Useful Data Science Applications You Should Know | iCert Global

The Data Science role has expanded over time. Now, as computers are quicker and storage is affordable, we can come up with predictions in minutes—something that would take hours! Data Scientists earn about $124,000 a year because there aren't enough the role of skilled individuals in this domain. That's why Data Science with Python is in demand more than ever.

1. Fraud and Risk Detection

One of the first uses of Data Science was in finance. Banks were tired of losing money on poor quality loans. Banks had lots of data on people who had applied for loans but didn't have any idea what to do with it. So, they hired data scientists to help.

2. Healthcare

Data Science is of immense application in the health sector.

Medical Image Analysis

Physicians apply data science in assessing medical images and determining issues, including tumors or clogged arteries. One of the tools that they use is MapReduce to structure images and determine the best means of determining health issues, including searching for diseases in lung scans.

3. Genetics and Genomics

Data Science assists scientists in developing more tailored treatments according to genetics. The aim is to know how our DNA affects our health and how we react to various medications. Data scientists can integrate DNA information with other health information using data science, and that helps them learn more about the nature of diseases and how individuals react to treatment.

4. Drug Development

It is extremely challenging and time-consuming to come up with new medicines—about 12 years! It is extremely expensive and involves a lot of testing. But data science and machine learning make it simple and fast.

5. Patient and Customer Service Online Support

Sometimes, patients won't need to visit the doctor at all. There are mobile apps powered by AI that can treat you at home. The apps are like chatbots—you input your symptoms or questions, and the app provides you with advice based on a massive database of medical information. The apps will actually remind you to take your medicine and schedule doctor's appointments for you if necessary.

6. Internet Search

When one hears Data Science, the first thing that comes to mind is searching on the internet.

We generally think about Google, but there are certain other search engines such as Yahoo, Bing, Ask, and AOL. All these search engines employ data science techniques to provide you with the best possible responses immediately for whatever you are looking for.

7. Targeted Advertising

If you believe that computer searching on the internet is the greatest application of data science, reconsider! Digital marketing is a huge industry. From the commercials you see on websites to the electronic billboards at airports, data science algorithms determine what commercials to display. This enables companies to reach the right individuals at the right time.

8. Recommended Websites

We all receive recommendations for other similar products from sites such as Amazon, don't we? These recommendations enable you to find products that interest you out of billions of options. They also simplify shopping and make it more pleasurable.

9. Advanced Image Recognition

If you upload a photo of friends on Facebook, it will tag them automatically. This is because of a special feature called face recognition. Facebook is constantly enhancing this feature to recognize faces more quickly and more accurately.

10. Speech Recognition

Some of the best speech recognition software are Google Voice, Siri, and Cortana. All these help you to translate your words into text. This means that even if you cannot type, you can still send messages using your voice alone. But sometimes these software do not understand everything properly.

11. Planning Airline Routes

The airline industry is not a cakewalk. Numerous airlines operate in the red since they have no passengers or make too little. It is even tougher with high fuel costs and huge discounts. Airlines apply data science to more efficiently route flights and save.

12. Gaming

Games now employ intelligent computer programs referred to as machine learning algorithms. They learn as you move along and advance to higher levels. The computer in action games watches how you play and readjusts its moves to test your capabilities. Large game corporations such as EA Sports, Sony, and Nintendo apply data science to design games to be more enjoyable and interactive.

13. Augmented Reality

Augmented reality (AR) is an excellent application of data science in the future. It overlays computer images over the real world to make enjoyable experiences. For instance, the Pokémon GO game allows you to view Pokémon on walls or roads through your phone, yet they do not exist. AR employs data and intelligent technology to make it possible.

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Conclusion

Data science is changing the world in various interesting ways, such as in medicine and gaming. There are more career opportunities in this area as these technologies advance. Studying data science skills through courses like iCert Global's can open up numerous doors and enable you to succeed in today's technology world.

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