In a Binary Search Tree (BST), the way we look at the data (or "traversals") changes how we can work with it. Here’s a simple breakdown:

1. In-order Traversal: This method gives us a list of items in order. It works through all the parts of the tree once, taking time based on the number of nodes. The time is $O(n)$, where $n$ is how many nodes there are.

2. Pre-order Traversal: This method is great if you want to make a copy of the tree. Just like the in-order method, it works through each part of the tree one time, which also takes $O(n)$ time.

3. Post-order Traversal: We use this method when we want to delete parts of the tree. It too works through every part one time, so it runs in $O(n)$ time.

4. Level-order Traversal: This method looks at the elements level by level. It takes the same amount of time, $O(n)$, since it goes through the entire tree.

All of these methods show us how fast and efficient our operations can be when working with tree data structures.