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Opiniones y comentarios de aprendices correspondientes a Python and Statistics for Financial Analysis por parte de Universidad Científica y Tecnológica de Hong Kong

640 calificaciones
132 revisiones

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Course Overview: Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data. By the end of the course, you can achieve the following using python: - Import, pre-process, save and visualize financial data into pandas Dataframe - Manipulate the existing financial data by generating new variables using multiple columns - Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts - Build a trading model using multiple linear regression model - Evaluate the performance of the trading model using different investment indicators Jupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications....

Principales revisiones


Jul 05, 2019

The videos in this course are exceptional and very interesting. The Jupyter notebooks provide a good template for applying the methods and techniques.


Dec 14, 2019

Great Course. I didn't have a prior background in python programming but this course made it very comfortable. Highly recommend taking this course

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101 - 125 de 131 revisiones para Python and Statistics for Financial Analysis

por Andrea B

Aug 02, 2019

A good course to start learning Python with a focus on trading strategies

por Lihe L

Feb 06, 2020

Clear and good for people without statistics and programming background.

por Mekhala R S M R

Sep 22, 2019

Great course. Probably one of the simplest and easiest to understand.

por GuoFu

Jan 26, 2020

A very useful course for python and statics financial analysis!

por Edoardo R

Feb 06, 2019

Good as an introductory course, does not go more in depth

por Krit K S

Oct 02, 2019

A great introductory course to Python and Statistics

por Ahmad M

Jan 31, 2019

i have learned alot

por Aria Z

Apr 23, 2019


(1) h

por Karel H

Jan 12, 2020


por Timothy E T

Nov 03, 2019

Xuhu made a commendable effort in the early part of the class in teaching the basics of this course. Over the last 2 weeks of content however, significant external reading is required for students to do independently from the course content (not a bad thing) but know that extra effort is required to pass the later stages. For the most part, you should have the basics of python prior to taking this course or you will struggle midway. Nonetheless, it was definitely a commendable effort from this course.

por Andrew C

Oct 16, 2019

I wish the concepts in this course were gone into more in depth. They aren't necessarily difficult but they can get complex and when the instructor spends an accumulation of 30 or less per module it is hard to fully understand. More practice is needed as well. All the code was done for you except for just a few lines. People who learn by application will not gain much from this course.

por Đan T L

Jul 04, 2019

Interesting and easy to understand for people with basic background or have basic knowledge about finance or statistic. However, I wish some of the videos may have explained more about how to use the data to solve real life issues. Even though some of the practices may explore it, it appears not deep enough for me

por YI L

Oct 13, 2019

Videos are not really connected to the practice. Some finance and statistic stuff is simply mentioned and directly used without enough explanation. I finished the course with help from Google.

por Abhay N

Dec 15, 2019

This course is good for someone familiar with the concepts of statistics and linear regression. However, for a complete beginner, it's a little difficult to understand everything taught here.

por Anand S

Sep 07, 2019

This is a course more for statistics than python. All we understand is how to use the Python libraries and their functions to compute statistical data.

90% Statistics

10% Python.

por Ketan V

Jan 11, 2020

The video tutorial could have been better, however the notebooks and quiz were perfectly prepared and were instrumental in verifying our understanding of concepts.

por Mridul w

Dec 29, 2019

Overall a great experience but was not having a finance background so using these stock market terms for the first time was a challenge.

por King Y C

Feb 08, 2019

The course is somehow overlapped with the course ISOM2500.Moreover,i do not think that I have really learned a lot regarding Python.

por Sui W T

Feb 10, 2019

It's a bit difficult for students who have no either coding or statistic background to understand the content of the course.

por Sam N

Jan 08, 2020

Do not recommend. Try other courses that specify on the individual topics rather than skimming over all 3 !

por Luke L

Sep 08, 2019

Lots of info to learn. Does not challenge you to actually write the code, which is a big drawback.

por Mehul V

Mar 11, 2019

Many things were left unexplained. A step by step procedure wasn't followed.

por Chutian Z

Feb 10, 2020

The topics are interesting and some basic statistics/finance knowledge are required for the learner. The cons of this course is there are no coding practices or homework. The Jupyter Notebook included after each lesson basically asks you to copy and paste the syntax provided. The student's knowledge base is evaluated only through simple quizzes, which I found absolutely insufficient. Only when the hands get dirty can a student actually master the coding skills. I won't recommend this course.

需要一些基本的统计学和金融知识,但没有作业自己不用输代码,coding skill得不到训练,不推荐。

por Nico M

Nov 25, 2019

Too many mistakes in the use of English throughout the course made it hard for me to follow the course properly without getting annoyed. The instructor's English was terrible as well, just too many mistakes, which made it impossible to follow without subtitles. The content was good though which is why it deserves two points.