Introduction
1. Introduction
Missing values
Duplicate rows
Outliers
Joining datasets
Summary

Instruction

Hey, how's it going? In this part, we'll work on handling incorrect datasets.

In the real world, data scientists use datasets that are provided by others. Reality is harsh, and things can go wrong:

  • People often make mistakes when collecting data.
  • Devices that collect data may suddenly break down.
  • Some data may simply be missing.

We have to be able to recognize such problems and know how to tackle them.

Exercise

Click Next exercise to continue.