Data science is about using data to answer questions, make decisions, and build predictions. Python is one of the most popular languages for data science because:
- It has powerful libraries (you’ll see some in this chapter).
- It’s relatively easy to read and write.
- It has a huge community and many examples online.
In this chapter, you’ll see how Python fits into a typical data science workflow, and you’ll get a first taste of working with data using a few essential tools.
This chapter is not about advanced math or statistics. Instead, it shows you the basic process and some core techniques so you can understand what data scientists actually do.
We’ll focus on:
- The basic data science workflow
- Reading and exploring data with Python
- Using libraries like
NumPy,pandas, andmatplotlibat a beginner level - Simple analysis tasks you can already understand as a Python beginner