Language Practical Data Analysis (41 results)

paperback. Condition: New. Paperback. Pub Date: 2024-01 Pages: 272 Publisher: Wuhan University Press This book starts with the basics of Python language. and introduces how to use Python software and related function packages to import. export and process common types of spatial data such as vector data. raster data. network dat…

paperback. Condition: New. Paperback. Pub Date: 2016-05-01 Pages: 392 Language: Chinese Publisher: Electronic Industry Press classical statistical theory and machine learning data mining provides the necessary analysis techniques. This book introduces the statistical analysis and machine learning fields * important and a variety…

paperback. Condition: New. Paperback. Pub Date: 2015-5-1 Pages: 315 Publisher: Machinery Industry Press book consists of 24 chapters. Chapters 1-3 cover the basics of language acquisition and installation of R. R environment settings and R packages. Chapters 4 and 5 introduces R language basics and advanced data structures. invo…

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2017-05-01 Pages: $number Publisher: Machinery Industry Press This book will address some of the topics of data mining. such as mathematical presentation. implementation in software. and how to solve business problems accordingly. The purpose of this book is to ena…

paperback. Condition: New. Paperback. Pub Date: 2019-06-01 Pages: 264 Publisher: China Railway Press This book introduces the technology uses the R language for data analysis and mining. the use of Deep framework: Introduction begins at the beginning of the R language the basic operation. and then introduce regression analysis.…

paperback. Condition: New. Paperback. Pub Date: 2019-12-01 Pages: 452 Publisher: Machinery Industry Press Drawing on data scientist Jared P Lander rich in R language teaching experience. through many examples. explain in detail the core functions of the R language. For people new to the program and statistical models. content or…

paperback. Condition: New. Paperback. Pub Date: 2016-03-01 Pages: 424 Language: Chinese Publisher: Electronic Industry Press This book is an excellent primer R language to help readers quickly build relevant knowledge and data analysis system. and learn how to use the R software for data analysis. Regardless of whether the progr…

This essential guide provides a comprehensive introduction to the fundamentals of data analysis using Microsoft Excel, designed for students and professionals aiming to master information utilization. It thoroughly covers the core principles of extracting meaningful insights from data, demonstrating practical applications throug…

Published by Diamond, Inc., this insightful book delves into the practical application of data analysis and artificial intelligence within business environments, guiding readers to cultivate a robust data-driven mindset. It offers strategies and methodologies for effectively leveraging data and AI to solve real-world business ch…

Unlock the power of data with 'Practical Business Data Analysis with Excel,' a comprehensive guide designed for aspiring Business Statistics Specialists and Excel Analysis Specialists. This essential textbook, published by Odyssey Communications, provides practical, hands-on techniques for performing business data analysis using…

Dive into the world of data analysis with this comprehensive Python workbook, published by Shuwa System. Designed for practical application, this book guides readers through hands-on exercises to master Python for analyzing data and solving complex real-world problems. It's an essential resource for anyone looking to build their…

This book serves as a comprehensive introduction to Kaggle data analysis, guiding readers through practical Python-powered methods. Published by ShÅeisha, a reputable technology publisher, it focuses on hands-on learning for tackling real-world data science challenges often found on the Kaggle platform. Readers will gain essenti…

This essential guide provides a comprehensive and practical introduction to Financial Planning & Analysis (FP&A), emphasizing the crucial roles of systematization and data analysis. Published by the esteemed Chuo Keizai-sha, it is tailored for professionals and students aiming to master modern strategic financial management tech…

This insightful guide, published by the reputable Morikita Shuppan, delves into the practical application of Python for analyzing stock market data. Readers will learn how to leverage Python's powerful libraries to interpret stock trends, perform technical analysis, and make data-driven investment decisions. An essential resourc…

This book by Hiroki Kato, published by Daigaku Kyoiku Shuppan, provides a practical, step-by-step approach to data analysis and medical statistics, covering data processing techniques and how to select appropriate analytical methods. Ideal for students and professionals in the medical field, it offers hands-on guidance for apply…

This essential guide, published by Nihon Hyoron Sha, offers educators comprehensive strategies for leveraging data in their daily work. It meticulously covers the entire process of data utilization, from effective collection and insightful analysis to practical application within educational environments. Designed to empower pro…

This book, 'Practical Data Analysis: Field-Ready Data Science Essentials,' is a comprehensive textbook designed for professionals seeking to master data analysis and data science skills for immediate application in their respective fields. Published by Ricktelecom, known for its technical and business publications, it delves int…

This essential textbook provides a comprehensive guide to data analysis, presenting the practical knowledge and methodologies honed by frontline consultants at Macromill, a leading market research firm. Readers will gain insights into cutting-edge data utilization strategies, making it an invaluable resource for professionals an…

This comprehensive guide delves into practical statistics, providing an accessible introduction to core concepts essential for data analysis. It specifically focuses on regression analysis, a fundamental tool in statistical modeling, and offers an introductory exploration into the burgeoning field of data science. Ideal for stud…

Dive into the world of practical data science with 'Practical Python Machine Learning: Data Analysis for Problem Solving'. This essential textbook from Shoeisha provides a comprehensive introduction to Python-based machine learning, focusing on fundamental data analysis techniques geared towards real-world problem-solving. Reade…

Dive into the world of financial data analysis with this comprehensive introductory textbook published by Kodansha. This practical guide equips readers with essential techniques for analyzing financial data, leveraging the powerful capabilities of both Microsoft Excel and Python programming. It covers fundamental concepts and ha…