Data Science is a field of study that combines subject-matter knowledge, programming skills, and expertise in math and statistics to bring forth essential insights from data. Data scientists use machine learning algorithms on various data types, including numbers, text, images, video, and audio, to create artificial intelligence (AI) systems that can perform tasks that often require human intelligence. To learn more about data science, join the Data Science Course in Chennai at FITA Academy.
Example of Data Science
Some of the different areas where the data science applications are given below
1)Law Enforcement:
In this hypothetical scenario, data science is used to help police officers better understand where and when to send troops to reduce crime. A police force stretched thin was able to maintain order and foresee criminal behaviour thanks to data science, which utilized dashboards and reports to improve the officers’ situational awareness.
2)Pandemic Fighting:
Despite wanting to reopen schools, the administration of an Island was justifiably hesitant in light of the ongoing COVID-19 pandemic. During the pandemic, the state looked to data science to speed up case investigations and contact tracing, which enabled a small team to manage a large volume of worried citizens’ calls. The state was able to set up a call centre and plan preventative steps thanks to this knowledge.
3)Driverless vehicles:
A sensor manufacturing business called Lunewave was looking for a way to enhance the accuracy and cost-effectiveness of sensor technology. They used data science and machine learning to train their sensors to be more reliable and safe and to improve the manufacturing of their 3D-printed sensors. Join the Data Science Online Course to learn more about driverless vehicle applications in data science.
4)Entertainment:
Data science allows streaming services to track and analyze customer watching behaviour, encouraging the production of new TV shows and movies. Data-driven algorithms are also used to generate customized recommendations based on a user’s viewing history.
5)Finance:
Banks and credit card companies mine and analyze the data to identify fraudulent activity, manage financial risk on loans and credit lines, and assess customer portfolios for upselling potential.
6)Manufacturing:
Supply chain management, distribution optimization, and predictive maintenance are all examples of data science applications in the manufacturing industry. Predictive maintenance identifies possible equipment faults in facilities before they arise.
Conclusion:
I hope you have gained some insight into data science and its example. It is an exciting subject with a wide range of applications in day-to-day life. Join the Data Science Courses in Bangalore to learn more about data science.