new ideas. Throughout the book, you'll find in-depth explanations, real-world examples, and practical guidelines on how to effectively leverage ChatGPT for a variety of applications. Each chapter delves into different aspects of ChatGPT, prompt engineering, ethical considerations, advanced topics, and monetization strategies, ensuring a well-rounded understanding of the technology and its potential applications. As you embark on this exciting journey, approach this book with an open mind, a willingness to learn, and the determination to apply your newfound knowledge in creating meaningful and lasting change in your personal and professional life. Keep in mind that ChatGPT is an incredible tool, but ultimately, it's your creativity, expertise, and drive that will make all the difference. Are you ready to strike gold with ChatGPT? Let's dive into the world of AI-powered creativity and transformation together and unlock the endless possibilities that lie ahead! |
| chatgpt prompts for data analysis: Python 3 Using ChatGPT / GPT-4 Oswald Campesato, 2023-12-12 This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. Later, the book covers loops, conditional logic, and reserved words in Python. You will also see how to handle user input, manage exceptions, and work with command-line arguments. Next, the text transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including ChatGPT, GPT-4, and their competitors, are presented to give readers an understanding of the current AI landscape. The book also sheds light on the capabilities of ChatGPT, its strengths, weaknesses, and potential applications. In addition, you will learn how to generate a variety of Python 3 code samples via ChatGPT using the “Code Interpreter” plugin. Code samples and figures from the book are available for downloading. In essence, the book provides a modest bridge between the worlds of Python programming and AI, aiming to equip readers with the knowledge and skills to navigate both domains confidently. FEATURES Includes a chapter on how to generate a variety of Python 3 code samples via ChatGPT using the “Code Interpreter” plugin Covers basic concepts of Python 3 such as loops, conditional logic, reserved words, user input, manage exceptions, work with command-line arguments, and more Includes companion files for downloading with source code and figures |
| chatgpt prompts for data analysis: Pandas Cookbook Theodore Petrou, 2017-10-23 Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your data Practical, easy to implement recipes for quick solutions to common problems in data using pandas Who This Book Is For This book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory. What You Will Learn Master the fundamentals of pandas to quickly begin exploring any dataset Isolate any subset of data by properly selecting and querying the data Split data into independent groups before applying aggregations and transformations to each group Restructure data into tidy form to make data analysis and visualization easier Prepare real-world messy datasets for machine learning Combine and merge data from different sources through pandas SQL-like operations Utilize pandas unparalleled time series functionality Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and Seaborn In Detail This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter. Many advanced recipes combine several different features across the pandas library to generate results. Style and approach The author relies on his vast experience teaching pandas in a professional setting to deliver very detailed explanations for each line of code in all of the recipes. All code and dataset explanations exist in Jupyter Notebooks, an excellent interface for exploring data. |
| chatgpt prompts for data analysis: Python 3 and Machine Learning Using ChatGPT/GPT-4 Oswald Campesato, 2024-06-17 This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text. |
| chatgpt prompts for data analysis: Writing AI Prompts For Dummies Stephanie Diamond, Jeffrey Allan, 2024-05-07 Learn the art of writing effective AI prompts and break into an exciting new career field Writing AI Prompts For Dummies gets you started on the path toward becoming an “AI psychologist” capable of getting all types of output from AI systems. This book walks you through the process of mining great results from leading platforms, so you can save time, solve problems, explore creative ideas, conduct research, and beyond. Even if you’re brand new to using AI chatbots, you’ll be able to follow the jargon-free explanations and instructions inside to learn how to ask questions and make requests in terms any AI can understand. Then, you can convert your new skill into greater productivity in your life, or even into a new career. Prompt engineering is a fast-growing career opportunity with six-figure salaries attached. Who knows? This Dummies guide could be your launchpad to a future as an AI whisperer. Explore the top AI chatbots, creativity engines, and productivity tools Learn how to write basic text prompts that generate concise, effective output Create AI-generated photos and illustrations that match your vision Save time writing code, designing websites, or conducting research When asked “Who needs to learn prompt engineering?” ChatGPT clarifies: professionals, creatives, educators, scientists, and entrepreneurs in many fields can benefit an enhanced ability to use AI productively. And for anyone working in AI, natural language processing, or related areas, Writing AI Prompts For Dummies is simply a must. |
| chatgpt prompts for data analysis: Data-Driven Modelling and Predictive Analytics in Business and Finance Alex Khang, Rashmi Gujrati, Hayri Uygun, R. K. Tailor, Sanjaya Gaur, 2024-07-24 Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent. Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices. |
| chatgpt prompts for data analysis: The Journalist’s Toolbox Mike Reilley, 2023-12-22 Focusing on the how and why of digital reporting, this interactive textbook equips readers with all the skills they need to succeed in today’s multimedia reporting landscape. The Journalist’s Toolbox is an extension of the JournalistsToolbox.ai website, which provides links to tools, organized by beats and topics, as well as social channels, a newsletter, and more than 95 training videos relevant to journalists. This handbook offers a deep dive into these digital resources, explaining how they can be manipulated to build multimedia stories online and in broadcast. It covers all the basics of data journalism, fact-checking, using social media, editing and ethics, as well as video, photo, and audio production and storytelling. The book considers digital journalism from a global perspective, including examples and interviews with journalists from around the world. Packed full of hands-on exercises and insider tips, The Journalist’s Toolbox is an essential companion for students of online/digital journalism, multimedia storytelling and advanced reporting. This book will also make an ideal reference for practicing journalists looking to hone their craft. This book is supported by training videos, interactive charts and a pop-up glossary of key terms which are available as part of an interactive e-book+ or online for those using the print book. |
| chatgpt prompts for data analysis: Generative AI with chatgpt prototype Mr. Nikhil Chaurasia, Dr. Gourav Shrivastava, Dr. Saket Jain, Prof. Urmila Mahor, 2024-07-08 Generative AI with ChatGPT: A Comprehensive Guide delves into the transformative power of ChatGPT, developed by OpenAI. This book caters to enthusiasts, professionals, and scholars aiming to harness the potential of generative AI for diverse applications. Key Features: Unveiling ChatGPT: Conversing with Superintelligence Explore the foundations of generative AI and the capabilities of ChatGPT. Understand how it revolutionizes conversations and human-AI collaboration, and discover its broad applications. Prompt Engineering and ChatGPT Plugins Master prompt engineering to enhance ChatGPT's effectiveness. This section covers the fundamentals, advanced techniques, and the use of ChatGPT plugins to customize its functionalities for specific needs. ChatGPT for Productivity Learn to leverage ChatGPT to boost productivity across various fields. From mastering Excel and data science to creating content marketing plans and improving customer service, this section provides practical insights for using ChatGPT in social media marketing, SEO, content generation, email marketing, and project management. ChatGPT for Developers and Exploring ChatGPT API A valuable resource for developers, this section covers using ChatGPT for programming tasks, debugging, integrating features, and documenting code. Additionally, it offers essential knowledge about APIs, focusing on the OpenAI and ChatGPT API, to seamlessly integrate ChatGPT into applications. This comprehensive guide is your gateway to understanding and utilizing the remarkable capabilities of ChatGPT. |
| chatgpt prompts for data analysis: GPT-4 For Developers Oswald Campesato, 2024-01-30 This resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments. The book contains an assortment of Python 3.x code samples that were generated by ChatGPT and GPT-4. Chapter 1 provides an overview of ChatGPT and GPT-4, followed by a chapter which contains Python 3.x code samples for solving various programming tasks in Python. Chapter 3 contains code samples for data visualization, and Chapter 4 contains code samples for linear regression. The final chapter covers visualization with Gen AI (Generative AI) and DALL-E. Companion files with source code and figures are available for downloading. FEATURES Offers an all-encompassing view of ChatGPT and GPT-4, from basics to advanced topics, including functionalities, capabilities, and limitations Contains Python 3.x code samples demonstrating the application of GPT-4 in real-world scenarios Provides a forward-looking perspective on Generative AI and its integration with data visualization and DALL-E Includes companion files with source code, data sets, and figures |
| chatgpt prompts for data analysis: Computational Intelligence in Data Science Mieczyslaw Lech Owoc, |
| chatgpt prompts for data analysis: Java Basics Using ChatGPT/GPT-4 Oswald Campesato, 2023-12-28 This book is designed for those new to Java and interested in understanding how ChatGPT/GPT-4 can enhance programming. It offers a unique approach to learning Java, combining traditional hand-written code with cutting-edge ChatGPT-generated examples. The book covers the basics of Java programming and development environments, including understanding recursion, strings, arrays, fundamental data structures, algorithm analysis, queues and stacks, and follows with the role of ChatGPT in generating, explaining, and debugging code. Companion files with source code and figures available for downloading. It’s an essential resource for those starting Java programming and for anyone curious about the applications of ChatGPT in coding. FEATURES Combines hand-crafted Java code with ChatGPT-generated examples for a multifaceted learning experience Offers practical Java coding skills, with examples in recursion, data structures, and algorithm analysis Covers the capabilities of ChatGPT for code generation, debugging, and explanation, providing a modern perspective on programming Includes companion files for downloading with source code and figures |
| chatgpt prompts for data analysis: Intelligent Computing Kohei Arai, 2024 Explore the forefront of computing with the proceedings of the Computing Conference 2024. Featuring 165 carefully selected papers from a pool of 457 submissions, this collection encapsulates the cutting-edge research and innovation presented during the conference. Delve into a diverse range of topics, insights, and methodologies that shape the future of computing. Whether you're an academic, researcher, or enthusiast, this concise volume offers a snapshot of the dynamic and collaborative spirit defining the Computing Conference 2024. |
| chatgpt prompts for data analysis: Data Science in Production Ben Weber, 2020 Putting predictive models into production is one of the most direct ways that data scientists can add value to an organization. By learning how to build and deploy scalable model pipelines, data scientists can own more of the model production process and more rapidly deliver data products. This book provides a hands-on approach to scaling up Python code to work in distributed environments in order to build robust pipelines. Readers will learn how to set up machine learning models as web endpoints, serverless functions, and streaming pipelines using multiple cloud environments. It is intended for analytics practitioners with hands-on experience with Python libraries such as Pandas and scikit-learn, and will focus on scaling up prototype models to production. From startups to trillion dollar companies, data science is playing an important role in helping organizations maximize the value of their data. This book helps data scientists to level up their careers by taking ownership of data products with applied examples that demonstrate how to: Translate models developed on a laptop to scalable deployments in the cloud Develop end-to-end systems that automate data science workflows Own a data product from conception to production The accompanying Jupyter notebooks provide examples of scalable pipelines across multiple cloud environments, tools, and libraries (github.com/bgweber/DS_Production). Book Contents Here are the topics covered by Data Science in Production: Chapter 1: Introduction - This chapter will motivate the use of Python and discuss the discipline of applied data science, present the data sets, models, and cloud environments used throughout the book, and provide an overview of automated feature engineering. Chapter 2: Models as Web Endpoints - This chapter shows how to use web endpoints for consuming data and hosting machine learning models as endpoints using the Flask and Gunicorn libraries. We'll start with scikit-learn models and also set up a deep learning endpoint with Keras. Chapter 3: Models as Serverless Functions - This chapter will build upon the previous chapter and show how to set up model endpoints as serverless functions using AWS Lambda and GCP Cloud Functions. Chapter 4: Containers for Reproducible Models - This chapter will show how to use containers for deploying models with Docker. We'll also explore scaling up with ECS and Kubernetes, and building web applications with Plotly Dash. Chapter 5: Workflow Tools for Model Pipelines - This chapter focuses on scheduling automated workflows using Apache Airflow. We'll set up a model that pulls data from BigQuery, applies a model, and saves the results. Chapter 6: PySpark for Batch Modeling - This chapter will introduce readers to PySpark using the community edition of Databricks. We'll build a batch model pipeline that pulls data from a data lake, generates features, applies a model, and stores the results to a No SQL database. Chapter 7: Cloud Dataflow for Batch Modeling - This chapter will introduce the core components of Cloud Dataflow and implement a batch model pipeline for reading data from BigQuery, applying an ML model, and saving the results to Cloud Datastore. Chapter 8: Streaming Model Workflows - This chapter will introduce readers to Kafka and PubSub for streaming messages in a cloud environment. After working through this material, readers will learn how to use these message brokers to create streaming model pipelines with PySpark and Dataflow that provide near real-time predictions. Excerpts of these chapters are available on Medium (@bgweber), and a book sample is available on Leanpub. |
| chatgpt prompts for data analysis: 1337 Use Cases for ChatGPT & other Chatbots in the AI-Driven Era Florin Badita, 2023-01-03 1337 Use Cases for ChatGPT & other Chatbots in the AI-Driven Era is a book written by Florin Badita that explores the potential uses of advanced large language models (LLMs) like ChatGPT in various industries and scenarios. The book provides 1337 use cases and around 4000 examples of how these technologies can be applied in the future. The author, Florin Badita, is a data scientist, social entrepreneur, activist, and artist who has written about his experiences with data analysis on Medium. He is on the Forbes 30 under 30 list, a TedX speaker, and Landecker Democracy Fellow 2021-2022. He is known for his work in activism, founding the civic group Corruption Kills in 2015, GIS, data analysis, and data mining. The book covers a variety of tips and strategies, including how to avoid errors when converting between different units, how to provide context and examples to improve the LLM's understanding of the content, and how to use the Markdown language to format and style text in chatbot responses. The book is intended for anyone interested in learning more about the capabilities and potential uses of ChatGPT and other language models in the rapidly evolving world of artificial intelligence. After the introduction part and the Table of content, the book is split into 20 categories, each category then being split into smaller categories with at least one use-case and multiple examples A real example from the book: Category: 4 Science and technology [...] Sub-Category: 4.60 Robotics 4.60.1 Text Generation General example text prompt: Generate a description of a new robot design Formula: Generate [description] of [robot design] Specific examples of prompts: Generate a detailed description of a robot designed for underwater exploration Generate a brief overview of a robot designed for assisting with construction tasks Generate a marketing pitch for a robot designed to assist with household chores 4.60.2 Programming Assistance General example text prompt: Write code to implement a specific behavior in a robot Formula: Write code to [implement behavior] in [robot] Specific examples of prompts: Write code to make a robot follow a specific path using sensors and control algorithms Write code to make a robot respond to voice commands using natural language processing Write code to make a robot perform basic tasks in a manufacturing setting, such as moving objects from one location to another |
| chatgpt prompts for data analysis: Modern Data Analytics in Excel George Mount, 2024-04-26 If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics. George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel's latest features. You'll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You'll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration. Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to: Build repeatable data cleaning processes for Excel with Power Query Create relational data models and analysis measures with Power Pivot Pull data quickly with dynamic arrays Use AI to uncover patterns and trends from inside Excel Integrate Python functionality with Excel for automated analysis and reporting |
| chatgpt prompts for data analysis: Applications of GPT in Finance, Compliance, and Audit Alexander Hüsch, |
| chatgpt prompts for data analysis: The Secret to Getting Great Answers: ChatGPT's Art of Prompting Shu Chen Hou, Introducing The Secret to Getting Great Answers: ChatGPT's Art of Prompting - the ultimate guide to leveraging the power of ChatGPT to ask the right questions and get the best answers! Are you tired of getting lackluster responses to your questions? Do you struggle to come up with the right prompts to get the information you need? Look no further - ChatGPT is here to revolutionize the way you approach questioning and prompting. With The Secret to Getting Great Answers: ChatGPT's Art of Prompting, you'll learn the techniques and strategies needed to craft effective prompts that elicit detailed, informative responses. From understanding context and background information to leveraging comparisons and analogies, this comprehensive guide will equip you with the tools needed to ask the right questions and get the answers you need. This ebook includes: Tips for crafting well-crafted prompts that make a difference Strategies for encouraging elaboration and detail in responses Techniques for leveraging context and background information Best practices for breaking down complex questions into smaller parts Insights on customizing prompts for personal and professional use Whether you're a student, researcher, interviewer, or simply someone looking to improve their questioning skills, The Secret to Getting Great Answers: ChatGPT's Art of Prompting has everything you need to take your questioning abilities to the next level. Don't settle for mediocre answers - get the best responses possible with the power of ChatGPT. Order your copy of The Secret to Getting Great Answers: ChatGPT's Art of Prompting today and start asking the right questions! Happy prompting! |
| chatgpt prompts for data analysis: Data Feminism Catherine D'Ignazio, Lauren F. Klein, 2020-03-31 A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed. |
| chatgpt prompts for data analysis: Data Science for Web3 Gabriela Castillo Areco, 2023-12-29 Be part of the future of Web3, decoding blockchain data to build trust in the next-generation internet Key Features Build a deep understanding of the fundamentals of blockchain analytics Extract actionable business insights by modeling blockchain data Showcase your work and gain valuable experience to seize opportunities in the Web3 ecosystem Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionData is the new oil and Web3 is generating it at an unprecedented rate. Complete with practical examples, detailed explanations, and ideas for portfolio development, this comprehensive book serves as a step-by-step guide covering the industry best practices, tools, and resources needed to easily navigate the world of data in Web3. You’ll begin by acquiring a solid understanding of key blockchain concepts and the fundamental data science tools essential for Web3 projects. The subsequent chapters will help you explore the main data sources that can help address industry challenges, decode smart contracts, and build DeFi- and NFT-specific datasets. You’ll then tackle the complexities of feature engineering specific to blockchain data and familiarize yourself with diverse machine learning use cases that leverage Web3 data. The book includes interviews with industry leaders providing insights into their professional journeys to drive innovation in the Web 3 environment. Equipped with experience in handling crypto data, you’ll be able to demonstrate your skills in job interviews, academic pursuits, or when engaging potential clients. By the end of this book, you’ll have the essential tools to undertake end-to-end data science projects utilizing blockchain data, empowering you to help shape the next-generation internet.What you will learn Understand the core components of blockchain transactions and blocks Identify reliable sources of on-chain and off-chain data to build robust datasets Understand key Web3 business questions and how data science can offer solutions Build your skills to create and query NFT- and DeFi-specific datasets Implement a machine learning toolbox with real-world use cases in the Web3 space Who this book is for This book is designed for data professionals—data analysts, data scientists, or data engineers— and business professionals, aiming to acquire the skills for extracting data from the Web3 ecosystem, as it demonstrates how to effectively leverage data tools for in-depth analysis of blockchain transactional data. If you seek hands-on experience, you'll find value in the shared repository, enabling you to experiment with the provided solutions. While not mandatory, a basic understanding of statistics, machine learning, and Python will enhance your learning experience. |
| chatgpt prompts for data analysis: CSS3 and SVG with GPT-4 Oswald CAMPESATO, 2024-07-14 This book is designed to equip you with the knowledge and skills necessary to navigate the intersection of web development and artificial intelligence (AI). It covers various aspects of modern web development and AI technologies, with a particular emphasis on Generative AI, CSS3, SVG, JavaScript, HTML, and popular web features like 3D animations and gradients. By exploring these topics, readers will gain a deeper understanding of how AI can enhance web development processes and how to leverage AI models like GPT-4 to streamline development workflows. Web developers, UI/UX designers, and software engineers seeking to blend traditional web development skills with the latest AI technologies will find this book to be a valuable resource. |
| chatgpt prompts for data analysis: 7th International Conference on Gender Research Professor Carmen-Pilar Martí Ballester , 2024-04-25 These proceedings represent the work of contributors to the 7th International Conference on Gender Research (ICGR 2024), hosted by The Universitat Autonoma de Barcelona, Spain on 25-26 April 2024. The Conference Chair was Professor Carmen-Pilar Martí Ballester, from the Universitat Autonoma de Barcelona, Spain. ICGR is a well-established event on the academic research calendar and now in its 7th year the key aim of this diverse conference is to provide an opportunity for participants from different backgrounds and cultures to share ideas and meet the people who hold them. The scope of papers ensured an interesting two days. The subjects covered in these proceedings illustrate the wide range of topics that fall into this important and ever-growing area of research. |
| chatgpt prompts for data analysis: Data Analytics and Machine Learning Pushpa Singh, |
| chatgpt prompts for data analysis: Reuse and Software Quality Achilleas Achilleos, |
| chatgpt prompts for data analysis: Innovative Technologies and Learning Yueh-Min Huang, Tânia Rocha, 2023 This book constitutes the refereed proceedings of the 6th International Conference on Innovative Technologies and Learning, ICITL 2023, held in Porto, Portugal, during August 28-30, 2023. The 64 full papers included in this book were carefully reviewed and selected from 147 submissions. They cover a wide range of many different research topics, such as: artificial intelligence in education; computational thinking in education; design and framework of learning systems; pedagogies to innovative technologies and learning; STEM/STEAM education; VR/AR/MR/XR in education; and application and design of innovative learning software. |
| chatgpt prompts for data analysis: The Quick Guide to Prompt Engineering Ian Khan, 2024-03-26 Design and use generative AI prompts that get helpful and practical results In The Quick Guide to Prompt Engineering, renowned technology futurist, management consultant, and AI thought leader Ian Khan delivers a practical and insightful discussion on taking the first steps in understanding and learning how to use generative AI. In this concise and quick start guide, you will learn how to design and use prompts to get the most out of Large Language Model generative AI applications like ChatGPT, DALL-E, Google’s Bard, and more. In the book, you’ll explore how to understand generative artificial intelligence and how to engineer prompts in a wide variety of industry use cases. You’ll also find thoughtful and illuminating case studies and hands-on exercises, as well as step-by-step guides, to get you up to speed on prompt engineering in no time at all. The book has been written for the non-technical user to take the first steps in the world of generative AI. Along with a helpful glossary of common terms, lists of useful additional reading and resources, and other resources, you’ll get: Explanations of the basics of generative artificial intelligence that help you to learn what’s going on under the hood of ChatGPT and other LLMs Stepwise guides to creating effective, efficient, and ethical prompts that help you get the most utility possible from these exciting new tools Strategies for generating text, images, video, voice, music, and other audio from various publicly available artificial intelligence tools Perfect for anyone with an interest in one of the newest and most practical technological advancements recently released to the public, The Quick Guide to Prompt Engineering is a must-read for tech enthusiasts, marketers, content creators, technical professionals, data experts, and anyone else expected to understand and use generative AI at work or at home. No previous experience is required. |
| chatgpt prompts for data analysis: Build a Career in Data Science Emily Robinson, Jacqueline Nolis, 2020-03-24 Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder |
| chatgpt prompts for data analysis: Avoiding Data Pitfalls Ben Jones, 2019-11-19 Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls—some might say chasms—in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the data-reality gap that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on catching mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls. |
| chatgpt prompts for data analysis: HCI International 2024 Posters Constantine Stephanidis, |
| chatgpt prompts for data analysis: Summary of Jake L. Kent's ChatGPT 4 10000 Per Month Milkyway Media, 2024-01-18 Get the Summary of Jake L. Kent's ChatGPT 4 10000 Per Month in 20 minutes. Please note: This is a summary & not the original book. ChatGPT 4 10000 Per Month by Jake L. Kent explores the multifaceted applications of ChatGPT, an AI language model developed by OpenAI. The book delves into the model's training on diverse internet text data, its deep learning techniques, and its ability to generate human-like text, making it suitable for various uses such as customer support, content creation, and more. Kent discusses the potential of ChatGPT to inspire creativity, particularly in the entertainment industry, and its role in generating online income... |
| chatgpt prompts for data analysis: Redefining Education With Pandemic Pedagogies Lobalsamo, Teresa, Segreti, Dellannia, 2024-10-18 The COVID-19 Pandemic increased education, forcing educators worldwide to adapt swiftly to remote and hybrid teaching. However, many of these initial solutions proved to be temporary fixes, needing more sustainability and broader applicability. As the Pandemic persists, there is a pressing need to redefine education, transforming these ad-hoc responses into enduring pedagogical tools. This transition requires thoroughly examining the practices that emerged during the crisis and identifying those that can be refined and integrated into future educational models. Redefining Education With Pandemic Pedagogies offers a comprehensive solution to the challenge of utilizing pedagogies developed during the COVID-19 Pandemic to reform educational practices, inviting contributions from academic professionals who have navigated these transformations firsthand. This edited volume provides a platform to share experiences, insights, and innovative practices that have emerged from the crisis. By showcasing these lessons, the book aims to establish a framework for sustainable, adaptable pedagogies that can transcend the current situation and shape the future of education. |
| chatgpt prompts for data analysis: Advanced Intelligent Computing in Bioinformatics De-Shuang Huang, |
| chatgpt prompts for data analysis: Generative Intelligence and Intelligent Tutoring Systems Angelo Sifaleras, |
| chatgpt prompts for data analysis: Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation Sharma, Ramesh C., Bozkurt, Aras, 2024-02-07 The rise of generative Artificial Intelligence (AI) signifies a momentous stride in the evolution of Large Language Models (LLMs) within the expansive sphere of Natural Language Processing (NLP). This groundbreaking advancement ripples through numerous facets of our existence, with education, AI literacy, and curriculum enhancement emerging as focal points of transformation. Within the pages of Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation, readers embark on a journey into the heart of this transformative phenomenon. Generative AI's influence extends deeply into education, touching the lives of educators, administrators, policymakers, and learners alike. Within the pages of this book, we explore the intricate art of prompt engineering, a skill that shapes the quality of AI-generated educational content. As generative AI becomes increasingly accessible, this comprehensive volume empowers its audience, by providing them with the knowledge needed to navigate and harness the potential of this powerful tool. |
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国内如何使用 ChatGPT？最容易懂的 ChatGPT 介绍与教学指南
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