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Avis et commentaires pour d'étudiants pour Python and Statistics for Financial Analysis par Université des sciences et technologies de Hong Kong

2,318 évaluations
519 avis

À propos du cours

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....

Meilleurs avis

23 mars 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.

25 mars 2020

Very clear explaining of the significant aspects when structuring a financial analysis, applicable in many forms of data if you don't want to make predictions only for the stock market.

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476 - 500 sur 515 Avis pour Python and Statistics for Financial Analysis

par Arnaud S

20 août 2020

Interesting but it is too fast on more difficult topics (specially the last week).

par Shine A

10 sept. 2020

Great course as a Basic for Data Analysis. Not very in depth analysis of finance.

par Shriya K

3 juin 2020

went too fast sometimes. basics were not made clear the course matrial is good

par Anushka G

7 juil. 2020

Some of the material of the course needs to be updated including the quizzes.

par Mehul V

11 mars 2019

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


6 mai 2020

More explanation were required on the codes, being a beginner level course.

par Jacob R

28 juin 2020

Pretty solid course, kind of difficult to grasp at times to a newcomer.


7 juil. 2020

No coding based assignments. Not too useful.

par Chaitanya G

28 avr. 2020

The videos could have been more explanatory.

par Fernando D

2 avr. 2020

Es un curso para interesados en trading

par sachin t j

16 nov. 2020

Python codes are not really explained.

par Hriju S

27 juil. 2020

its a good learning experience for me

par dhruvi

26 sept. 2020

the content is amazing but outdated

par Dawn M

13 avr. 2020

It was a bit hard to follow

par MOHD H

5 déc. 2020


par Chutian Z

10 févr. 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。

par Volodymyr M

19 mai 2020

I really cannot recommend this course. Course tries to touch two major topics: Financial Risk Management and Statistics. In both disciplines course is only scratching surface of the subject without going into any details. Just for quantitive estimation, FRM is 100+ hours of material, Statistics - another 200+ hours. Whole course contains definitely less than 4 hours of lectures.

On the other hand - course is some sort of source of topics you need to find yourself over Internet and learn yourself.

par Colin

1 févr. 2021

I have a PhD in econometrics - took this course to see if it would be useful to some of my team - gleans over complex issues way to fast but given the length that is understandable - my issues with this course are (a) the Jupiter notebooks are complete already so don't make students think and (b) there should be a great deal of included warnings with references for students to dig deeper outside of the class

par Daniel

3 juil. 2020

Part of the code doesn't work. To fix it it is needed to go to Python documentation and do research

A lot of statistics concept are not quite well explained. The course should include more detailed explanations or at lease some links where the this information can be studied

The results of the trading system implemented in the curse are not the one that you will obtain

par Nico M

25 nov. 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.

par Victor M

6 nov. 2019

I was hoping for a little more from this course. While it effectively combines statistics, finance and python, it does not go into great detail in any of the three. There are spelling mistakes and the audio quality is not great. For me the most useful part was learning the python functions and syntax.

par Lale N

28 mai 2020

i am happy with subject and course syllabus but if the data that the lecturer worked on them, was available the course would be much more useful,

without the data, it was just some code that we were watching.

thank you coursera :)

par Nicolas P

1 sept. 2019

I would change the title. It has little practical content on trade, and explains more statistical methods.I would call it "how to use and graph statistics in python, with some trade samples".

par Mohini J

21 mars 2020

The course tried to cover a lot but wasn't really helpful for those who didn't have basic knowledge of either Python or Statistics

par Panguluri B T

10 juil. 2020

Poor Explanation of topics, was in a very hurry to complete than in explaining the concepts in depth. Did not reach expectations.