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Chapter 1: What Is Data Science?

Learning Objectives


•Interpret the definition and scope of data science, including its interdisciplinary nature and lifecycle.


•Recognize the benefits of presenting data as a tidy table.


•Distinguish between different data types.


•Describe a coherent data preparation pipeline, considering the various formats and types of data that may be encountered.


•Explore the various types of data analysis for compelling storytelling.


•Evaluate the growing impact of data science in society and industry, including ethical considerations.


Google Drive For Chapter 1 Review Questions

Google Drive For Chapter 1 Data Sets

Section 1.1: Introduction to Data Science

Section 1.2: Data in Tables

Try It Yourself: Identify Variable Uses and Types

Try It Yourself: Tidy Messy Data

Try It Yourself: Tidy Data for Better Analysis

Try It Yourself: Investigate Metadata

Section 1.3: Data Preparation

Try It Yourself: Illustrate Unstructured Data Using Structured Tables

Section 1.4: Data Analysis and Storytelling

Try It Yourself: Identify Analysis Types

Try It Yourself: Optimize the Narrative

Section 1.5: Data Science in Society and Industry

  • Youtube
  • TikTok
  • alt.text.label.Instagram
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