OPIM 5603 Statistics in Business Analytics
Course Title: OPIM 5603 Statistics in Business Analytics
Type: Required course
Term/Time: Spring 2017 / Wednesdays 6:00 - 9:00 pm
Instructor: Manuel A. Nunez (or you can view his LinkedIn)
Teaching Assistant: No TA for this class.
Knowledge/Skills Gained: R, Statistics.
Overall Rating: 3.5 out of 5 stars
Summary: Regardless whether you have statistical knowledge or not, study hard for this course. Unlike most other subjects, this class has no project. The midterm and final exams account for 60% of the final grade.
========================================================================
This required course is added starting from spring 2017. In other words, students admitted in spring 2017 were the guinea pigs for this class. Feel free to take a look at the syllabus. Before the class starts, I recommend to make yourself familiar with R. There are many free online resources for people to learn R. An introductory level class is enough for this course.
Dr. Nunez is a very knowledgeable and nice professor; sometimes probably too nice. I still vividly remember during the first class when the students learned how to code in R, some students who hadn't had any R experience but knew other coding languages kept asking why they had to code in the R way. The professor tried to explain the R logics and common keywords. It took almost an hour for the professor to explain R to those few students. Honestly speaking, if I were the professor, I would tell those students to find free YouTube videos or other sources to learn R by themselves, so we wouldn't have wasted an hour in class. It obviously doesn't make sense to write SQL codes in R because R has its own coding logics that need to be followed. If you can use SQL codes in R, then R wouldn't be another separated language to learn.
In addition, we ran R in every class. Although sitting in front their laptop with R running, some students chose not to code by themselves when they felt there were different ways to solve a question. Instead, they asked the professor to code in their way in front of the entire class just to confirm whether they were right or not. The professor did, and the time was wasted. Why not trying by coding it yourself? When learning to code in a new language, we can't master a language by simply watching someone else coding it.
Statistics has never been easy for me, even though I had taken two graduate-level statistical courses, a total of 6 credits from my first master's degree. Accordingly, I recommend everyone study hard for this subject if you desire to earn an A for this class. In particular, the midterm and final exams account for 60% of your final grade. Please keep in mind that it's definitely better to submit your exams without completion before the deadline than to complete the exam but submit late. Students lost significant number of points as a penalty for late submission. It's very likely to gain more points if you submit the exam in time without completing every question.
In short, for this required statistics class, I recommend Dr. Nunez. However, if you want to learn more from this class, please make yourself familiar with R before the class starts, and overcome the learning curve via coding by yourself.
Type: Required course
Term/Time: Spring 2017 / Wednesdays 6:00 - 9:00 pm
Instructor: Manuel A. Nunez (or you can view his LinkedIn)
Teaching Assistant: No TA for this class.
Knowledge/Skills Gained: R, Statistics.
Overall Rating: 3.5 out of 5 stars
Summary: Regardless whether you have statistical knowledge or not, study hard for this course. Unlike most other subjects, this class has no project. The midterm and final exams account for 60% of the final grade.
========================================================================
This required course is added starting from spring 2017. In other words, students admitted in spring 2017 were the guinea pigs for this class. Feel free to take a look at the syllabus. Before the class starts, I recommend to make yourself familiar with R. There are many free online resources for people to learn R. An introductory level class is enough for this course.
Dr. Nunez is a very knowledgeable and nice professor; sometimes probably too nice. I still vividly remember during the first class when the students learned how to code in R, some students who hadn't had any R experience but knew other coding languages kept asking why they had to code in the R way. The professor tried to explain the R logics and common keywords. It took almost an hour for the professor to explain R to those few students. Honestly speaking, if I were the professor, I would tell those students to find free YouTube videos or other sources to learn R by themselves, so we wouldn't have wasted an hour in class. It obviously doesn't make sense to write SQL codes in R because R has its own coding logics that need to be followed. If you can use SQL codes in R, then R wouldn't be another separated language to learn.
In addition, we ran R in every class. Although sitting in front their laptop with R running, some students chose not to code by themselves when they felt there were different ways to solve a question. Instead, they asked the professor to code in their way in front of the entire class just to confirm whether they were right or not. The professor did, and the time was wasted. Why not trying by coding it yourself? When learning to code in a new language, we can't master a language by simply watching someone else coding it.
Statistics has never been easy for me, even though I had taken two graduate-level statistical courses, a total of 6 credits from my first master's degree. Accordingly, I recommend everyone study hard for this subject if you desire to earn an A for this class. In particular, the midterm and final exams account for 60% of your final grade. Please keep in mind that it's definitely better to submit your exams without completion before the deadline than to complete the exam but submit late. Students lost significant number of points as a penalty for late submission. It's very likely to gain more points if you submit the exam in time without completing every question.
In short, for this required statistics class, I recommend Dr. Nunez. However, if you want to learn more from this class, please make yourself familiar with R before the class starts, and overcome the learning curve via coding by yourself.
Comments
Post a Comment