Ref: Coursera - Deeplearning.ai Data Analytics Course.

Link to the course: Link.

ROUGH NOTES (!)
Updated: 29/4/26

DATA ANALYTICS

We will consider

DATA ANALYTICS FOUNDATIONS:

[Welcome to data analytics]

As the world has become more digital, a lot of ​activities now create data.

Eg: When you send an email, when you go to a website and click on ​some things and not on others, when you buy something, when you decide to watch one movie ​and not another, etc.

The world has lots of data. People who are able to look at ​the data and analyze it can make better decisions.

Eg: At Netflix, they are using data analytics to help inform the production, distribution, and promotion of content.

Data science is an investigative activity.

Q) Was there a time where you used data and it changed your mind about the decison you were going to make?

A from Sean Barnes:

He used to do research on hospital operations. He worked on predicting when patients would be discharged from the hospital, and one of the signals was whether the patient had a visit from a physical therapist. Oftentimes, that was actually a signal that the patient was not close to going home, so ​that was a really surprising result.
(Hospital beds are valuable resources, so you want to be able to send patients home so that you can make room.)

When a company faces a decision, if there’s someone around the table with access to data and they go and bring in the facts, in a few minutes you can get to deeper facts than was possible without data.