Kursteilnehmer-Bewertung und -Feedback für Python and Statistics for Financial Analysis von The Hong Kong University of Science and Technology
Über den Kurs
Top-Bewertungen
LH
Mar 24, 2020
A very good introduction course to python programming and it has a perfect combination with statistics, which makes financial analysis more interesting and refresh my mind on it, thanks.
TT
Apr 23, 2020
Generally, the course offer many approach with financial data but not very easy to understand for beginner such as myself. I hope there will be more course like this in the future !!!
151 - 175 von 324 Bewertungen für Python and Statistics for Financial Analysis
von Brian P
•Jun 03, 2020
Power of knowledge
von SHARIQUE A K
•May 20, 2020
AWESOME EXPERIENCE
von Feiting X
•Feb 27, 2019
Nice Introduction!
von Santiago L C
•Jan 30, 2019
I enjoy very much
von Jonathan M
•Jun 28, 2020
very informative
von Artem C
•Feb 23, 2020
Great course !
von ARAVINDH D
•May 26, 2020
Thank you sir
von Bhavya S
•Jan 27, 2020
whatta wow :D
von 裴品傑
•Jun 05, 2019
很不錯，但最後的回歸有點難
von Tsoi K M E
•Jun 15, 2020
Great course
von Heiner A M V
•Apr 29, 2020
Very usseful
von Henrique G
•Sep 24, 2019
It's great!
von Ruikun D
•Jan 29, 2019
very
useful
von Md K I
•Jul 04, 2020
Awesome!!
von Joydeep p
•May 08, 2020
Very good
von PRINCY X
•May 24, 2020
NICE ONE
von Kleber L d S
•Jun 20, 2020
Ótimo.
von John W
•Oct 09, 2019
great
von Zhu, T
•Jun 07, 2020
good
von Xiaobing C
•Dec 22, 2019
good
von Claudio H
•Apr 21, 2020
A fine introduction to the use of statistical models for finance (stock trading), showing its implementation in Python. It is NOT a course in either Python or Statistics but shows what one should learn. Alas, it does not give any pointers as to where to go to delve deeper into the needed statistics (nor trading, for that matter). It contains a fair summary explanation of linear regression models, but the recipes for their evaluation are discussed way too briefly.As for Python, it uses 4 common important libraries and directs the student to the corresponding sites. It gives no explanations as to the kind of structures being manipulated. The Jupyter notebooks are well set-up for practice.
von Kushagra S
•May 22, 2020
The course provides an overview of how to build a quantitative trading model. However, the instructor does not go into details while either introducing python functions to someone unfamiliar with the language or talking about statistical concepts. I could follow the code based on my background in other programming languages.I will be following up this course with other courses that go in depth on both the programming and statistics front.The Jupyter notebooks are quite helpful and I will be using them for future reference.3.5 would probably be a more honest rating of the course but I don't think the course could have taught the learner more given its length.
von Matthias H
•May 14, 2020
Good for what it intends to provide, namely a quick introduction to the topic, but it doesn't go very deep.
It is slightly annoying that there are plenty of typos and grammatical mistakes all over the Python code and the quizzes, which could easily have been avoided if either the author had somebody proofread everything quickly, or if Coursera had any type of quality control.
Nevertheless, coming from another programming language, I did get out of this course what I wanted, namely a collection of all the basic Python commands for this kind of analysis. So thank you for providing this course!
