Data Science can be simplified in definition as a broad term for methodologies of collecting, processing, visualizing data and making use of information for various purposes. It is Multi-disciplinary and cover a wide range of interest areas.
Also known as a uniform concept of statistics, data analysis, machine learning and other methods to analyze, understand and predict data outcomes. It has immensely influenced businesses, economics, governments, finance, academics and medical researches. Most often it is used interchangeably with concepts such as predictive modelling, statistics, big-data, business analytics and business intelligence.
Applications of Data Science
Data science has played a major role in these categories:
- Big-data analytics
- Robotics engineering
- Healthcare data for predictive analysis
- Search engine result refining
- Smarter sales
- Image recognition
- Speech recognition
- Airline flight planning
- Fraud and risk detection
- Business logistics
- Driver-less cars
- Business analytics
- Predicting Weather forecasts
- Virtual assistant for patients and customer support Business logistics
- Gaming
- Research data
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