Data Science Fundamentals with R, Python, and Open Data (True PDF)
English | 2024 | ISBN: 1394213247 | 480 pages | True PDF | 8.95 MB
Data Science Fundamentals with R, Python, and Open DataIntroduction 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 Datadiscusses 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 Datadiscuss sample topics such as
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