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Voltar para Python and Statistics for Financial Analysis

Comentários e feedback de alunos de Python and Statistics for Financial Analysis da instituição Universidade de Ciência e Tecnologia de Hong Kong

3,256 classificações

Sobre o curso

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....

Melhores avaliações


13 de abr de 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.


3 de ago de 2019

Great course! Very didatic explanations about financial and statistical concepts also with some interesting practical Python for Finance! Looking forward for new courses from same Univ. and prof.!

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676 — 700 de 740 Avaliações para o Python and Statistics for Financial Analysis

por Prateek J

9 de ago de 2020

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

por Hugo L M

31 de ago de 2020

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

por Arnaud S

20 de ago de 2020

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

por Shine A

10 de set de 2020

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

por Kashyap R

25 de jul de 2021

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

por Shriya K

3 de jun de 2020

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


7 de jul de 2020

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

por Akshara S K

10 de mai de 2021

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

por Mehul V

11 de mar de 2019

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


6 de mai de 2020

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

por Jacob R

28 de jun de 2020

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

por Roberto C

13 de jun de 2021

No aterriza es algo práctico que pueda utilizar para el análisis

por Enzo

6 de mai de 2021

It was pretty hard to understand concepts at the end

por John K

2 de jan de 2022

Course is more about statistics than python.


7 de jul de 2020

No coding based assignments. Not too useful.

por Chaitanya G

28 de abr de 2020

The videos could have been more explanatory.

por Fernando D

2 de abr de 2020

Es un curso para interesados en trading

por sachin t j

16 de nov de 2020

Python codes are not really explained.


27 de jul de 2020

its a good learning experience for me

por dhruvi

26 de set de 2020

the content is amazing but outdated

por DAWN M 1

13 de abr de 2020

It was a bit hard to follow

por MOHD H

5 de dez de 2020



9 de mai de 2022


por Tuấn M V

28 de jun de 2022

The knowledge side, it is very good and relevant to finance.

But the tech and coding side which is the main thing i'm looking forward, is very bad. The instruction is not step by step and not clear in application. I don't even know where the files are and so i cannot import in the jupyter notebook.

The courese, first, need to tell learners the over view of python that learners need python installed as a programming language and a separate IDE like a notebook to code on, such as visual studio code, or jupyter notebook, because coding is not like using MS offfice, just install and go.

Third, the syntax taught is very bad and outdated. At the import phase, I cannot even use the syntax of "Data frame.from csv" in python 3.10. Assume that it can be run in the environment of cousera, how can I use python in the working environment if you taught me such outdated syntax.

por Volodymyr M

19 de mai de 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.