Data Science is a multidisciplinary field that combines principles of maths, statistics, algorithms and computer systems to extract knowledge and insights from data. It involves collecting data , analysing them and interpreting those data to find hidden trends and patterns. These trends and patterns can be used to make decisions and predictions about the business from which the data was taken.
Data Science involves the following steps :
- Data Collection – In this step gathering of raw data is done from various sources such as databases or user interactions.
- Data Cleaning – This step ensures data is accurate , complete and ready for analysis.
- Data Analysis – Statistical methods and other calculations are done to identify patterns and trends.
- Data Visualization – Based on the calculations done charts , graphs ,dashboards are created to present findings clearly.
- Decision Making – Based on step 3 and step 4 , decisions are taken for solutions and predict outcomes.
Features of Data Science
- Applications of Data Science helps business take decisions by analysing data. It helps in understanding trends and make choices reducing risk and maximizing profit.
- Businesses use data science in those areas where they can save time and resources and improve efficiency.
- Data Science help predict upcoming trends , demands and patterns.
- Data Science help in personalizing experiences by creating customized recommendations that improve customer satisfaction.