Ref: Coursera - Google courses.

Link to Coursera - Google page: Link.

ROUGH NOTES (!)
Updated: 7/4/26

Google Data Analytics

Link to course pages: Link, Link, Link.

Q) What is Data analytics?

A) Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

We will consider

\[{ \boxed{\textbf{Foundations: Data, Data, Everywhere}} }\]

[Welcome]

Q) What is Data?

A) Data is a collection of facts. This collection can include numbers, pictures, videos, words, measurements, observations, ​and more.

Once you have data, analytics puts it to work through analysis.

Q) What is Data analysis?

A) Data analysis is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

We use and create data every day.

Eg: Read reviews of a product before deciding whether or not to buy it? ​That’s data analysis.

Anytime you use your phone, look up something online, stream music, shop with a credit card, ​post on social media, or use GPS to map a route, you’re creating data. ​Our digital world and the millions of smart devices inside of it have made the amount ​of data available truly mind-blowing. ​

Q) What does a Data analyst do?

A) A Data analyst is someone who collects, transforms, and organises data in order to help make informed decisions.

The Google Data Analytics certificate is split into courses based on different processes ​for data analysis:

• Ask
• Prepare
• Process
• Analyze
• Share
• Act

Some relevant industries for jobs:

• Finance
• Healthcare
• Communications
• Government
• Consumer products

[Data analytics in everyday life]