Data Insight Foundations (Paperback)
Language: English
Published by APress, Berkley, 2025
- Softcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 32.12
Quantity: 1 available
Add to basketItem description from seller
Paperback. This book is an essential guide designed to equip you with the vital tools and knowledge needed to excel in data science. Master the end-to-end process of data collection, processing, validation, and imputation using R, and understand fundamental theories to achieve transparency with literate programming, renv, and Git--and much more. Each chapter is concise and focused, rendering complex topics accessible and easy to understand.Data Insight Foundations caters to a diverse audience, including web developers, mathematicians, data analysts, and economists, and its flexible structure allows enables you to explore chapters in sequence or navigate directly to the topics most relevant to you.While examples are primarily in R, a basic understanding of the language is advantageous but not essential. Many chapters, especially those focusing on theory, require no programming knowledge at all. Dive in and discover how to manipulate data, ensure reproducibility, conduct thorough literature reviews, collect data effectively, and present your findings with clarity.What You Will LearnData Management: Master the end-to-end process of data collection, processing, validation, and imputation using R.Reproducible Research: Understand fundamental theories and achieve transparency with literate programming, renv, and Git.Academic Writing: Conduct scientific literature reviews and write structured papers and reports with Quarto.Survey Design: Design well-structured surveys and manage data collection effectively.Data Visualization: Understand data visualization theory and create well-designed and captivating graphics using ggplot2.Who this Book is ForCareer professionals such as research and data analysts transitioning from academia to a professional setting where production quality significantly impacts career progression. Some familiarity with data analytics processes and an interest in learning R or Python are ideal. This book serves as your foundational guide to mastering data analysis with R. It clarifies the principles of tidy data and its significance in organizing information for analysis, setting the stage for more complex concepts.Relational data is covered along with the pivotal role of data validation in ensuring data integrity. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9798868805790
- Title
- Data Insight Foundations (Paperback)
- Author
- Nikita Tkachenko
- Publisher
- APress, Berkley
- Publication year
- 2025
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798868805790
This book is an essential guide designed to equip you with the vital tools and knowledge needed to excel in data science. Master the end-to-end process of data collection, processing, validation, and imputation using R, and understand fundamental theories to achieve transparency with literate programming, renv, and Git--and much more. Each chapter is concise and focused, rendering complex topics accessible and easy to understand.
Data Insight Foundations caters to a diverse audience, including web developers, mathematicians, data analysts, and economists, and its flexible structure allows enables you to explore chapters in sequence or navigate directly to the topics most relevant to you.
While examples are primarily in R, a basic understanding of the language is advantageous but not essential. Many chapters, especially those focusing on theory, require no programming knowledge at all. Dive in and discover how to manipulate data, ensure reproducibility, conduct thorough literature reviews, collect data effectively, and present your findings with clarity.
What You Will Learn
- Data Management: Master the end-to-end process of data collection, processing, validation, and imputation using R.
- Reproducible Research: Understand fundamental theories and achieve transparency with literate programming, renv, and Git.
- Academic Writing: Conduct scientific literature reviews and write structured papers and reports with Quarto.
- Survey Design: Design well-structured surveys and manage data collection effectively.
- Data Visualization: Understand data visualization theory and create well-designed and captivating graphics using ggplot2.
Who this Book is For
Career professionals such as research and data analysts transitioning from academia to a professional setting where production quality significantly impacts career progression. Some familiarity with data analytics processes and an interest in learning R or Python are ideal.
"Synopsis" may belong to another edition of this title.
About the Author
Nikita Tkachenko serves as the Chief Technology Officer (CTO) at Bridges and Barriers Advisory Services. In this role, he specializes in developing data tools tailored for executives at organizations embarking on their transformative data journeys. Beyond his work at Bridges and Barriers, Nikita is deeply engaged in academia. He imparts his knowledge by instructing Research Tools, providing mentorship to students, and conducting research at the University of San Francisco.
"About the title" may belong to another edition of this title.
Grand Eagle Retail
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AbeBooks seller since October 12, 2005
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