Synopsis
Data Science Fundamentals with R, Python, and Open Data
Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projects
Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry...
About the Author
Marco Cremonini is Assistant Professor with the Department of Social and Political Sciences at the University of Milan, Italy. He is Academic Editor and Board Member of PLOS ONE and his current research interests are focused on computational network and agent-based models of propagation and behavior.
From the Back Cover
Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projects
Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of...
"About this title" may belong to another edition of this title.
- PublisherWiley
- Publication date2024
- ISBN 10 1394213247
- ISBN 13 9781394213245
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages480
Search results for Data Science Fundamentals with R, Python, and Open...
Stock Image
Data Science Fundamentals with R, Python, and Open Data
Seller: BooksRun, Philadelphia, PA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Seller Inventory # 1394213247-8-1
Quantity: 1 available
Stock Image
DATA SCIENCE FUNDAMENTALS WITH R, PYTHON, AND OPEN DATA
Seller: Basi6 International, Irving, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Seller Inventory # ABEJUNE24-380268
Quantity: 2 available
Seller Image
Data Science Fundamentals With R, Python, and Open Data
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 45872766-n
Quantity: Over 20 available
Stock Image
Data Science Fundamentals with R, Python and Open Data
Seller: Kuba Libri, Prague, Czech Republic
Seller rating 5 out of 5 stars
Hardcover. Condition: New. Seller Inventory # 010845
Quantity: 1 available
Stock Image
Data Science Fundamentals with R, Python, and Open Data
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FW-9781394213245
Quantity: 15 available
Seller Image
Data Science Fundamentals With R, Python, and Open Data
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 45872766
Quantity: Over 20 available
Stock Image
Data Science Fundamentals with R, Python, and Open Data
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. 1st edition NO-PA16APR2015-KAP. Seller Inventory # 26399210016
Quantity: 1 available
Stock Image
Data Science Fundamentals with R, Python, and Open Data
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 398248447
Quantity: 1 available
Seller Image
Data Science Fundamentals With R, Python, and Open Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 45872766-n
Quantity: Over 20 available
Stock Image
Data Science Fundamentals with R, Python, and Open Data (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394213247
ISBN 13: 9781394213245
New
Hardcover
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. Data Science Fundamentals with R, Python, and Open Data Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projects Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the two. The text examines intricacies and inconsistencies often found in real data, explaining how to recognize them and guiding readers through possible solutions, and enables readers to handle real data confidently and apply transformations to reorganize, indexing, aggregate, and elaborate. This book is full of reader interactivity, with a companion website hosting supplementary material including datasets used in the examples and complete running code (R scripts and Jupyter notebooks) of all examples. Exam-style questions are implemented and multiple choice questions to support the readers active learning. Each chapter presents one or more case studies. Written by a highly qualified academic, Data Science Fundamentals with R, Python, and Open Data discuss sample topics such as: Data organization and operations on data frames, covering reading CSV dataset and common errors, and slicing, creating, and deleting columns in R Logical conditions and row selection, covering selection of rows with logical condition and operations on dates, strings, and missing values Pivoting operations and wide form-long form transformations, indexing by groups with multiple variables, and indexing by group and aggregations Conditional statements and iterations, multicolumn functions and operations, data frame joins, and handling data in list/dictionary format Data Science Fundamentals with R, Python, and Open Data is a highly accessible learning resource for students from heterogeneous disciplines where Data Science and quantitative, computational methods are gaining popularity, along with hard sciences not closely related to computer science, and medical fields using stochastic and quantitative models. "Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data."-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781394213245
Quantity: 1 available