An Introduction To Data Analysis
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An Introduction To Data Analysis
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Author : Jarrod Daehn
language : en
Publisher: Independently Published
Release Date : 2022-01-26
An Introduction To Data Analysis written by Jarrod Daehn and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-26 with categories.
It is just the initial step, be that as it may, which is the reason the accompanying parts will examine all that you want to be familiar with information examination overall and prescient investigation explicitly. This implies there are nitty-gritty sections on information gathering, information mining, relapse methods, AI strategies, discrete decision models, and that's just the beginning. You will likewise observe a top to bottom glance at a significant number of the most widely recognized slip-ups that organizations make with regards to information the executives and how to keep away from them. At last, things will wrap up with a point-by-point conversation of the best open-source programs that can make them examine information this very evening. Inside you will find: -A Complete Breakdown of the Basics of Data Analytics and Predictive Analysis -The Secrets the Pros Use When It Comes to Data Mining and Data Gathering -Information Management Mistakes to Avoid -The Best Beginner Regression and Machine Learning Techniques -The Best Free Programs to Get You Started -What's more a whole lot more...
An Introduction To Statistical Methods And Data Analysis
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Author : Lyman Ott
language : en
Publisher: Brooks/Cole
Release Date : 1977
An Introduction To Statistical Methods And Data Analysis written by Lyman Ott and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Mathematics categories.
A General Introduction To Data Analytics
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Author : João Moreira
language : en
Publisher: John Wiley & Sons
Release Date : 2018-07-02
A General Introduction To Data Analytics written by João Moreira 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 2018-07-02 with Mathematics categories.
A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniques A unique illustrative example that extends throughout all the chapters Exercises at the end of each chapter and larger projects at the end of each of the text’s two main parts Together with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic. The book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. A General Introduction to Data Analytics is a basic guide to data analytics written in highly accessible terms.
Introduction To Statistics And Data Analysis
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Author : Christian Heumann
language : en
Publisher: Springer
Release Date : 2017-01-26
Introduction To Statistics And Data Analysis written by Christian Heumann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-26 with Mathematics categories.
This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
An Introduction To Data Analysis In R
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Author : Alfonso Zamora Saiz
language : en
Publisher: Springer Nature
Release Date : 2020-07-27
An Introduction To Data Analysis In R written by Alfonso Zamora Saiz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-27 with Computers categories.
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.
An Introduction To Statistics And Data Analysis Using Stata
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Author : Lisa Daniels
language : en
Publisher: SAGE Publications
Release Date : 2019-01-11
An Introduction To Statistics And Data Analysis Using Stata written by Lisa Daniels and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-11 with Social Science categories.
An Introduction to Statistics and Data Analysis Using Stata® by Lisa Daniels and Nicholas Minot provides a step-by-step introduction for statistics, data analysis, or research methods classes with Stata. Concise descriptions emphasize the concepts behind statistics for students rather than the derivations of the formulas. With real-world examples from a variety of disciplines and extensive detail on the commands in Stata, this text provides an integrated approach to research design, statistical analysis, and report writing for social science students.
An Introduction To Data Analysis Using Aggregation Functions In R
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Author : Simon James
language : en
Publisher: Springer
Release Date : 2016-11-07
An Introduction To Data Analysis Using Aggregation Functions In R written by Simon James and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-07 with Computers categories.
This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background. Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects. This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
An Introduction To Data Analysis
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Author : Tiffany Bergin
language : en
Publisher: SAGE
Release Date : 2018-10-15
An Introduction To Data Analysis written by Tiffany Bergin and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-15 with Social Science categories.
Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques - Data management - The big data phenomenon - Data visualisation - Effective data communication Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.
Introduction To Data Science
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Author : Laura Igual
language : en
Publisher: Springer Nature
Release Date : 2024-04-12
Introduction To Data Science written by Laura Igual and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Computers categories.
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data science Reviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.
An Introduction To Data Analysis
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Author : Bruce D. Bowen
language : en
Publisher:
Release Date : 1977
An Introduction To Data Analysis written by Bruce D. Bowen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with categories.