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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

2,642 évaluations
582 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

13 avr. 2021

Un curso con una perceptiva muy refrescante en cuanto a los conceptos técnico-estadísticos y sumamente prácticos. e incluso baratos, de implementar dentro del mundo de la inversión. Muy buen trabajo.

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.

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526 - 550 sur 586 Avis pour Python and Statistics for Financial Analysis

par Lisa W

16 mars 2020

It's not bad, but it's not great either. I guess it works as a good starting point for further research, but the content is pretty general.

par Mridul w

29 déc. 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.

par King Y C

8 févr. 2019

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

par Lui M C

17 mai 2020

A per-requsite of statistics is required. One should review the basics of statistics before taking the course. Pace is too fast.

par Sui W T

10 févr. 2019

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

par Christopher B

22 avr. 2020

Overall pretty good, somethings are pretty much just glossed over and you have to figure out yourself or just plain skip.

par Sam N

8 janv. 2020

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

par Wynona R N

18 août 2020

Good course! It will be better to put more challenging questions as a practice in the jupyter notebook.

par Arihant J

12 avr. 2020

The basics were not explained properly.

A lot of code was unexplained.

Forum doubts were not answered .

par Luke L

8 sept. 2019

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

par Prateek J

9 août 2020

More time should be devoted on python syntax used and more models and examples should be included

par Hugo L M

31 août 2020

It did deliver the content it was supposed to, but it could be done in a more slow-paced manner.

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 Kashyap R

25 juil. 2021

explanation can be better its some times difficult to understand for a fresher

par Shriya K

3 juin 2020

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


7 juil. 2020

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

par Akshara S K

10 mai 2021

For beginners this course would be difficult but I think it's worth learning

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.

par Roberto C

13 juin 2021

No aterriza es algo práctico que pueda utilizar para el análisis

par Enzo

6 mai 2021

It was pretty hard to understand concepts at the end


7 juil. 2020

No coding based assignments. Not too useful.

par Chaitanya G

28 avr. 2020

The videos could have been more explanatory.