50个数据科学应用领域|数据科学

数据就是资源，如何利用此资源创造商业价值，大家共同研究和实践的问题。数据科学专注于从数据中学习那些有商业价值的东西并加以利用，玩数据的人角色多样，有数据分析师、数据挖掘师、数据开发师、数据科学家、数据产品经理等。50个数据科学应用领域，感受数据科学在各行各业所发挥的巨大作用和价值。

Data science is being the hottest/sexist course in 2015 and in 2016, it is expected to be very high compared to other online courses. Why data science is important and everyone interested in taking data science course to become Data Scientist. We know data analysis never loose its scope like that data scientist will have more scope in future due to increase in data size (big data).

Applications and uses of data sciences are from health care to business to retail. Many big industries are started to use data science.

Here is the list of fields where data science applications and its operations are used. This will give you overview on development of data science in that field, career path, etc.

50 Industry area of data science – Where data science are used?

1. Data science in finance
2. Data science in healthcare
3. Internet Search
4. Digital Advertisements
5. Recommender Systems (Recommendation system)
6. Speech Recognition
7. Gaming
8. Biotech and Bioinformatics
9. Insurance
10. Energy Exploration
11. Cloud Computing
12. Machine Learning and AI (Artificial Intelligence)
13. Price Comparison Websites
14. Hospitality
15. Airline Route Planning
16. Computer Graphics
17. Fraud and Risk Detection
18. Delivery logistics
19. Government
20. Manufacturing
21. Pharmaceutical
22. Retail
23. Telecom
24. Computational Structural Mechanics
25. Computational Physics
26. Databases, Data Mining, Business Intelligence
27. Algorithms and Numerical Techniques
28. Travel and transportation
29. Computational Fluid Dynamics
30. Audio, Image and Video Processing
31. Digital Content Creation and Film
32. General Interest
33. Life Sciences
34. Medical Imaging and Visualization
35. Super-computing
36. Machine Vision
37. Climate, Weather, Ocean Modeling
38. Application Design and Porting Techniques
39. Cluster Management
40. Quantum Chemistry
41. Parallel Programming Languages and Compilers
42. Mobile Applications and Interfaces
43. Astronomy and Astrophysics
44. Neuroscience
45. Stereoscopic 3D
46. Visualization
47. Computational Photography
48. Molecular Dynamics
49. Ray Tracing
50. Electrical Design and Analysis

I hope you got the overview on what is data science used for and what does a data scientist do in different industries.

If i missed any industry area or found any mistakes kindly comment below.

原文链接：http://www.dataanalyticsnews.com/50-data-scie-applications/