The study of collection, organization, analysis, interpretation, and presentation of numerical data is termed the study of statistics. A study that is the branch of applied mathematics and its application.In this subject, topics such as, data analysis, calculus, linear models, applied statistics, linear algebra, and probability theory are covered.

A solid grasp of probability forms the bedrock of statistical reasoning, beginning with foundational concepts such as random variables, probability distributions, expected values, and variance. This knowledge provides the framework for drawing meaningful conclusions from data, employing techniques like hypothesis testing, confidence intervals, and principles of estimation to infer insights and make informed decisions.

Additionally, students explore various sampling methods crucial for obtaining representative data from populations, including simple random sampling, stratified sampling based on specific criteria, and cluster sampling for geographically dispersed groups. Together, these concepts and methodologies equip individuals with the analytical tools needed to navigate and contribute to fields ranging from scientific research to business analytics with rigor and precision.

Career scope

• Statistician
• Data Analyst
• Research Analyst
• Consultant
• Biostatistician
• Lecturer
• Assistant Professor
• Risk Analyst
• Research Scientist