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Statistical analysis means investigating trends, patterns, and relationships using quantitative data. It is an important research tool used by scientists, governments, businesses, and other organizations.
The Applied Statistics with Computingprogramme is aimed at: Producing graduates who are well grounded in the fundamentals of Mathematics /Applied Statistics and acquisition of the necessary skills in order to use their knowledge in a wide range of practical applications.
Major computing disciplines include computer engineering, computer science, cybersecurity, data science, information systems, information technology, and software engineering. The term computing is also synonymous with counting and calculating.
Statistical computing lies at the intersection between mathematical statistics and computer science. It is also known as computational statistics. Like traditional statistics, it exists to transform raw data into knowledge or insight.
Computational statistics, or statistical computing, is the study which is the intersection of statistics and computer science, and refers to the statistical methods that are enabled by using computational methods.

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The intersection of statistics and computer science presents exciting opportunities for innovation and discovery. By leveraging the power of information technology, experts can enhance data collection and management, analyze big data more effectively, and revolutionize statistical education.
Computers make it easy to calculate statistical information. Vast amounts of data are collected, and understanding it requires statistical knowledge. Technology has made our lives simpler in many ways.
Statistics is the discipline that deals with data, facts and figures with which meaningful information is inferred. Data may represent a numerical value, in form of quantitative data, or a label, as with qualitative data.

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