学生对 University of Pennsylvania 提供的 Fundamentals of Quantitative Modeling 的评价和反馈
课程概述
热门审阅
DP
Nov 8, 2021
excellent course teaches you basics in an easy to learn manner. Lots of good information for someone looking to transition into the world of financial analytics or as a refresher of basic concepts.
NC
Jul 30, 2019
Very nice course for beginner, the mathematic level is not high (around french baccalaureat) so available to everyone. I enjoyed a lot this course that show how simple math can be used in real life.
1551 - Fundamentals of Quantitative Modeling 的 1575 个评论(共 1,737 个)
创建者 樊荣
•May 4, 2019
Too elementary
创建者 Sphelele
•Mar 10, 2019
a great course
创建者 Charles b
•Jul 11, 2016
GREAT MATERIAL
创建者 Nisheeth N
•Dec 25, 2019
Great Course!
创建者 Sajjad H S
•Jun 24, 2020
Good course.
创建者 Divyam A
•Apr 12, 2020
Basic Course
创建者 Hongbo Q
•Jul 11, 2018
有一点简单,很基础的课程
创建者 Shivani J
•Dec 4, 2016
great course
创建者 nicholas m
•Oct 11, 2016
Great course
创建者 Deleted A
•May 28, 2019
really good
创建者 Alex B
•May 25, 2016
Good review
创建者 Narek
•Mar 20, 2016
Good course
创建者 Daniel P d R E
•Jul 16, 2020
Too simple
创建者 Quantum P
•Nov 2, 2019
Too simple
创建者 Sagar A
•Apr 26, 2018
too simple
创建者 Ishan A
•Sep 11, 2018
excellent
创建者 Wenwen B
•Apr 28, 2020
Not bad
创建者 Luis E H A
•Mar 9, 2017
Great
创建者 Sylvia S
•Sep 18, 2020
good
创建者 Shrenik V Z
•Jan 8, 2018
Good
创建者 Nikita R
•Oct 29, 2021
NA
创建者 pravar n
•Jul 17, 2022
.
创建者 mahee r
•Aug 27, 2017
V
创建者 Lindaa g
•Jul 24, 2017
g
创建者 John C
•Apr 30, 2018
I liked Professor Waterman; he is clear, gives examples, and doesn't just drone over the slides like my statistics professor did in college. However, the course itself felt a little too simplified. For example, when I arrived at the topic of multiple regression, concepts like collinearity and omitted variable bias, which are crucial to understand the fitness of your model, were not mentioned. This was a bit concerning because most business operations, I would assume, have multiple variables in play and would seem more practical to have a more in-depth focus on models reflecting that characteristic.