Learn R By Coding

Thomas Kurnicki

ISBN 10: 8395204612 / ISBN 13: 9788395204616

Published by Thomas Kurnicki Sep 2019, 2019

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book is created for students and working professionals that are at the beginning of their journey with R. Prior experience or education in statistics or skills in another programming language is a 'good-to-have' as this book will explain basic data manipulation, modeling, and programming frameworks. However, this book takes the reader from step one so that anyone, even without prior experience, can understand the content.Each chapter will outline basic concepts and challenges and provide countless examples and exercises for each topic. It is highly recommended to follow the order of chapters as further chapters require understanding of the previous content. At the end of this book, the user should be able to create web applications and dashboards in Shiny.Some readers might be disappointed due to the limited usage of buzz-words. 'Machine learning, deep learning, and artificial intelligence' are avoided at all cost. Instead, the reader will receive a better understanding of basic programming concepts and will be exposed to more exercises and hands-on examples. 172 pp. Englisch.

Seller Inventory # 9788395204616

Bibliographic Details

• Title: Learn R By Coding
• Publisher: Thomas Kurnicki Sep 2019
• Publication Date: 2019
• Language: English
• ISBN 10: 8395204612
• ISBN 13: 9788395204616
• Binding: Buch
• Condition: Neu
• Dimensions: 216W x 153H x 13D millimeters 216 millimeters width by 153 millimeters height by 13 millimeters depth
• Weight: 341 grams

About this title

Synopsis

This book is created for students and working professionals that are at the beginning of their journey with R. Prior experience or education in statistics or skills in another programming language is a "good-to-have" as this book will explain basic data manipulation, modeling, and programming frameworks. However, this book takes the reader from step one so that anyone, even without prior experience, can understand the content.

Each chapter will outline basic concepts and challenges and provide countless examples and exercises for each topic. It is highly recommended to follow the order of chapters as further chapters require understanding of the previous content. At the end of this book, the user should be able to create web applications and dashboards in Shiny.

Some readers might be disappointed due to the limited usage of buzz-words. "Machine learning, deep learning, and artificial intelligence" are avoided at all cost. Instead, the reader will receive a better understanding of basic programming concepts and will be exposed to more exercises and hands-on examples.

About the Author

Thomas Kurnicki is a data and investment market risk consultant having worked at Fortune 500 companies such as Wells Fargo and CBRE in San Francisco. Before his corporate career, he was involved in venture capital investing in Silicon Valley with the Keiretsu Capital group and investment fund. Thomas specializes in data science and business statistics and is focused on implementing quantitative solutions in the investment management industry. He's passionate about implementing data focused projects in fields and industries that are on the verge of technological disruption. He's also an entrepreneur, having co-founded two companies in his native Poland. When it comes to academic achievements, he holds two MS degrees, from Hult International Business School and Warsaw University in Poland. Thomas published multiple research papers in Italy and Poland and is currently writing content for his next book that will cover programming concepts in data science. At Hult International Business School, Thomas teaches core courses in the Masters in Business Analytics program and electives focusing on subjects related to data science and programming. After work, you might find him kitesurfing near Rio Vista, CA or spending his time with his family.