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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
1,471 évaluations
330 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

LH

Mar 24, 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.

TT

Apr 23, 2020

Generally, the course offer many approach with financial data but not very easy to understand for beginner such as myself. I hope there will be more course like this in the future !!!

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201 - 225 sur 328 Avis pour Python and Statistics for Financial Analysis

par Anniina K

Apr 13, 2020

This was a really good and useful course for me. All of the concepts were explain well. However, since I am very familiar with basic statistics, some of the things were a little bit too easy for me.

par Sai G B

Aug 04, 2019

Course content, pacing and assignments were excellent. However, it is hard to get all the statistical concepts without prior background. Providing reading materials in the relevant topics would help

par Abigail A

Jan 15, 2020

Gives a good introduction to the topic but I needed to allocate time for further reading on the topics presented and to fully grasp the concept, which is more or less expected of any student.

par Norberto Q C

Apr 04, 2020

Deberían actualizar los codigos que cambiaron porque es muy dificil sino para alguien que no sabe de python buscarlo por su cuenta. Por ejemplo, el codigo para importar archivos csv cambio

par Anton A

Apr 08, 2020

Some spelling mistakes in the course materials, but otherwise a good overview of the topic. Would have liked to see the notebooks be more interactive, like for weeks 1 and 2.

par Ratish R

Apr 29, 2020

The study materials and lectures are really helpful to gain the required knowledge of Python and its application in financial field. The model creation was the best one.

par Patricia I J L

Oct 25, 2019

Is a good course for begginers in python, but you should really have a background in investment finance and stadistics if you want to take advantage of it.

par Baptiste M

Aug 18, 2019

Good introduction to Python. Need aforelearnt competencies in statistics. Course goes a bit too fast concerning the translation of statistiques to python

par Manik H

May 02, 2020

There should be 2 programming assignments as well. That will make the course more challenging and difficult to pass by just skimming through videos

par Ivett N C B

Oct 30, 2019

Muy buen curso sin embargo tienes que tener un poco de conociemiento de python ya que con el transcurso del curso el enfoque es más en estadística.

par Jack W E

Jun 09, 2020

I thought this offered a very valuable introduction in to the use of Pandas within Python, with work through notebooks and examples in the videos.

par Anushka C

Apr 21, 2020

Overall the course is good but the python codes used are not explained properly. So for python beginners like me, it was difficult to understand.

par Chiu S W T

May 12, 2020

The content of the program is very useful although some question in the quiz are needed to be updated. I have learnt a lot! Thank you very much!

par Nicolo d G

May 04, 2020

Relatively easy course that has taught me a number of useful panda tricks. Notebooks are used just for demonstration and not very challenging.

par amit d

Sep 17, 2019

Professor can do hands simultaneously with lecture then it will be more beneficial and easy to understand instead of explaining from slides

par vineet b

May 21, 2020

A decent beginners guide to financial analytics.

Don't expect much as this is more like a foundation course for more in depth complex once.

par Vijay D

Aug 15, 2019

It is course to learn the linear regression along with stock market basic information and strategy. Well organised and simple takeaways.

par Phi L B

May 09, 2020

Very interesting, but some concepts went too fast. It is also very difficult to learn how to code, other than copy-pasting the lines.

par Ramazan A

Aug 19, 2019

Background required, the course often provides no additional/explaining information about technical details, need to use google)

par Francesco P S

Jul 23, 2019

Overall nice course. Sometimes the instructor skips some logical steps. It would also be nicer to see the coding happening live.

par Udit N

Jun 17, 2020

You need fairly good knowledge of Python and statistics to complete this course. The course is interesting and well structured.

par Rajeev K

Jun 10, 2020

It would have been great if getting certificate of this course is based on passing "PROGRAMMING ASSESSMENT" for each module.

par kaustubh m

Apr 23, 2020

The Course gives a basic idea of how statistical distributions can be employed through python for financial markets.

par Yash C

Jan 02, 2020

Great course, the python could be explained a bit better though, have to keep googling various forms of syntax used!

par Quinten v d B

Apr 12, 2020

Maybe introduce more writing of Python by the course participant instead of running the already preprogrammed code.