80 rezultatov
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Python for Data Analysis 3e(2022) MCKINNEY, WESUpdated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively.Vezava: Mehka82,08 € -
Communicating with Data(2021) ALLCHIN, CARLWith this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations.Vezava: Mehka82,08 € -
Painting by Numbers(2021) GREENWALD, DIANA SEAVEAn innovative application of economic methods to the study of art history, demonstrating that new insights can be uncovered by using quantitative and qualitative methods together, which sheds light on longstanding disciplinary inequitiesVezava: Trda49,98 € -
Data Visualization(2018) HEALY, KIERANAn accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how tVezava: Trda117,81 € -
Humanities Data Analysis(2021) KARSDORP, FOLGERT,KESTEMONT, MIKE,RIDDELL, ALLENA practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patternVezava: Trda64,88 € -
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Big Data(2017) HOLMES, DAWN E. (FACULTY MEMBER, DEPARTMENT OF STATISTICS AND APPLIED PROBABILITY, UNIVERSITY OF CALIFORNIA, SANTA BARBARA)An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technolVezava: Mehka13,88 € -
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Average is Always Wrong(2020) SHEPHERD, IANThe Average is Always Wrong is a completely pragmatic and hands-on guide to harnessing data to transform your business for the better.Vezava: Mehka20,83 € -
Model-Based Clustering and Classification for Data Science(2019) BOUVEYRON, CHARLES,CELEUX, GILLES,MURPHY, T. BRENDAN (UNIVERSITY COLLEGE DUBLIN),RAFTERY, ADRIAN E. (UNIVERSITY OF WASHINGTON)This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and predictioVezava: Trda118,72 € -
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Building Real-Time Analytics Systems(2023) NEEDHAM, MARKWith this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changeVezava: Mehka67,97 € -
R for Data Science(2023) WICKHAM, HADLEY,CETINKAYA-RUNDEL, MINE,GROLEMUND, GARRETTIdeal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have nVezava: Mehka82,08 € -
Hands-On Data Visualization(2021) DOUGHERTY, JACKTell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google SheetsVezava: Mehka67,97 € -
Mastering Shiny(2021) WICKHAM, HADLEYHadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R.Vezava: Mehka82,08 € -
Managing Data Quality(2020) KING, TIM,SCHWARZENBACH, JULIANThis book explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61.Vezava: Mehka51,67 € -
Exploring Big Historical Data: The Historian's Macroscope(2022) GRAHAM, SHAWN (CARLETON UNIV, CANADA),MILLIGAN, IAN (UNIV OF WATERLOO, CANADA),WEINGART, SCOTT B (UNIV OF NOTRE DAME, USA),MARTIN, KIMBERLEY (UNIV OF GUELPH, CANADA)Vezava: Mehka71,56 € -
Practical Data Privacy(2023) JARMUL, KATHARINEThis essential guide will give you solid advice and best practices on breakthrough privacy-enhancing technologies such as encrypted learning and differential privacy--as well as a look at emerging technologies and techniques in the field.Vezava: Mehka67,97 € -
Data Stewardship(2020) PLOTKIN, DAVID (ADVISORY CONSULTANT, EMC2, WORKING IN ENTERPRISE INFORMATION MANAGEMENT)Vezava: Mehka69,74 €
