Data Science: A First Introduction

Data Science: A First Introduction focuses on using the R programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference.

The text emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. All source code is available online, demonstrating the use of good reproducible project workflows.

Based on educational research and active learning principles, the book uses a modern approach to R and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The book will leave readers well-prepared for data science projects.

The book is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates in the University of British Columbia's DSCI100: Introduction to Data Science course.

《資料科學：初探》專注於使用R程式語言在Jupyter筆記本中進行資料操作和清理，創建有效的視覺化，並使用分類、回歸、聚類和推論從資料中提取洞察力。

本書強調清晰、可重現和可共享的工作流程，並包括版本控制的基礎知識。所有原始碼都可以在線上獲得，展示了良好可重現專案工作流程的使用方法。

本書基於教育研究和主動學習原則，採用了現代化的R方法，並提供了附帶自動評分的Jupyter工作表，以進行互動式、自主學習。本書將使讀者為資料科學專案做好充分準備。

本書適用於各個學科的學習者，並不需要具備數學和程式編程的先備知識。作者通過多年的經驗，在英屬哥倫比亞大學的DSCI100：《資料科學導論》課程中教授了成千上萬名本科生，對教材進行了精煉。

Tiffany Timbers is an Assistant Professor of Teaching in the Department of Statistics and Co-Director for the Master of Data Science program (Vancouver Option) at the University of British Columbia.

Trevor Campbell is an Assistant Professor in the Department of Statistics at the University of British Columbia.

Melissa Lee is an Assistant Professor of Teaching in the Department of Statistics at the University of British Columbia

Tiffany Timbers是不列顛哥倫比亞大學統計學系的教學助理教授，也是資料科學碩士課程（溫哥華選項）的聯合主任。

Trevor Campbell是不列顛哥倫比亞大學統計學系的助理教授。

Melissa Lee是不列顛哥倫比亞大學統計學系的教學助理教授。