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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

4.4
étoiles
2,876 évaluations
633 avis

À propos du cours

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....

Meilleurs avis

SL
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.

EJ
3 août 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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626 - 643 sur 643 Avis pour Python and Statistics for Financial Analysis

par Liem J L

15 nov. 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 Looked at the discussion board and people were saying it was because the course is outdated and the code he explained might not even work with the version we were using

par Anas A H H

16 juin 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

par Jack M

26 avr. 2020

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

par Sean S

26 nov. 2019

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

par Marshall T

26 mai 2020

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

par Christeen P

12 mars 2021

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

par Avnish A

26 mars 2020

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

week 1 was good

par Pedro J G R

14 oct. 2021

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

par Kwame N D

5 janv. 2021

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

par Ohad s

2 oct. 2020

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

par Chavassieux

17 sept. 2021

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

par Boyan D

5 nov. 2020

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

par tanish s

27 avr. 2020

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

par Julián E

12 sept. 2021

The labs are not challenging

par Deependu G

20 avr. 2021

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par Priyanshu C

29 sept. 2021

Very bad course

par Suman D

11 nov. 2021

very bad

par Mohamed s

15 mai 2020

too bad