Examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories.
We explore and present large amounts of data to discover underlying patterns and trends.
Statistics are applied every day – in research, industry and government – to become more scientific
about decisions that need to be made.
We use traditional methods for statistical analysis – from sampling data to interpreting results. Data volumes make statistics ever more valuable and powerful. Affordable storage, powerful computers and advanced algorithms have all led to an increased use of computational statistics.
Whether you are working with large data volumes or running multiple permutations of your calculations, statistical computing has become essential for today’s statistician. We have popular statistical computing algorithms
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