Not too easy. Not too difficult.
Course Overview:
I would really recommend students to select this course if the students are good in mathematics,but now question arise why to choose statistics over mathematics,that is because Statistics focus mainly on its Applied part which means more of practical usage in most of the private or government sectors but mathematics is limit us to research work,teaching it includes so much of theorems and concepts to remember which sometimes become mess and we generally forget concepts if we really are average intelligence level student and if you opt statistics you can go for any corporate sectors like-Banks,health care,insurance,e-commerce,research work,teaching,telecom and many more.IT fulfills the requirement of 21st centuary demands.
Course highlights:
Prediction,risk analysis,fraud analysis,goal programming priority wise,weather forecasting, handling millions of data using some great software-SAS ,R ,HADOOP ,PYTHON etc.,which is not possible on Ms excel and other softwares.
Hours per week:
6-8 hours
Advice for students:
I would suggest students to go for course Big data(including more of statistics ),Data analytics after getting degree in statistics.