Essentials of data science and analytics: statistical tools, machine learning, and r-statistical software overview
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
New York
Business Expert Press
2021
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xix, 460 Seiten Illustrationen, Diagramme |
| ISBN: | 9781631573453 |
Staff View
MARC
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Record in the Search Index
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| adam_text | Contents Preface........................ xiii Acknowledgments......................................................................................... xxi Part I Data Science, Analytics, and Business Analytics............1 Chapter 1 Data Science and Its Scope.....................................................3 Chapter 2 Data Science, Analytics, and Business Chapter 3 Business Analytics, Business Intelligence, and Analytics (BA)....................................... Their Relation to Data Science.............................. Part II 19 39 Understanding Data and Data Analysis Applications........................................................................ 49 Chapter 4 Understanding Data, Data Types, and Data-Related Terms............................. Chapter 5 51 Data Analysis Tools for Data Science and Analytics: Data Analysis Using Excel................................ 67 Part III Data Visualization and Statistics for Data Science................................................................................135 Chapter 6 Basic Statistical Concepts for Data Science......................137 Chapter 7 Descriptive Analytics_Visualizing Data Using Graphs and Charts............................................ 155 Chapter 8 Numerical Methods for Data Science Applications........ 199 Chapter 9 Applications of Probability in Data Science.................... 255 Chapter 10 Discrete Probability Distributions Applications in Data Science...................................................................301 Chapter 11 Sampling and Sampling Distributions: Central Limit
Theorem...................................................................351 Chapter 12 Estimation, Confidence Intervals, Hypothesis Testing............................................................ 381
xii CONTENTS Part IV Introduction to Machine Learning and R-statistical Programming Software...................................................421 Chapter 13 Basics of MachLearning (ML)......................................... 423 Chapter 14 R Statistical Programing Software for Data Science.......437 Online Rrferences........................................................................................443 Additional Reading.t................................................................................... 445 About the Author........................................................................................449 Index.......................................................................................................... 451
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| adam_txt |
Contents Preface. xiii Acknowledgments. xxi Part I Data Science, Analytics, and Business Analytics.1 Chapter 1 Data Science and Its Scope.3 Chapter 2 Data Science, Analytics, and Business Chapter 3 Business Analytics, Business Intelligence, and Analytics (BA). Their Relation to Data Science. Part II 19 39 Understanding Data and Data Analysis Applications. 49 Chapter 4 Understanding Data, Data Types, and Data-Related Terms. Chapter 5 51 Data Analysis Tools for Data Science and Analytics: Data Analysis Using Excel. 67 Part III Data Visualization and Statistics for Data Science.135 Chapter 6 Basic Statistical Concepts for Data Science.137 Chapter 7 Descriptive Analytics_Visualizing Data Using Graphs and Charts. 155 Chapter 8 Numerical Methods for Data Science Applications. 199 Chapter 9 Applications of Probability in Data Science. 255 Chapter 10 Discrete Probability Distributions Applications in Data Science.301 Chapter 11 Sampling and Sampling Distributions: Central Limit
Theorem.351 Chapter 12 Estimation, Confidence Intervals, Hypothesis Testing. 381
xii CONTENTS Part IV Introduction to Machine Learning and R-statistical Programming Software.421 Chapter 13 Basics of MachLearning (ML). 423 Chapter 14 R Statistical Programing Software for Data Science.437 Online Rrferences.443 Additional Reading.t. 445 About the Author.449 Index. 451 |
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| spelling | Amar, Sahay Verfasser aut Essentials of data science and analytics statistical tools, machine learning, and r-statistical software overview Sahay Amar New York Business Expert Press 2021 xix, 460 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier R Programm (DE-588)4705956-4 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Data Science (DE-588)1140936166 s R Programm (DE-588)4705956-4 s b DE-604 Erscheint auch als Online-Ausgabe 978-1-63157-346-0 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032698138&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Essentials of data science and analytics statistical tools, machine learning, and r-statistical software overview |
| title_auth | Essentials of data science and analytics statistical tools, machine learning, and r-statistical software overview |
| title_exact_search | Essentials of data science and analytics statistical tools, machine learning, and r-statistical software overview |
| title_exact_search_txtP | Essentials of data science and analytics statistical tools, machine learning, and r-statistical software overview |
| title_full | Essentials of data science and analytics statistical tools, machine learning, and r-statistical software overview Sahay Amar |
| title_fullStr | Essentials of data science and analytics statistical tools, machine learning, and r-statistical software overview Sahay Amar |
| title_full_unstemmed | Essentials of data science and analytics statistical tools, machine learning, and r-statistical software overview Sahay Amar |
| title_short | Essentials of data science and analytics |
| title_sort | essentials of data science and analytics statistical tools machine learning and r statistical software overview |
| title_sub | statistical tools, machine learning, and r-statistical software overview |
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