Modern Statistics: Intuition, Math, Python, R
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
[Erscheinungsort nicht ermittelbar]
Independently published
2024
|
| Subjects: | |
| Abstract: | The book places a strong emphasis on the practical implementation of statistical techniques, with extensive Python and R code examples that bring to life the concepts of correlations, confidence intervals, ANOVA, and regression analysis. The chapters on permutation tests, power and sample size calculations, biases, and data communication underscore the importance of robust statistical practice and effective data storytelling in research and professional settings. |
| ISBN: | 9798867723736 |
Staff View
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV049584478 | ||
| 003 | DE-604 | ||
| 005 | 20241121 | ||
| 007 | t| | ||
| 008 | 240225s2024 xx |||| 00||| eng d | ||
| 020 | |a 9798867723736 |9 9798867723736 | ||
| 035 | |a (OCoLC)1424561369 | ||
| 035 | |a (DE-599)BVBBV049584478 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-188 |a DE-20 | ||
| 084 | |a CM 4000 |0 (DE-625)18951: |2 rvk | ||
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 100 | 1 | |a Cohen, Mike X. |d 1979- |e Verfasser |0 (DE-588)1048190862 |4 aut | |
| 245 | 1 | 0 | |a Modern Statistics |b Intuition, Math, Python, R |
| 264 | 1 | |a [Erscheinungsort nicht ermittelbar] |b Independently published |c 2024 | |
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 505 | 8 | |a This textbook is not only a rich source of statistical knowledge but also a practical guide to applying these concepts using the latest software tools. It bridges the gap between statistical theory and real-world data analysis, ensuring readers are equipped to tackle complex data challenges with confidence. Whether you are a student embarking on your statistical journey or a seasoned professional looking to refine your skills, "Modern Statistics: Intuition, Math, Python, R" is a vital addition to your educational toolkit. Targeted at those who appreciate the rigor of statistical analysis and the nuances of data interpretation, this book is a testament to the ever-evolving field of statistics and its pivotal role in the age of data science and machine learning. | |
| 520 | 3 | |a The book places a strong emphasis on the practical implementation of statistical techniques, with extensive Python and R code examples that bring to life the concepts of correlations, confidence intervals, ANOVA, and regression analysis. The chapters on permutation tests, power and sample size calculations, biases, and data communication underscore the importance of robust statistical practice and effective data storytelling in research and professional settings. | |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Data Science |0 (DE-588)1140936166 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Statistik |0 (DE-588)4056995-0 |D s |
| 689 | 0 | 1 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | 2 | |a Data Science |0 (DE-588)1140936166 |D s |
| 689 | 0 | 3 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
| 689 | 0 | 4 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | 5 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
| 689 | 0 | |5 DE-604 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034929333 | |
Record in the Search Index
| _version_ | 1820951691063721984 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Cohen, Mike X. 1979- |
| author_GND | (DE-588)1048190862 |
| author_facet | Cohen, Mike X. 1979- |
| author_role | aut |
| author_sort | Cohen, Mike X. 1979- |
| author_variant | m x c mx mxc |
| building | Verbundindex |
| bvnumber | BV049584478 |
| classification_rvk | CM 4000 ST 250 |
| contents | This textbook is not only a rich source of statistical knowledge but also a practical guide to applying these concepts using the latest software tools. It bridges the gap between statistical theory and real-world data analysis, ensuring readers are equipped to tackle complex data challenges with confidence. Whether you are a student embarking on your statistical journey or a seasoned professional looking to refine your skills, "Modern Statistics: Intuition, Math, Python, R" is a vital addition to your educational toolkit. Targeted at those who appreciate the rigor of statistical analysis and the nuances of data interpretation, this book is a testament to the ever-evolving field of statistics and its pivotal role in the age of data science and machine learning. |
| ctrlnum | (OCoLC)1424561369 (DE-599)BVBBV049584478 |
| discipline | Informatik Psychologie |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV049584478</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20241121</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">240225s2024 xx |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798867723736</subfield><subfield code="9">9798867723736</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1424561369</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049584478</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-188</subfield><subfield code="a">DE-20</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">CM 4000</subfield><subfield code="0">(DE-625)18951:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Cohen, Mike X.</subfield><subfield code="d">1979-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1048190862</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Modern Statistics</subfield><subfield code="b">Intuition, Math, Python, R</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Erscheinungsort nicht ermittelbar]</subfield><subfield code="b">Independently published</subfield><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">This textbook is not only a rich source of statistical knowledge but also a practical guide to applying these concepts using the latest software tools. It bridges the gap between statistical theory and real-world data analysis, ensuring readers are equipped to tackle complex data challenges with confidence. Whether you are a student embarking on your statistical journey or a seasoned professional looking to refine your skills, "Modern Statistics: Intuition, Math, Python, R" is a vital addition to your educational toolkit. Targeted at those who appreciate the rigor of statistical analysis and the nuances of data interpretation, this book is a testament to the ever-evolving field of statistics and its pivotal role in the age of data science and machine learning.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">The book places a strong emphasis on the practical implementation of statistical techniques, with extensive Python and R code examples that bring to life the concepts of correlations, confidence intervals, ANOVA, and regression analysis. The chapters on permutation tests, power and sample size calculations, biases, and data communication underscore the importance of robust statistical practice and effective data storytelling in research and professional settings.</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034929333</subfield></datafield></record></collection> |
| id | DE-604.BV049584478 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-11T11:27:39Z |
| institution | BVB |
| isbn | 9798867723736 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034929333 |
| oclc_num | 1424561369 |
| open_access_boolean | |
| owner | DE-188 DE-20 |
| owner_facet | DE-188 DE-20 |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Independently published |
| record_format | marc |
| spelling | Cohen, Mike X. 1979- Verfasser (DE-588)1048190862 aut Modern Statistics Intuition, Math, Python, R [Erscheinungsort nicht ermittelbar] Independently published 2024 txt rdacontent n rdamedia nc rdacarrier This textbook is not only a rich source of statistical knowledge but also a practical guide to applying these concepts using the latest software tools. It bridges the gap between statistical theory and real-world data analysis, ensuring readers are equipped to tackle complex data challenges with confidence. Whether you are a student embarking on your statistical journey or a seasoned professional looking to refine your skills, "Modern Statistics: Intuition, Math, Python, R" is a vital addition to your educational toolkit. Targeted at those who appreciate the rigor of statistical analysis and the nuances of data interpretation, this book is a testament to the ever-evolving field of statistics and its pivotal role in the age of data science and machine learning. The book places a strong emphasis on the practical implementation of statistical techniques, with extensive Python and R code examples that bring to life the concepts of correlations, confidence intervals, ANOVA, and regression analysis. The chapters on permutation tests, power and sample size calculations, biases, and data communication underscore the importance of robust statistical practice and effective data storytelling in research and professional settings. Datenanalyse (DE-588)4123037-1 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s Python Programmiersprache (DE-588)4434275-5 s Data Science (DE-588)1140936166 s R Programm (DE-588)4705956-4 s Datenanalyse (DE-588)4123037-1 s DE-604 |
| spellingShingle | Cohen, Mike X. 1979- Modern Statistics Intuition, Math, Python, R This textbook is not only a rich source of statistical knowledge but also a practical guide to applying these concepts using the latest software tools. It bridges the gap between statistical theory and real-world data analysis, ensuring readers are equipped to tackle complex data challenges with confidence. Whether you are a student embarking on your statistical journey or a seasoned professional looking to refine your skills, "Modern Statistics: Intuition, Math, Python, R" is a vital addition to your educational toolkit. Targeted at those who appreciate the rigor of statistical analysis and the nuances of data interpretation, this book is a testament to the ever-evolving field of statistics and its pivotal role in the age of data science and machine learning. Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd Python Programmiersprache (DE-588)4434275-5 gnd Data Science (DE-588)1140936166 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4705956-4 (DE-588)4434275-5 (DE-588)1140936166 (DE-588)4056995-0 |
| title | Modern Statistics Intuition, Math, Python, R |
| title_auth | Modern Statistics Intuition, Math, Python, R |
| title_exact_search | Modern Statistics Intuition, Math, Python, R |
| title_full | Modern Statistics Intuition, Math, Python, R |
| title_fullStr | Modern Statistics Intuition, Math, Python, R |
| title_full_unstemmed | Modern Statistics Intuition, Math, Python, R |
| title_short | Modern Statistics |
| title_sort | modern statistics intuition math python r |
| title_sub | Intuition, Math, Python, R |
| topic | Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd Python Programmiersprache (DE-588)4434275-5 gnd Data Science (DE-588)1140936166 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Datenanalyse R Programm Python Programmiersprache Data Science Statistik |
| work_keys_str_mv | AT cohenmikex modernstatisticsintuitionmathpythonr |