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An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here: https://github.com/tbrown122387/r_and_python_book/tree/master/data. Instructors can access the solutions manual via the book''s website. Key features: - Teaches R and Python in a "side-by-side" way. - Examples are tailored to aspiring data scientists and statisticians, not software engineers. - Designed for introductory graduate students. - Does not assume any mathematical background. Format Inbunden Omfång 246 sidor Språk Engelska Förlag Taylor & Francis Ltd Utgivningsdatum 2023-06-28 ISBN 9781032203256
Avvakta – priset är högt
BookHero
21 kr dyrare
Rör sig ofta
Förlag
CRC Press LLC
Utgivningsår
2023
Format
Inbunden
Språk
Engelska
ISBN
9781032203256
Lägsta pris
Just nu listar 1 butik den här boken. Vi uppdaterar priserna flera gånger per dag — bevaka priset så meddelar vi dig när fler butiker eller ett lägre pris dyker upp.
Vi har hittat boken hos 1 butik med verifierat pris — en partnerbutik som vi får provision från när du klickar på ”Visa hos butik”. Vissa butiker visas som extern länk utan pris — priset ser du först hos butiken. Priset för dig är detsamma. Frakt kan tillkomma och varierar mellan butiker och leveranssätt — kontrollera alltid aktuellt pris och leveransvillkor hos butiken innan du slutför köpet.
Skriver du om boken på en blogg eller sajt? .
Priset har nyligen gått ner jämfört med butikens eget tidigare pris.
Det lägsta priset vi sett för boken sedan Booki började mäta.
Billigaste butiken ligger under de övriga butikernas medianpris just nu — en jämförelse mellan butiker, inte ett prisfall över tid.
Butiken med lägst pris i prislistan på boksidan just nu.
An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here: https://github.com/tbrown122387/r_and_python_book/tree/master/data. Instructors can access the solutions manual via the book''s website. Key features: - Teaches R and Python in a "side-by-side" way. - Examples are tailored to aspiring data scientists and statisticians, not software engineers. - Designed for introductory graduate students. - Does not assume any mathematical background. Format Inbunden Omfång 246 sidor Språk Engelska Förlag Taylor & Francis Ltd Utgivningsdatum 2023-06-28 ISBN 9781032203256
Avvakta – priset är högt
BookHero
21 kr dyrare
Rör sig ofta
Förlag
CRC Press LLC
Utgivningsår
2023
Format
Inbunden
Språk
Engelska
ISBN
9781032203256
Inbunden · Engelska
Just nu listar 1 butik den här boken. Bevaka priset så meddelar vi dig när fler butiker eller ett lägre pris dyker upp.
ISBN 9781032203256 jämförs hos alla butiker
An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here: https://github.com/tbrown122387/r_and_python_book/tree/master/data. Instructors can access the solutions manual via the book''s website. Key features: - Teaches R and Python in a "side-by-side" way. - Examples are tailored to aspiring data scientists and statisticians, not software engineers. - Designed for introductory graduate students. - Does not assume any mathematical background. Format Inbunden Omfång 246 sidor Språk Engelska Förlag Taylor & Francis Ltd Utgivningsdatum 2023-06-28 ISBN 9781032203256
Avvakta – priset är högt
BookHero
21 kr dyrare
Rör sig ofta
Förlag
CRC Press LLC
Format
Inbunden
Språk
Engelska
ISBN
9781032203256
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