Data Science in Context: Foundations, Challenges, Opportunities

Basketball Data Science: With Applications in R (Chapman Hall/CRC Data Science Series)

Data Driven Seo With Python : Solve Seo Challenges With Data Science Using Python

Barriers and Challenges in Computational Fluid Dynamics (ICASE LaRC Interdisciplinary Series in Science and Engineering)

Nursing in the 1980s: Crises, Opportunities, Challenges [first edition]

High-Dimensional Probability: An Introduction with Applications in Data Science

Beginning Data Science in R 4 : Data Analysis, Visualization, and Modelling for the Data Scientist

Data Science Programming All-in-One For Dummies

Game Data Science

Programming Skills For Data Science

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Metaphysical Foundations of Modern Science

Python for Data Science For Dummies (For Dummies (Computer/Tech))

Data Structures and Algorithms: Multi-Dimensional Searching and Computational Geometry (Etacs Monographs on Theroetical Computer Science)

Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis)

The Independent Data Consultant: A Comprehensive Guide for Data Scientists to Start Data Science Consulting Business

Organizational Citizenship Behavior: Its Nature, Antecedents, and Consequences (Foundations for Organizational Science)

Science without Laws (Science and Its Conceptual Foundations)

Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street

Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools (Paperback or Softback)

Science as a Way of Knowing: The Foundations of Modern Biology

Science As a Process: An Evolutionary Account of the Social and Conceptual Development of Science (Science and Its Conceptual Foundations Series)

Mastering Python for Data Science

Human-Centered Data Science: An Introduction

Theory and Reality: An Introduction to the Philosophy of Science (Science and Its Conceptual Foundations series)

Responsible Data Science

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights (Pearson Business Analytics Series)

Driving Digital Transformation through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products

Clinical Psychology for Trainees: Foundations of Science-Informed Practice

Introduction to Error Analysis: The Science of Measurements, Uncertainties, and Data Analysis

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