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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

4.4
estrelas
3,174 classificações
704 avaliações

Sobre o curso

Course Overview: https://youtu.be/JgFV5qzAYno 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

LH

23 de mar de 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.

GZ

25 de mar de 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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701 — 720 de 720 Avaliações para o Python and Statistics for Financial Analysis

por Wickson H

28 de fev de 2022

Too difficult to beginner

por Lubie W

9 de ago de 2020

This course teaches statistics more than Python coding. The codes are not well explained or even not explained by the instructor. The instructor spent more time on statistics concepts than going through the Python coding. I learned very little about Python in this course.

por Liem J L

15 de nov de 2019

Should be better explained. Could not get past the first few lines in the practical. Looked at the discussion board and people were saying it was because the course is outdated and the code he explained might not even work with the version we were using

por Anas A H H

16 de jun de 2021

1- t​he language spoken is not clear (I had t oread the subtitles more than listening which was a horrible experience)

2​- the labs are bot built in the right way, lots of errors and lots of data changes that effected the application of the commands

por Jack M

26 de abr de 2020

Horribly worded questions. Difficult to understand the lecturer. Week 1 was good to practice python. Week 2 was awful.

por Sean S

26 de nov de 2019

The code examples and quizzes have not been properly reviewed and there were multiple mistakes in them.

por Marshall T

26 de mai de 2020

codes are not updated to python 3. Also little opportunity to apply codes in IDLE/Anacdona yourself.

por Christeen P

12 de mar de 2021

Disorganized, and the quizzes are not testing abilities nor knowledge but just quantitative skills.

por Avnish A

26 de mar de 2020

very vague and non detailed explanations from week 2. almost impossible to catch up.

week 1 was good

por Pedro J G R

14 de out de 2021

Very complex explanations (even if you learnt statistic before) and then zero practice. A fake!

por Kwame N D

5 de jan de 2021

Very poor delivery by the instructor. Course title inappropriate for the content.

por Ohad s

2 de out de 2020

the instructor is not understandable and don't really explain the material

por Chavassieux

17 de set de 2021

A​ lot of formulas but it miss some example too generalist sometimes

por Boyan D

5 de nov de 2020

I regret starting this course. You should unlist it from coursera.

por tanish s

27 de abr de 2020

very bad course. dont take it . no indepth knowledge.

por Julián E

12 de set de 2021

The labs are not challenging

por Deependu G

20 de abr de 2021

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por Priyanshu C

29 de set de 2021

Very bad course

por Suman D

11 de nov de 2021

very bad

por Mohamed s

15 de mai de 2020

too bad