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Principles of Data Science

Introduction

Principles of Data ScienceIntroduction
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Petroglyphs of animals and other symbols.
Figure 1.1 Petroglyphs are one of the earliest types of data generated by humanity, providing vital information about the daily life of the people who created them. (credit: modification of work “Indian petroglyphs (~100 B.C. to ~1540 A.D.) (Newspaper Rock, southeastern Utah, USA) 24” by James St. John/Flickr, CC BY 2.0)

Chapter Outline

1.1 What Is Data Science?
1.2 Data Science in Practice
1.3 Data and Datasets
1.4 Using Technology for Data Science
1.5 Data Science with Python

Many of us use the terms “data” and “data science,” but not necessarily with a lot of precision. This chapter will define data science terminology and apply the terms in multiple fields. The chapter will also briefly introduce the types of technology (such as statistical software, spreadsheets, and programming languages) that data scientists use to perform their work and will then take a deeper dive into the use of Python for data analysis. The chapter should help you build a technical foundation so that you can practice the more advanced data science concepts covered in future chapters.

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© Dec 19, 2024 OpenStax. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License . The OpenStax name, OpenStax logo, OpenStax book covers, OpenStax CNX name, and OpenStax CNX logo are not subject to the Creative Commons license and may not be reproduced without the prior and express written consent of Rice University.