Not too easy. Not too difficult.
Course Overview:
This is a mandatory course. if anyone is taking the course, i would recommend to take it under Avantisethi. He teaches with very enthusiasm. He clarifies everyone's doubts with patience.
Course highlights:
Statistics, Probability, Data analysis tab in excel
Hours per week:
0-2 hours
Advice for students:
Do not neglect this course. Though this course is easy, paying less attention would cost you grades.
Not too easy. Not too difficult.
Course Overview:
HIGHLY RECOMMEND! Take the course and pay attention to each lecture, take notes and attend TA lectures as well. This course will lay foundation for you future career prospects in data analytics.
Course highlights:
ANOVA, Regression, T/F/Z test, hypothesis testing, data analysis, data metrics.
Hours per week:
3-5 hours
Advice for students:
introductory statistics class but a since I had little idea about the concepts, has worked well for me.
Not too easy. Not too difficult.
Course Overview:
Because this is a must to do course if you are looking for data analytics track.
Course highlights:
Probability ,regression modelling, hypothesis negation are some of the main highlights of this course
Hours per week:
6-8 hours
Advice for students:
Practicing is the key to excellence in this course