Role of statistics in data science.

Short summary

Statistics is the mathematical foundation of data science, enabling practitioners to collect, analyze, and interpret data to extract insights. Core techniques include descriptive statistics, probability theory, inferential statistics, hypothesis testing, correlation and regression analysis, and predictive modeling. These methods are essential across industries for risk assessment, forecasting, and informed decision-making.

• •Statistics provides the mathematical framework for data science
• •Key techniques include descriptive, inferential statistics, hypothesis testing, and predictive modeling
• •Applications span risk assessment, forecasting, and data-driven decision making

Generated with AI, which can make mistakes.