The Five Steps of Data Science
This chapter will dive into the five core steps involved in the data science process, with examples every step of the way. These five steps include defining a real problem, collecting and preprocessing the data, exploring and analyzing the data, drawing conclusions, and communicating results effectively.
We will also delve into the important topics of data exploration and data visualization. Data exploration involves examining the characteristics and patterns in your data to better understand it, while data visualization involves using graphs, charts, and other visual aids to represent and communicate your data and findings.
By the end of this chapter, you will have a solid understanding of the data science process and how to apply it to solve real-world problems. So, let’s get started!
We will also cover the following topics in this chapter:
- An introduction to what data science really is
- Exploring data effectively
- Exploration...
