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A Hands-On Introduction to Data Science / Chirag Shah
UK : Cambridge University Press, 2020
424 p. : illustration ; 25 cm.
Ký hiệu phân loại (DDC): 006
This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change.
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2
Beginning Data Science in R : Data Analysis, Visualization, and Modelling for the Data Scientist / Thomas Mailund
NY : Apress, 2017
352 p. : illustration ; 24 cm.
Ký hiệu phân loại (DDC): 005
This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming.
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3
Data Science Projects with Python : A case study approach to successful data science projects using Python, pandas, and scikit-learn / Stephen Klosterman
UK : Packt, 2019
374 p. : illustration ; 24 cm.
Ký hiệu phân loại (DDC): 005.6
Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools, by applying them to realistic data problems. You will learn how to use pandas and Matplotlib to critically examine datasets with summary statistics and graphs, and extract the insights you seek to derive. You will build your knowledge as you prepare data using the scikit-learn package and feed it to machine learning algorithms such as regularized logistic regression and random forest.
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Hands-On Data Analysis with Pandas : A Python data science handbook for data collection, wrangling, analysis, and visualization / Stefanie Molin
UK : Packt, 2021
788 p. : illustration ; 25 cm.
Ký hiệu phân loại (DDC): 006
Using real-world datasets, you will learn how to use the pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data.
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5
Python Data Science Handbook / Jake VanderPlas
UK : O'Reilly Media, 2022
914 p. : illustration ; 25 cm.
Ký hiệu phân loại (DDC): 005
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools.
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