00:01
On this scenario, we're looking to identify the type of analysis that you are performing when you are analyzing historical credit card data to understand what a fraudulent transaction looks like.
00:14
Hint, there are four types of analytics include descriptive, diagnostic, predictive, and prescriptive.
00:25
So first one, looking here, descriptive analytics.
00:31
It's important to keep in mind descriptive analytics involve the summarizing of historical data to understand what happened.
00:39
So we're kind of looking at what happened over the period of time, looking at dates, looking at descriptions, and looking at amounts for those transactions.
00:54
Actions.
00:55
All right.
00:59
Diagnostic, we're continuing on.
01:03
Diagnostic analytics focuses on understanding why something happens.
01:08
All right...