Introduction to Data Science

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Introduction to Data Science

A Python Approach to Concepts, Techniques and Applications

Undergraduate Topics in Computer Science


Target Audiences
This book is addressed to upper-tier undergraduate and beginning graduate students from technical disciplines. Moreover, this book is also addressed to professional audiences following continuous education short courses and to researchers from diverse areas following self-study courses.
Basic skills in computer science, mathematics, and statistics are required. Code programming in Python is of benefit. However, even if the reader is new to Python, this should not be a problem, since acquiring the Python basics is manageable in a short period of time.

Suggested Uses of the Book
This book can be used in any introductory data science course. The problem-based approach adopted to introduce new concepts can be useful for the beginners. The implemented code solutions for different problems are a good set of exercises for the students. Moreover, these codes can serve as a baseline when students face bigger projects.



Additional information


Laura Igual, Santi Seguí

File Size (MB)

7 MB

File Type






Publication Year


1 review for Introduction to Data Science

  1. dk admin

    Undergraduate Topics in Computer Science

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