WEBVTT

00:00.000 --> 00:07.000
Introduction to data analytics

00:07.000 --> 00:10.000
In this video, we will understand

00:10.000 --> 00:13.000
what data analytics means

00:13.000 --> 00:16.000
Know why data analytics is important

00:16.000 --> 00:23.000
Recognize where data analytics is used and its basic steps

00:23.000 --> 00:27.000
What is data analytics?

00:27.000 --> 00:30.000
Data analytics means collecting and studying information

00:30.000 --> 00:33.000
to find patterns and make better decisions

00:33.000 --> 00:36.000
For example, a video app can suggest movies

00:36.000 --> 00:41.000
or a music app can create playlists by analyzing your past choices

00:41.000 --> 00:43.000
It's different from data science

00:43.000 --> 00:46.000
which is a broader field and data mining

00:46.000 --> 00:49.000
which discovers hidden patterns in big data sets

00:49.000 --> 00:56.000
In short, analytics turns raw data into useful insights

00:56.000 --> 01:01.000
Why is data analytics important?

01:01.000 --> 01:05.000
Organizations use data analytics to make informed decisions

01:05.000 --> 01:08.000
It helps improve efficiency, reduce costs

01:08.000 --> 01:11.000
and give customers a better experience

01:11.000 --> 01:17.000
For example, ride sharing apps use analytics to reduce wait times

01:17.000 --> 01:20.000
Airlines adjust prices based on demand

01:20.000 --> 01:24.000
and online stores personalize recommendations

01:24.000 --> 01:31.000
In today's world, analytics provides a strong competitive advantage

01:31.000 --> 01:35.000
Where is data analytics used?

01:35.000 --> 01:39.000
Data analytics is applied in almost every field

01:39.000 --> 01:44.000
In business and finance, it detects fraud and supports smart investments

01:44.000 --> 01:47.000
In healthcare, it improves patient care

01:47.000 --> 01:52.000
In retail, it studies customer behavior to boost sales and cut waste

01:53.000 --> 01:56.000
In sports, it tracks player performance

01:56.000 --> 01:59.000
and governments use analytics to plan resources

01:59.000 --> 02:03.000
and improve public services

02:03.000 --> 02:07.000
The data analysis process

02:07.000 --> 02:10.000
Data analysis follows clear steps

02:10.000 --> 02:12.000
First, define the problem

02:12.000 --> 02:14.000
Then, collect and clean the data

02:14.000 --> 02:17.000
Next, explore and look for patterns

02:17.000 --> 02:20.000
After that, visualize and interpret the results

02:20.000 --> 02:24.000
Finally, make decisions and improve as new data appears

02:24.000 --> 02:29.000
It's a continuous cycle because data keeps changing

02:29.000 --> 02:34.000
Data analytics helps us find patterns in information and make better decisions

02:34.000 --> 02:41.000
It is important in many fields and follows clear steps to turn data into useful insights