Statistics for Data Science and Business Analysis - The Various Types of Data We can Work With

The video tutorial introduces the concept of data types, focusing on categorical and numerical data. Categorical data is described as data that represents categories or groups, such as car brands or yes/no questions. Numerical data is divided into discrete and continuous types. Discrete data can be counted and includes examples like the number of children or SAT scores. Continuous data, such as weight or time, can take on an infinite number of values. The tutorial emphasizes the importance of understanding these data types for statistical analysis and visualization.

What are the two main ways to classify data?

Explain the difference between categorical data and numerical data.

What is discrete data and how does it differ from continuous data?

How can money be classified in terms of data types?

Provide examples of continuous data.