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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

2,802 évaluations
620 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 630 Avis pour Python and Statistics for Financial Analysis

par Zahra K

17 mai 2020

It is very promising and a good start for financial analysis base on statistics

par Jingyi Z

12 mai 2020

python part is very practical but statistics are quite difficult to understand.

par William M

21 déc. 2020

Great content but several misspellings (even some answers) and unclear english

par Pedro A M R

11 juin 2020

Good course!

It could be better if it goes deeper into the financial concepts.

par Varun R

29 mars 2020

A tad bit more explanation per topic would make this course really enjoyable.

par An T H B

17 juil. 2021

You should have a basic knowledge about statistic for understanding the code

par Emiliano Z

18 mai 2020

Good introduction to Python. Previous basic statistics knowledge required.

par Moiz S

21 mai 2020

Excellent course for students who are interested in stocks and statistics

par Shu Y

19 sept. 2019

some of the concepts and their meaning should be explained more detailed.

par Andrea B

2 août 2019

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

par Lihe L

6 févr. 2020

Clear and good for people without statistics and programming background.

par M R M

22 sept. 2019

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

par Dipesh S

11 janv. 2021

A good course to get you started in Financial Analytics. Go for it.

par Aakash 5

18 août 2020

Exceptionally good and great to be part of such knowledgeable study

par Atsushi H

12 juil. 2020

I expect that this lesson will follow multi-lingual up from now on.

par Renata R M

8 juil. 2020

Si buscas un curso de introducción rápido, este esta bastante bien.

par rodrigo c

18 août 2021

Great introduction of statistics for financial analysis in Python

par Janak K L

31 août 2020

Good content but no one to answer questions in discussion forum.

par GuoFu

26 janv. 2020

A very useful course for python and statics financial analysis!


28 mai 2020

HI, This course is amazing but i need more practice in it.


17 janv. 2021

It will be better, if we can have pdf or powerpoint file.

par Edoardo R

6 févr. 2019

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

par Le D H T

1 janv. 2021

pretty good. But the voice of guilder is hard to listen.

par Hamidreza s

4 juin 2020

Course was useful but English level was not very good

par Indranil R

22 déc. 2020

Too fast-paced. Need more explanation on each topic.