Häftad · Engelska · 321 sidor · 2022
- Format
- Häftad
- Språk
- Engelska
- Omfång
- 321 sidor
- Förlag
- Springer
- Utgiven
- 2022
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science. Format Häftad Omfång 321 sidor Språk Engelska Förlag Springer Nature Switzerland AG Utgivningsdatum 2022-02-03 ISBN 9783030105303
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science. Format Häftad Omfång 321 sidor Språk Engelska Förlag Springer Nature Switzerland AG Utgivningsdatum 2022-02-03 ISBN 9783030105303
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This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science. Format Häftad Omfång 321 sidor Språk Engelska Förlag Springer Nature Switzerland AG Utgivningsdatum 2022-02-03 ISBN 9783030105303
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science. Format Häftad Omfång 321 sidor Språk Engelska Förlag Springer Nature Switzerland AG Utgivningsdatum 2022-02-03 ISBN 9783030105303
Bokfakta
Författare
Maurits Kaptein, Edwin Van den Heuvel
Serie
Undergraduate topics in computer science
Förlag
Springer
Utgivningsår
2022
Format
Häftad
Sidantal
321
Språk
Engelska
Fysiska detaljer
charts
Dewey
519.50285
ISBN
9783030105303
Kategorier
Medverkande
Författare
Maurits Kaptein, Edwin Van den Heuvel
