Language Practical Data Analysis (53 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…

This essential guide from Nihon Jitsugyo Publishing provides readers with the knowledge and tools necessary to competently perform data and statistical analysis. While the specific author is not known, the publisher is renowned for producing high-quality practical business and technical guides, suggesting this book offers access…

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…

This technical book from Gihyo Co., Ltd. focuses on practical applications of time series data analysis, providing fundamental knowledge essential for aspiring and professional data scientists. It likely covers methodologies, algorithms, and real-world case studies to equip readers with immediately applicable skills in the field…

This book, published by Shuwa System Shinsha, provides a practical training guide for undertaking data analysis projects. It is designed to equip readers with the necessary skills and methodologies to effectively execute real-world data analysis initiatives, likely covering stages from data collection to interpretation and repor…

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 insightful guide from Nihon Jitsugyo Publishing offers a comprehensive introduction to Bayesian statistics, demystifying its principles and showcasing its practical applications as a powerful analytical tool. Ideal for professionals and students alike, this book breaks down complex statistical concepts into digestible insig…

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…

Unlock the power of data with "Python for MBA," a practical guide designed to equip business professionals with essential Python and data analysis skills. Published by Nikkei BP, a leading Japanese publisher known for business and technology resources, this book focuses on real-world applications relevant to MBA students and pra…

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…