Chapter 1 – Introducing Data Science
In this chapter, we introduce the core concepts of data science and the data science process. This is the most general chapter of this entire workbook. There’s no coding nor algorithms yet. That will come later. But the ideas presented here are important for the work ahead.
For those of you in Sociology 1205, this chapter covers Doing Data Science Module for Unit 1.
This chapter includes 5 short videos that explore three broad topics: what is data science, the 4 Vs, and the data science process. I strongly recommend that you take notes and not just passively watch the videos.
Learning Objectives
In this chapter, we cover the following topics:
- the different fields involved in the discipline of data science;
- the relationships between sociology and data science;
- the concepts of datafication and quantification;
- the four Vs :
- volume,
- variety,
- veracity,
- and velocity;
- the components of the data science process and how they relate to each other;
- the differences between supervised and unsupervised training;
What is Data Science? Part 1
What is Data Science? Part 2
The Four Vs
The Data Science Process – Part 1
The Data Science Process – Part 2
For those of you in Sociology 1205, please head on over to the quiz posted in the course.
