Data Analytics With Generative Ai

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Starting Data Analytics With Generative Ai And Python

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Author : Artur Guja
language : en
Publisher: Simon and Schuster
Release Date : 2024-12-24

Starting Data Analytics With Generative Ai And Python written by Artur Guja and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Computers categories.

Accelerate your mastery of data analytics with the power of ChatGPT. Whether you’re brand new to data analysis or an experienced pro looking to do more work, faster, Starting Data Analytics with Generative AI and Python is here to help simplify and speed up your data analysis! Written by a pair of world-class data scientists and an experienced risk manager, the book concentrates on the practical analytics tasks you'll do every day. Inside Starting Data Analytics with Generative AI and Python you’ll learn how to: • Write great prompts for ChatGPT • Perform end-to-end descriptive analytics • Set up an AI-friendly data analytics environment • Evaluate the quality of your data • Develop a strategic analysis plan • Generate code to analyze non-text data • Explore text data directly with ChatGPT • Prepare reliable reports In Starting Data Analytics with Generative AI and Python you’ll learn how to improve your coding efficiency, generate new analytical approaches, and fine-tune data pipelines—all assisted by AI tools like ChatGPT. For each step in the data process, you’ll discover how ChatGPT can implement data techniques from simple plain-English prompts. Plus, you’ll develop a vital intuition about the risks and errors that still come with these tools. About the technology If you have basic knowledge of data analysis, this book will show you how to use ChatGPT to accelerate your essential data analytics work. This speed-up can be amazing: the authors report needing one third or even one quarter the time they needed before. About the book You’ll find reliable and practical advice that works on the job. Improve problem exploration, generate new analytical approaches, and fine-tune your data pipelines—all while developing an intuition about the risks and errors that still come with AI tools. In the end, you’ll be able to do significantly more work, do it faster, and get better results, without breaking a sweat. Assuming only that you know the foundations, this friendly book guides you through the entire analysis process—from gathering and preparing raw data, data cleaning, generating code-based solutions, selecting statistical tools, and finally creating effective data presentations. With clearly-explained prompts to extract, interpret, and present data, it will raise your skills to a whole different level. What's inside • Write great prompts for ChatGPT • Perform end-to-end descriptive analytics • Set up an AI-friendly data analytics environment • Evaluate the quality of your data • Develop a strategic analysis plan • Generate code to analyze non-text data • Explore text data directly with ChatGPT • Prepare reliable reports About the author Authors Artur Guja, Dr. Marlena Siwiak, and Dr. Marian Siwiak are experienced data scientists with backgrounds in business, scientific research, and finance. The technical editor on this book was Mike Jensen. Table of Contents 1 Introduction to the use of generative AI in data analytics 2 Using generative AI to ensure sufficient data quality 3 Descriptive analysis and statistical inference supported by generative AI 4 Using generative AI for result interpretations 5 Basic text mining using generative AI 6 Advanced text mining with generative AI 7 Scaling and performance optimization 8 Risk, mitigation, and tradeoffs Appendix A Specifying multiple DataFrames to ChatGPT v4 Appendix B On debugging ChatGPT’s code Appendix C On laziness and human errors

Big Data Analytics And Artificial Intelligence Against Covid 19 Innovation Vision And Approach

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Author : Aboul-Ella Hassanien
language : en
Publisher: Springer
Release Date : 2020-10-13

Big Data Analytics And Artificial Intelligence Against Covid 19 Innovation Vision And Approach written by Aboul-Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-13 with Computers categories.

This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Advanced Data Analytics With Aws Explore Data Analysis Concepts In The Cloud To Gain Meaningful Insights And Build Robust Data Engineering Workflows Across Diverse Data Sources

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Author : Joseph Conley
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-04-17

Advanced Data Analytics With Aws Explore Data Analysis Concepts In The Cloud To Gain Meaningful Insights And Build Robust Data Engineering Workflows Across Diverse Data Sources written by Joseph Conley and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-17 with Computers categories.

Master the Fundamentals of Data Analytics at Scale Key Features ● Comprehensive guide to constructing data engineering workflows spanning diverse data sources ● Expert techniques for transforming and visualizing data to extract actionable insights ● Advanced methodologies for analyzing data and employing machine learning to uncover intricate patterns Book Description Embark on a transformative journey into the realm of data analytics with AWS with this practical and incisive handbook. Begin your exploration with an insightful introduction to the fundamentals of data analytics, setting the stage for your AWS adventure. The book then covers collecting data efficiently and effectively on AWS, laying the groundwork for insightful analysis. It will dive deep into processing data, uncovering invaluable techniques to harness the full potential of your datasets. The book will equip you with advanced data analysis skills, unlocking the ability to discern complex patterns and insights. It covers additional use cases for data analysis on AWS, from predictive modeling to sentiment analysis, expanding your analytical horizons. The final section of the book will utilize the power of data virtualization and interaction, revolutionizing the way you engage with and derive value from your data. Gain valuable insights into emerging trends and technologies shaping the future of data analytics, and conclude your journey with actionable next steps, empowering you to continue your data analytics odyssey with confidence. What you will learn ● Construct streamlined data engineering workflows capable of ingesting data from diverse sources and formats. ● Employ data transformation tools to efficiently cleanse and reshape data, priming it for analysis. ● Perform ad-hoc queries for preliminary data exploration, uncovering initial insights. ● Utilize prepared datasets to craft compelling, interactive data visualizations that communicate actionable insights. ● Develop advanced machine learning and Generative AI workflows to delve into intricate aspects of complex datasets, uncovering deeper insights. Table of Contents 1. Introduction to Data Analytics and AWS 2. Getting Started with AWS 3. Collecting Data with AWS 4. Processing Data on AWS 5. Descriptive Analytics on AWS 6. Advanced Data Analysis on AWS 7. Additional Use Cases for Data Analysis 8. Data Visualization and Interaction on AWS 9. The Future of Data Analytics 10. Conclusion and Next Steps Index

Data Analytics In Finance

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Author : Huijian Dong
language : en
Publisher: CRC Press
Release Date : 2025-04-30

Data Analytics In Finance written by Huijian Dong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.

Data Analytics in Finance covers the methods and application of data analytics in all major areas of finance, including buy-side investments, sell-side investment banking, corporate finance, consumer finance, financial services, real estate, insurance, and commercial banking. It explains statistical inference of big data, financial modeling, machine learning, database querying, data engineering, data visualization, and risk analysis. Emphasizing financial data analytics practices with a solution- oriented purpose, it is a “one-stop-shop” of all the major data analytics aspects for each major finance area. The book paints a comprehensive picture of the data analytics process including: Statistical inference of big data Financial modeling Machine learning and AI Database querying Data engineering Data visualization Risk analysis Each chapter is crafted to provide complete guidance for many subject areas including investments, fraud detection, and consumption finance. Avoiding data analytics methods widely available elsewhere, the book focuses on providing data analytics methods specifically applied to key areas of finance. Written as a roadmap for researchers, practitioners, and students to master data analytics instruments in finance, the book also provides a collection of indispensable resources for the readers’ reference. Offering the knowledge and tools necessary to thrive in a data-driven financial landscape, this book enables readers to deepen their understanding of investments, develop new approaches to risk management, and apply data analytics to finance.

Artificial Intelligence And Financial Transformation Unlocking The Power Of Fintech Predictive Analytics And Public Governance In The Next Era Of Economic Intelligence

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Author : Abhishek Dodda
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-06

Artificial Intelligence And Financial Transformation Unlocking The Power Of Fintech Predictive Analytics And Public Governance In The Next Era Of Economic Intelligence written by Abhishek Dodda and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.

The global financial ecosystem is undergoing a profound transformation, one driven by the accelerating convergence of artificial intelligence, fintech innovation, and data-powered public governance. Artificial Intelligence and Financial Transformation: Unlocking the Power of Fintech, Predictive Analytics, and Public Governance in the Next Era of Economic Intelligence explores this dynamic intersection, where technology not only enhances operational efficiency but redefines how economies are managed, regulated, and empowered. In a world increasingly defined by digital transactions and decentralized finance, AI and predictive analytics are becoming indispensable tools for institutions seeking to navigate volatility, mitigate risk, and anticipate market behavior. Meanwhile, governments and regulatory bodies are leveraging intelligent technologies to design responsive policies, ensure transparency, and foster trust across the financial value chain. The rise of intelligent economic systems is not just a possibility—it is fast becoming a necessity. This book is designed for finance professionals, AI researchers, policy strategists, academics, and students eager to understand how digital intelligence is reshaping economic landscapes. It offers a multi-dimensional perspective on the evolution of financial services, featuring in-depth analyses of AI-enabled fintech applications, risk modeling frameworks, digital regulatory architectures, and governance mechanisms built on data-driven insights. The chapters herein blend theory and practice, spotlighting case studies from global financial hubs, innovations in central bank digital currencies (CBDCs), fraud detection algorithms, and real-time regulatory tech (RegTech). The ethical, legal, and social implications of these shifts are also critically examined, ensuring a balanced discourse on the promises and perils of algorithmic finance. As we step into a future where economic resilience and innovation go hand in hand, this book invites readers to reimagine finance—not as a static system, but as an intelligent, adaptive force for societal advancement.

Data Driven Hr

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Author : Bernard Marr
language : en
Publisher: Kogan Page Publishers
Release Date : 2018-04-03

Data Driven Hr written by Bernard Marr and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-03 with Business & Economics categories.

FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.

Automated Data Analytics

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Author : Soraya Sedkaoui
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-11

Automated Data Analytics written by Soraya Sedkaoui and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-11 with Computers categories.

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.

Mastering Marketing Data Science

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Author : Iain Brown
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-29

Mastering Marketing Data Science written by Iain Brown and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Computers categories.

Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.

Achieving Digital Transformation Through Analytics And Ai

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Author : Jay Liebowitz
language : en
Publisher: World Scientific
Release Date :

Achieving Digital Transformation Through Analytics And Ai written by Jay Liebowitz and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Smart Education And Sustainable Learning Environments In Smart Cities

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Author : Sorayyaei Azar, Ali
language : en
Publisher: IGI Global
Release Date : 2025-02-13

Smart Education And Sustainable Learning Environments In Smart Cities written by Sorayyaei Azar, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Education categories.

As urbanization accelerates and technological advancements continue to reshape our cities, the integration of smart technologies into urban development has become prominent. At the same time, the education sector faces challenges in adapting to the demands of a rapidly changing world. There is a growing need to prepare students for the digital age while fostering environmental consciousness and sustainability. These smart learning environments are designed to be flexible, accessible, and sustainable, aligning with the broader goals of smart cities to optimize resources, reduce environmental impact, and promote social equity. As cities evolve, the creation of sustainable learning environments becomes essential for academic achievement and the preparation of future generations. Smart Education and Sustainable Learning Environments in Smart Cities explores the intersection of education and smart technology. It investigates how smart technologies can be used to create inclusive, innovative, and environmentally sustainable educational ecosystems within the context of modern urban development. This book covers topics such as learning styles, data science, and cloud technology, and is a useful resource for computer engineers, educators, academicians, urban developers, policymakers, government officials, and researchers.