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Data Mining is intimately intertwined with Statistics. Knowledge of basic statistics is essential for a successful analyst. Many ‘Small data’ techniques such as correlation, testing of hypothesis, data-transformation and others need to be learnt to fully understand data. Concepts of inferential statistics are used in comparing machine learning models. Descriptive statistics is invariably used in data pre-processing. In this Course we refresh as also learn statistical fundamentals and essential inferential statistics.

Course Objectives:

  • To develop statistical thinking in students.
  • To provide exposure of statistical ideas and methods to students.
  • To equip the students with tools and techniques for real life applications
  • And, To acquaint students with skills in structuring and analyzing business problems statistically.

  



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