Data Science
Formal
Data science utilizes data preparation, statistics, predictive modeling, and machine learning to investigate problems in various domains such as agriculture, marketing optimization, fraud detection, risk management, marketing analytics, public policy, etc.
Practical
Data science utilizes data preparation, statistics, predictive modeling and machine learning to investigate problems in various domains such as agriculture, marketing optimization, fraud detection, risk management, marketing analytics, public policy, etc. It emphasizes the use of general methods such as machine learning that apply without changes to multiple domains. This approach differs from traditional statistics with its emphasis on domain-specific knowledge and solutions.
