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data analysis with chat gpt: From Zero to Data Hero with ChatGPT Andrew Wu, 2023-12-24 This is a comprehensive guide for prospective data scientists. It combines practical skills and advanced techniques with ChatGPT's groundbreaking capabilities. This easy-to-follow book shortens the learning curve for data analysis and machine learning beginners. It includes five chapters: 1. Kickstart Your Data Science Journey with ChatGPT's Power Tools: Introduces ChatGPT and the Noteable Plugin for quick data analysis. 2. The Great Data Hunt: Data collection and manipulation, including APIs, web scraping, data formats. 3. Making Data Meaningful: The basics of data analysis, simplified statistics and practical exercises. 4. Seeing the Unseen: Data Visualization: Techniques for revealing patterns in data using visual tools. 5. Venturing into the Machine's Mind: Machine Learning: Demystifies machine learning from regression analysis to recommendation engines, utilizing ChatGPT. Perfect for students, professionals and enthusiasts alike, this book offers a groundbreaking approach that makes data science accessible and manageable with the help of ChatGPT. |
data analysis with chat gpt: Applied Machine Learning and Data Analytics M. A. Jabbar, |
data analysis with chat gpt: Real-Time Data Decisions With AI and ChatGPT Techniques Sharma, Priyanka, Jyotiyana, Monika, Kumar, A.V. Senthil, 2024-09-19 Modern businesses face the challenge of how to most effectively harness the power of Artificial Intelligence (AI) to enhance customer engagement and streamline operations. The proliferation of AI tools like ChatGPT offers immense potential. Yet, businesses often need help to navigate the complexities of implementation and maximize the benefits. This gap between AI's promise and its practical application highlights the need for a comprehensive resource that offers practical insights and innovative strategies. Real-Time Data Decisions With AI and ChatGPT Techniques is a groundbreaking book that addresses this critical challenge. By providing a detailed analysis of ChatGPT and other AI tools, this book equips businesses with the knowledge and strategies needed to leverage AI effectively. From algorithmic enhancements to real-world applications, each chapter offers valuable insights and actionable recommendations, making this book an indispensable guide for businesses seeking to capitalize on AI's transformative potential. |
data analysis with chat gpt: Data Analytics in System Engineering Radek Silhavy, |
data analysis with chat gpt: Advances in Intelligent Data Analysis XXII Ioanna Miliou, |
data analysis with chat gpt: Ethics of Data and Analytics Kirsten Martin, 2022-05-12 The ethics of data and analytics, in many ways, is no different than any endeavor to find the right answer. When a business chooses a supplier, funds a new product, or hires an employee, managers are making decisions with moral implications. The decisions in business, like all decisions, have a moral component in that people can benefit or be harmed, rules are followed or broken, people are treated fairly or not, and rights are enabled or diminished. However, data analytics introduces wrinkles or moral hurdles in how to think about ethics. Questions of accountability, privacy, surveillance, bias, and power stretch standard tools to examine whether a decision is good, ethical, or just. Dealing with these questions requires different frameworks to understand what is wrong and what could be better. Ethics of Data and Analytics: Concepts and Cases does not search for a new, different answer or to ban all technology in favor of human decision-making. The text takes a more skeptical, ironic approach to current answers and concepts while identifying and having solidarity with others. Applying this to the endeavor to understand the ethics of data and analytics, the text emphasizes finding multiple ethical approaches as ways to engage with current problems to find better solutions rather than prioritizing one set of concepts or theories. The book works through cases to understand those marginalized by data analytics programs as well as those empowered by them. Three themes run throughout the book. First, data analytics programs are value-laden in that technologies create moral consequences, reinforce or undercut ethical principles, and enable or diminish rights and dignity. This places an additional focus on the role of developers in their incorporation of values in the design of data analytics programs. Second, design is critical. In the majority of the cases examined, the purpose is to improve the design and development of data analytics programs. Third, data analytics, artificial intelligence, and machine learning are about power. The discussion of power—who has it, who gets to keep it, and who is marginalized—weaves throughout the chapters, theories, and cases. In discussing ethical frameworks, the text focuses on critical theories that question power structures and default assumptions and seek to emancipate the marginalized. |
data analysis with chat gpt: Chat GPT Unleashed Bob Warner, 2024-07-02 In a world where technology evolves faster than ever, one innovation stands at the forefront of revolutionizing our lives—Chat GPT. Imagine a tool that not only boosts your financial success but also grants you the freedom to work from anywhere and transforms your personal growth. This isn’t science fiction; it’s happening now. “Chat GPT Unleashed” is your ticket to harnessing the power of artificial intelligence for unparalleled prosperity, autonomy, and self-improvement. Are you ready to break free from the conventional and step into a future where AI is your greatest ally? Have you ever wondered how some people effortlessly achieve financial success while living a life of complete freedom and constant personal growth? What if the key to unlocking these dreams lies in a single, powerful tool? The possibilities seem endless, but how exactly does Chat GPT make this a reality? What secrets are hidden within this AI revolution that can transform your life in ways you never imagined? Stay with us as we delve into the fascinating world of AI, where each revelation brings you closer to a life of limitless potential. Imagine waking up each day to a world where financial stress is a thing of the past, where you can work from a beach in Bali or a café in Paris, and where each day brings new opportunities for personal growth. This isn’t just a fantasy; it’s a reality that Chat GPT can help you achieve. By leveraging advanced AI, you’ll discover how to automate income streams, break geographical barriers, and unlock a deeper understanding of yourself. The journey starts with a single step into the world of Chat GPT, where the future is bright and full of promise. How can you use this AI to craft a life of your dreams? Let’s explore the pathways to financial prosperity, location independence, and personal metamorphosis. “Chat GPT Unleashed” promises to deliver a roadmap to unprecedented financial success, complete freedom to work from anywhere, and profound personal growth. This book is your guide to harnessing AI for real, tangible results that will transform every aspect of your life. We understand the frustration of feeling stuck in a job that doesn’t fulfill you, the struggle to balance work and personal life, and the constant search for ways to improve yourself. You’re not alone in feeling overwhelmed by the rapid pace of technological change. “Chat GPT Unleashed” is written with you in mind, to show you that these challenges can be overcome. We’ve walked the path of uncertainty and emerged victorious by embracing AI. This book is crafted to meet you where you are, addressing your deepest concerns and aspirations with empathy and actionable insights. Why does “Chat GPT Unleashed” work? Unlike other books and tools that promise quick fixes, this book dives deep into the practical application of AI in your daily life. You might be skeptical, wondering if you have the technical skills to leverage such advanced technology. Fear not—this book is designed for everyone, regardless of their tech background. You’ll find step-by-step guides, real-life examples, and supportive advice that demystify AI and make it accessible. This is not just another hype; it’s a comprehensive guide proven to deliver results. According to a report by McKinsey, AI has the potential to add $13 trillion to the global economy by 2030. As Elon Musk famously said, “AI will be the best or worst thing ever for humanity.” This book harnesses the best of AI, guiding you to use it for remarkable personal and financial growth. This book is backed by cutting-edge research and real-world success stories, cementing its authority as a must-read in the AI space. You will get Inside: - Unlock financial prosperity by automating income streams with AI-driven strategies. - Achieve location independence and work from anywhere in the world. - Experience personal metamorphosis through AI-enhanced self-discovery and growth. - Discover practical applications of Chat GPT that can revolutionize your business and personal life. - Learn from real-life success stories of individuals who transformed their lives with AI. - Gain step-by-step guidance on integrating AI into your daily routines without needing technical expertise. - Access exclusive tips and tricks to stay ahead in the fast-evolving AI landscape. - Develop a future-ready mindset to thrive in the AI-driven world. Embrace the AI revolution today with “Chat GPT Unleashed” and watch as your life transforms into a journey of boundless opportunities, financial freedom, and profound personal growth. Don’t wait—unlock the future now. Grab your copy of “Chat GPT Unleashed” and take the first step towards a life of financial prosperity, location independence, and personal metamorphosis. Your future self will thank you. |
data analysis with chat gpt: Managing Data Integrity for Finance Jane Sarah Lat, 2024-01-31 Level up your career by learning best practices for managing the data quality and integrity of your financial data Key Features Accelerate data integrity management using artificial intelligence-powered solutions Learn how business intelligence tools, ledger databases, and database locks solve data integrity issues Find out how to detect fraudulent transactions affecting financial report integrity Book DescriptionData integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations. The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases. After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.What you will learn Develop a customized financial data quality scorecard Utilize business intelligence tools to detect, manage, and resolve data integrity issues Find out how to use managed cloud-based ledger databases for financial data integrity Apply database locking techniques to prevent transaction integrity issues involving finance data Discover the methods to detect fraudulent transactions affecting financial report integrity Use artificial intelligence-powered solutions to resolve various data integrity issues and challenges Who this book is for This book is for financial analysts, technical leaders, and data professionals interested in learning practical strategies for managing data integrity and data quality using relevant frameworks and tools. A basic understanding of finance concepts, accounting, and data analysis is expected. Knowledge of finance management is not a prerequisite, but it’ll help you grasp the more advanced topics covered in this book. |
data analysis with chat gpt: Qualitative Data Analysis Ian Dey, 2003-09-02 Qualitative Data Analysis shows that learning how to analyse qualitative data by computer can be fun. Written in a stimulating style, with examples drawn mainly from every day life and contemporary humour, it should appeal to a wide audience. |
data analysis with chat gpt: Advanced Research Methods for Applied Psychology Paula Brough, 2024-08-27 Advanced Research Methods for Applied Psychology provides a comprehensive discussion of 21 key topics for the completion of an applied psychology (or similar) research thesis/project. The book provides a one-stop shop for the current issues and discussions of key research methods and common statistical analysis techniques, but avoids being a step-by-step instruction guide. The book is divided into four sections, representing the stages of thesis completion: getting started, data collection, data analysis, and reporting research. Each chapter presents a detailed scholarly discussion on a topic and represents the most up-to-date reference for that topic. The Chapters also provide key references for further detailed readings and guides. The chapters are authored by leading researchers from all around the world. This book discusses both emerging and traditional research methods commonly utilised within applied psychology research projects and directly assists early researchers in providing an informed discussion of their decisions relating to their choice of, for example, research sampling, the use of diary studies, appropriate survey time-lags, conducting systematic reviews, and the macro and micro process issues involved with conducting organisational interventions. This book is an important reference text for applied psychology research thesis/project students and researchers, including both undergraduate and postgraduate students. It will be of interest to applied psychology researchers in all fields (clinical, organisational, developmental, forensic, etc.) and to those in other disciplines. The book provides coverage of advanced research methods and statistical topics and is suitable for adoption for these courses in honours/post-graduate levels of study within applied psychology and related fields. |
data analysis with chat gpt: Python 3 Data Visualization Using Chatgpt / Gpt-4 Oswald Campesato, 2023-12-12 This book is designed to show readers the concepts of Python 3 programming and the art of data visualization. It also explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, leading into data visualization using prominent libraries such as Matplotlib. Chapter 6 includes Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. Further, the book covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. Chapter 7 covers information about the main features of ChatGPT and GPT-4, as well as some of their competitors. Chapter 8 contains examples of using ChatGPT in order to perform data visualization, such as charts and graphs that are based on datasets (e.g., the Titanic dataset). Companion files with code, datasets, and figures are available for downloading. From foundational Python concepts to the intricacies of data visualization, this book is ideal for Python practitioners, data scientists, and anyone in the field of data analytics looking to enhance their storytelling with data through visuals. It's also perfect for educators seeking material for teaching advanced data visualization techniques. FEATURES Explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories Contains detailed tutorials that guide you through the creation of complex visuals Tackles actual data scenarios and builds your expertise as you apply learned concepts to real datasets Features data manipulation and cleaning with Pandas to prepare flawless datasets ready for visualization Includes companion files with source code, data sets, and figures |
data analysis with chat gpt: Analytics of Life Mert Damlapinar, 2019-11-11 Analytics of Life provides the reader with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses. Questions you can find answers* * What is artificial intelligence (AI)? * What is the difference between AI, machine learning and data analytics? * Which jobs AI will replace, which jobs are safe from data analytics revolution? * Why data analytics is the best career move? * How can I apply data analytics in my job or small business? Who is this book for? * Managers and business professionals * Marketers, product managers, and business strategists * Entrepreneurs, founders and startups team members * Consultants, advisors and educators * Almost anybody who has an interest in the future According to an article by Cade Metz in The New York Times, Researchers say computer systems are learning from lots and lots of digitized books and news articles that could bake old attitudes into new technology. Oxford University professor Nick Bostrom argues that if machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control. MIT professor Max Tegmark describes and illuminates the recent, ground-breaking advances in Artificial Intelligence and how it might overtake human intelligence. As Oxford University economist Daniel Susskind points out, technological progress could bring about unprecedented prosperity, solving one of humanity's oldest problems: how to make sure that everyone has enough to live on. Distinguished AI researcher and professor of computer science at UC Berkeley, Russell Stuart suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Industry experts claim that AI will have a negative impact on blue-collar jobs, but Mert predicts that Americans and Europeans will experience a strong impact on white-collar jobs as well. And Mert also provides research results and a clear description of which jobs will be affected and how soon, which jobs could be enhanced with AI. Analytics of Life also provides solutions and insight into some of the most profound changes to come in human history. |
data analysis with chat gpt: 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. |
data analysis with chat gpt: Design Computing and Cognition’24 John S. Gero, |
data analysis with chat gpt: 300+ WAYS TO MAKE MONEY WITH CHATGPT D. L. Bailey, 2024-08-01 Discover the ultimate guide to leveraging Chat GPT for financial success in 300+ Ways to Make Money With Chat GPT. This comprehensive ebook provides over 300 creative and practical methods to harness the power of Chat GPT to generate income. Whether you're a seasoned entrepreneur or just starting, you'll find actionable strategies, tips, and real-world examples to turn your Chat GPT interactions into lucrative ventures. Unlock the potential of AI and start your journey towards financial independence today! |
data analysis with chat gpt: The Data Science Handbook Field Cady, 2017-02-28 A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon. |
data analysis with chat gpt: Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement Bansal, Rohit, Ngah, Abdul Hafaz, Chakir, Aziza, Pruthi, Nishita, 2024-01-24 Academic scholars find themselves confronted with a formidable challenge: staying abreast of the ever-evolving landscape of Artificial Intelligence(AI). The intricate interplay between AI and its profound impact on various facets of society, including customer engagement, remains an enigma for many. This knowledge gap not only hampers their ability to contribute meaningfully to their fields but also leaves them trailing behind the dynamic developments taking place in industries worldwide. As AI continues to reshape the business environment, it becomes imperative for academia to bridge this chasm between theory and practice. Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement is an effective solution to the pressing problem at hand. With meticulous clarity, it unravels the complexities of ChatGPT, an innovative AI technology, and its revolutionary potential in the realm of customer engagement. It offers a lifeline to academic scholars seeking to navigate the uncharted territory of AI, providing them with an in-depth understanding of how ChatGPT can reshape customer interactions. |
data analysis with chat gpt: The Art of Statistics David Spiegelhalter, 2019-09-03 In this important and comprehensive guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs. |
data analysis with chat gpt: AI-generated Content Feng Zhao, Duoqian Miao, 2023-12-03 This book constitutes the revised selected papers of the First International Conference, AIGC 2023, held in Shanghai, China, during August 25–26, 2023 The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The volume focuses on the remarkable strides that have been made in the realm of artificial intelligence and its transformative impact on content creation. As delving into the content of the proceedings, the readers will encounter cutting-edge research findings, innovative applications, and thought-provoking insights that underscore the transformative potential of AI-generated content. |
data analysis with chat gpt: How To Start A Business With ChatGPT Jon Adams, In the swiftly evolving landscape of entrepreneurship, How To Start A Business With ChatGPTemerges as a crucial handbook for the modern business founder. This book promises to elucidate the dynamics of harnessing the power of ChatGPT, an advanced AI language model, as a formidable ally in the realm of business creation and growth. From ideation to operational efficiency, this navigator guides you through the thrilling process of business development with ChatGPT as a trusty sidekick. [CONTENTS] Understanding Chat GPT and Its Capabilities - Pg 6 Delve into the technological marvel of ChatGPT and explore its vast capabilities as a game-changer in the business world. Ideation and Business Planning with Chat GPT - Pg 24 Learn how to use ChatGPT for generating innovative business ideas and crafting comprehensive business plans. Market Research and Analysis through Chat GPT - Pg 43 Master the art of conducting detailed market research and analysis with the help of ChatGPT to identify your business niche. Branding and Marketing Strategies with Chat GPT - Pg 62 Discover how to create compelling branding and marketing strategies with ChatGPT's insights to captivate your target audience. Sales Optimization and Customer Service Enhancement - Pg 84 Utilize ChatGPT to refine your sales processes and elevate customer service experiences, ensuring customer satisfaction and loyalty. Operational Efficiency and Automation - Pg 98 Streamline your business operations and automate routine tasks with ChatGPT for improved efficiency and productivity. Data Analysis and Decision Making with Chat GPT - Pg 115 Learn to leverage ChatGPT for deep data analysis, enabling informed decision-making and strategic planning. Scaling Your Business and Future Planning - Pg 142 Equip yourself with the knowledge to scale your business effectively and plan for the future with foresight and agility. [ABOUT THE BOOK] How To Start A Business With ChatGPT is not just a manual; it's a journey into the integration of artificial intelligence in business. The book emphasizes the art of conversation with AI to ignite creativity, solve problems, and uncover insights beyond traditional methods. Whether you're a seasoned entrepreneur or taking your first step into the business world, this book is designed to help you leverage a groundbreaking tool for a competitive edge and success. [WHO THIS BOOK IS FOR] Entrepreneurs looking to start a business with cutting-edge technology. Business owners seeking to innovate and improve their operations with AI. Marketing professionals wanting to leverage AI for strategy and branding. Anyone interested in understanding how AI can transform business practices. Embark on this enlightening journey to discover how ChatGPT can amplify your vision, streamline your processes, and catapult your business into a prosperous future. |
data analysis with chat gpt: Data Science for Business Herbert Jones, 2018-09-26 Do you want to learn about data science but aren't in the mood to read a boring textbook? Data science has a huge impact on how companies conduct business, and those who don't learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers. And it is all done by collecting and sorting through a large amount of information, so you have the right sources behind you when you make a major decision. In this guidebook, you will discover more about data science and how to get started in this field. This book will discuss the following topics: What is data science? How Big Data works and why it is so important How to do an explorative data analysis Working with data mining How to mine text to get the data Some amazing machine learning algorithms to help with data science How to do data modeling Data visualization How to use data science to help your business grow Tips to help you get started with data science And much, much more! So if you are ready to get started with data science, click add to cart! |
data analysis with chat gpt: 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. |
data analysis with chat gpt: 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 |
data analysis with chat gpt: Applications, Challenges, and the Future of ChatGPT Sharma, Priyanka, Jyotiyana, Monika, Kumar, A.V. Senthil, 2024-05-28 The rapid progress of artificial intelligence (AI) technologies has resulted in a complicated landscape for researchers and practitioners. Understanding and navigating the complexities of AI applications, particularly in the context of ChatGPT and its interactions with other AI tools, can be challenging. Researchers and academics need guidance to keep up with these technologies' evolving trends and implications, which leads to gaps in knowledge and implementation strategies. Additionally, the ethical and societal impacts of integrating AI into various domains remain a significant concern, requiring a comprehensive approach to address. Applications, Challenges, and the Future of ChatGPT provide a comprehensive solution to these issues by offering a detailed analysis of the current research trends in AI, focusing on ChatGPT and its interactions with other AI tools. The book delves into how we can effectively utilize ChatGPT and other AI tools to address complex problems by exploring AI applications' collaborative potentials and emerging paradigms. By identifying research gaps and suggesting future directions, this book equips researchers and practitioners with the knowledge and tools necessary to navigate the evolving landscape of AI. |
data analysis with chat gpt: Knowledge Management in Organisations Lorna Uden, I-Hsien Ting, 2023-05-29 This book constitutes the refereed proceedings of the 17th International Conference on Knowledge Management in Organisations, KMO 2023, held in Bangkok, Thailand, during July 24–27, 2023. The 32 full papers included in this book were carefully reviewed and selected from 73 submissions. They were organized in topical sections as follows: Knowledge Transfer & Sharing, Knowledge in Business & Organisation, Digital Transformation and Innovation, Data Analysis and Science, KM and Education, Knowledge Management Process and Model, Information & Knowledge Systems, IT &New Trends in KM, Healthcare. |
data analysis with chat gpt: Computer Supported Qualitative Research Jaime Ribeiro, |
data analysis with chat gpt: 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... |
data analysis with chat gpt: Excel 2016 Bible John Walkenbach, 2015-10-09 The complete guide to Excel 2016, from Mr. Spreadsheet himself Whether you are just starting out or an Excel novice, the Excel 2016 Bible is your comprehensive, go-to guide for all your Excel 2016 needs. Whether you use Excel at work or at home, you will be guided through the powerful new features and capabilities by expert author and Excel Guru John Walkenbach to take full advantage of what the updated version offers. Learn to incorporate templates, implement formulas, create pivot tables, analyze data, and much more. Navigate this powerful tool for business, home management, technical work, and much more with the only resource you need, Excel 2016 Bible. Create functional spreadsheets that work Master formulas, formatting, pivot tables, and more Get acquainted with Excel 2016's new features and tools Customize downloadable templates and worksheets Whether you need a walkthrough tutorial or an easy-to-navigate desk reference, the Excel 2016 Bible has you covered with complete coverage and clear expert guidance. |
data analysis with chat gpt: Building and Automating Penetration Testing Labs in the Cloud Joshua Arvin Lat, 2023-10-13 Take your penetration testing career to the next level by discovering how to set up and exploit cost-effective hacking lab environments on AWS, Azure, and GCP Key Features Explore strategies for managing the complexity, cost, and security of running labs in the cloud Unlock the power of infrastructure as code and generative AI when building complex lab environments Learn how to build pentesting labs that mimic modern environments on AWS, Azure, and GCP Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe significant increase in the number of cloud-related threats and issues has led to a surge in the demand for cloud security professionals. This book will help you set up vulnerable-by-design environments in the cloud to minimize the risks involved while learning all about cloud penetration testing and ethical hacking. This step-by-step guide begins by helping you design and build penetration testing labs that mimic modern cloud environments running on AWS, Azure, and Google Cloud Platform (GCP). Next, you’ll find out how to use infrastructure as code (IaC) solutions to manage a variety of lab environments in the cloud. As you advance, you’ll discover how generative AI tools, such as ChatGPT, can be leveraged to accelerate the preparation of IaC templates and configurations. You’ll also learn how to validate vulnerabilities by exploiting misconfigurations and vulnerabilities using various penetration testing tools and techniques. Finally, you’ll explore several practical strategies for managing the complexity, cost, and risks involved when dealing with penetration testing lab environments in the cloud. By the end of this penetration testing book, you’ll be able to design and build cost-effective vulnerable cloud lab environments where you can experiment and practice different types of attacks and penetration testing techniques.What you will learn Build vulnerable-by-design labs that mimic modern cloud environments Find out how to manage the risks associated with cloud lab environments Use infrastructure as code to automate lab infrastructure deployments Validate vulnerabilities present in penetration testing labs Find out how to manage the costs of running labs on AWS, Azure, and GCP Set up IAM privilege escalation labs for advanced penetration testing Use generative AI tools to generate infrastructure as code templates Import the Kali Linux Generic Cloud Image to the cloud with ease Who this book is forThis book is for security engineers, cloud engineers, and aspiring security professionals who want to learn more about penetration testing and cloud security. Other tech professionals working on advancing their career in cloud security who want to learn how to manage the complexity, costs, and risks associated with building and managing hacking lab environments in the cloud will find this book useful. |
data analysis with chat gpt: Artificial Intelligence Applications and Innovations Ilias Maglogiannis, |
data analysis with chat gpt: 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 |
data analysis with chat gpt: 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. |
data analysis with chat gpt: Gpt-4 for Developers OSWALD. CAMPESATO, 2023-12-22 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 |
data analysis with chat gpt: The AI Revolution in Project Management Vijay Kanabar, 2023-12-08 In a world where technology is rapidly evolving, the fusion of project management and artificial intelligence stands at the forefront of innovation. The AI Revolution in Project Management delves deep into the transformative power of generative AI tools that promise to reshape industries, and revolutionize how we manage projects. Whether you're looking to build dynamic teams using AI, choose a project development approach, or monitor project performance, this book has got you covered. Each chapter provides insightful narratives and includes a supplemental Technical Guide that provides tips on using the AI technology. With case studies and prompts, the dialogues showcase AI in action, from stakeholder engagement to risk management. Dive in with experts who’ve spent countless hours using these AI tools in project scenarios to offer a transparent view into generative AI-driven project management. In this book you'll learn: How to create prompts that generate meaningful and actionable insights tailored for your projects When to use AI to enhance decision-making, super-charge productivity, and elevate overall project efficiency Which generative AI models and plug-ins to use for specific project scenarios, ensuring seamless integration and maximum efficiency AI is not just a buzzword; it’s a tool reshaping how we manage projects and engage with stakeholders. - From the Foreward by Ricardo Viana Vargas, Ph.D. Ricardo is an experienced leader in global operations, project management, business transformation, and crisis management. As founder and managing director of Macrosolutions, a consulting firm with international operations in energy, infrastructure, IT, oil, and finance, he managed more than $20 billion in international projects in the past 25 years. Update As AI products continue to evolve, information published in this book may change. Please note that as of February 2024, there is a name change for Bing Chat and Bard Chat. Microsoft Bing Chat is now Copilot: https://copilot.microsoft.com/. Google Bard is now Gemini: https://gemini.google.com/. |
data analysis with chat gpt: AI Algorithms and ChatGPT for Student Engagement in Online Learning Bansal, Rohit, Chakir, Aziza, Hafaz Ngah, Abdul, Rabby, Fazla, Jain, Ajay, 2024-05-28 The shift to virtual education has presented numerous challenges, including maintaining student focus and participation. Traditional methods of instruction often need to catch up in capturing the attention of digital learners, leading to disengagement and reduced learning outcomes. However, there is a solution at hand. AI Algorithms and ChatGPT for Student Engagement in Online Learning offers a comprehensive approach to leveraging artificial intelligence (AI) algorithms and ChatGPT to enhance student engagement in digital classrooms. This book addresses the pressing need for innovative strategies to keep students actively involved in their online learning journey. By harnessing the power of AI algorithms, educators can personalize learning paths to suit individual student needs, ensuring that content is relevant and engaging. Additionally, ChatGPT serves as a virtual assistant, providing students with instant feedback and support, fostering a sense of connection to the learning process. |
data analysis with chat gpt: Management Engineering in Emerging Economies Guillermo Cortés-Robles, |
data analysis with chat gpt: Proceedings of the Pacific-Rim Objective Measurement Symposium Quan Zhang, 2024 |
data analysis with chat gpt: Generative AI and Implications for Ethics, Security, and Data Management Gomathi Sankar, Jeganathan, David, Arokiaraj, 2024-08-21 As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians. |
data analysis with chat gpt: Digital Tools for Qualitative Research Trena Paulus, Jessica N. Lester, Paul Dempster, 2013-12-30 Digital Tools for Qualitative Research shows how the research process in its entirety can be supported by technology tools in ways that can save time and add robustness and depth to qualitative work. It addresses the use of a variety of tools (many of which may already be familiar to you) to support every phase of the research process, providing practical case studies taken from real world research. The text shows you how to select and use technology tools to: engage in reflexivity collaborate with other researchers and stakeholders manage your project do your literature review generate and manage your data transcribe and analyse textual, audio and visual data and represent and share your findings. The book also considers important ethical issues surrounding the use of various technologies in each chapter. On the companion website, you′ll find lots of additional resources including video tutorials and activities. Whether you′re a novice or expert social researcher, this book will inspire you to think creatively about how to approach your research project and get the most out of the huge range of tools available to you. |
data analysis with chat gpt: Advances in Visual Informatics Halimah Badioze Zaman, Peter Robinson, Alan F. Smeaton, Renato Lima De Oliveira, Bo Nørregaard Jørgensen, Timothy K. Shih, Rabiah Abdul Kadir, Ummul Hanan Mohamad, Mohammad Nazir Ahmad, 2023-10-19 This book constitutes the refereed proceedings of the 8th International Conference on Advances in Visual Informatics, IVIC 2023, held in Selangor, Malaysia in November 2023. The 51 full papers presented were carefully reviewed and selected from 101 submissions. The conference focused on 6 tracks: Modeling and Simulation, Mixed Reality and HCI, Systems Integration and IoT, Cybersecurity, Energy Informatics and Intelligent Data Analytics. |
Data analysis with ChatGPT - OpenAI Help Center
One of ChatGPT’s core capabilities is the ability to perform complex analysis based on natural language prompts. In order to make this work, GPT-4 (the frontier model which powers …
Improvements to data analysis in ChatGPT - OpenAI
May 16, 2024 · Data analysis improvements will be available in our new flagship model, GPT‑4o, for ChatGPT Plus, Team, and Enterprise users over the coming weeks. These improvements …
How to Use ChatGPT’s Advanced Data Analysis Feature
There are many more potential uses of the Advanced Data Analysis feature, including data visualization, regressions and other quantitative analysis, and work with other file types. Many …
17 ChatGPT Prompts For Data Analysis To Save Time In 2025 - team-gpt…
Mar 22, 2025 · In this article, I’ll walk you through 17 ChatGPT prompts for data analysis that you can use to save time from the ones that our team has been using. ️ Throughout this article, …
6 Must-Try ChatGPT Prompts For Data Analysts
Jan 24, 2024 · Learn how to streamline your data analysis workflows and work smarter with these six prompts for ChatGPT.
Learn how to use ChatGPT-4o for Data Analysis – Full Guide
Jun 8, 2024 · The release of GPT-4o by OpenAI introduced a new interface for data analysis within ChatGPT, allowing users harness the power of artificial intelligence (AI) to analyze data, …
ChatGPT for Data Analysis: A Beginner’s Guide - Medium
Sep 28, 2024 · In this guide, I am going to show you how to use ChatGPT to perform several data analysis tasks in minutes without coding experience or expensive statistical software.
ChatGPT for Data Analysts: Use Cases & Examples
In this article, we’ve explored how ChatGPT can be used by data analysts, the benefits of using ChatGPT for data analysis, the limitations of ChatGPT plus some challenges in data analytics, …
Using ChatGPT for Data Analysis: Use Cases and Limitations
Dive into the capabilities and limitations of using ChatGPT for data analysis. Discover practical use cases, understand the challenges in handling complex data, and learn about the potential …
My First Exploratory Data Analysis with ChatGPT
May 10, 2023 · In this article we’ll run through an example of exploratory data analysis (EDA) run by ChatGPT. We’ll cover the various stages of an EDA, see some impressive outputs …
Data analysis with ChatGPT - OpenAI Help Center
One of ChatGPT’s core capabilities is the ability to perform complex analysis based on natural language prompts. In order to make this work, GPT-4 (the frontier model which powers …
Improvements to data analysis in ChatGPT - OpenAI
May 16, 2024 · Data analysis improvements will be available in our new flagship model, GPT‑4o, for ChatGPT Plus, Team, and Enterprise users over the coming weeks. These improvements …
How to Use ChatGPT’s Advanced Data Analysis Feature
There are many more potential uses of the Advanced Data Analysis feature, including data visualization, regressions and other quantitative analysis, and work with other file types. Many …
17 ChatGPT Prompts For Data Analysis To Save Time In 2025 - team-gpt…
Mar 22, 2025 · In this article, I’ll walk you through 17 ChatGPT prompts for data analysis that you can use to save time from the ones that our team has been using. ️ Throughout this article, …
6 Must-Try ChatGPT Prompts For Data Analysts
Jan 24, 2024 · Learn how to streamline your data analysis workflows and work smarter with these six prompts for ChatGPT.
Learn how to use ChatGPT-4o for Data Analysis – Full Guide
Jun 8, 2024 · The release of GPT-4o by OpenAI introduced a new interface for data analysis within ChatGPT, allowing users harness the power of artificial intelligence (AI) to analyze data, …
ChatGPT for Data Analysis: A Beginner’s Guide - Medium
Sep 28, 2024 · In this guide, I am going to show you how to use ChatGPT to perform several data analysis tasks in minutes without coding experience or expensive statistical software.
ChatGPT for Data Analysts: Use Cases & Examples
In this article, we’ve explored how ChatGPT can be used by data analysts, the benefits of using ChatGPT for data analysis, the limitations of ChatGPT plus some challenges in data analytics, …
Using ChatGPT for Data Analysis: Use Cases and Limitations
Dive into the capabilities and limitations of using ChatGPT for data analysis. Discover practical use cases, understand the challenges in handling complex data, and learn about the potential …
My First Exploratory Data Analysis with ChatGPT
May 10, 2023 · In this article we’ll run through an example of exploratory data analysis (EDA) run by ChatGPT. We’ll cover the various stages of an EDA, see some impressive outputs …