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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
2,134 évaluations
471 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

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.!

LH
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.

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301 - 325 sur 468 Avis pour Python and Statistics for Financial Analysis

par Jie L

25 oct. 2020

Great slides and great example. Some quiz problems seem to contain errors. Quiz problems link to the notebook are difficult to navigate. Only reason to give a 4-star

par Rahul

2 août 2020

Week 4 could have been taught in more constructive manner like the previous 3 weeks' content. Otherwise, it's a great combination of Finance, Statistics, and Python.

par Prateek A P

30 sept. 2020

Kinda complicated on the statistics front if you're a beginner like me but I appreciate the knowledge I gained on how to handle financial data using python.

par Patricia I J L

25 oct. 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

18 août 2019

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

par Taouli O

1 août 2020

It was an interresting course which helped me to discover statistics and financial word and to learn how to use python to deploy analysis of the markets

par Manik H

2 mai 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

30 oct. 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 Aditya B

30 juil. 2020

Some statistical concepts required more explanation than provided. Often I had to learn about the concepts myself. Otherwise, it's a great course.

par Jack W E

9 juin 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

21 avr. 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

12 mai 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

4 mai 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 David M

9 août 2020

Great for an intro / refresher in statistics and forecasting fundamentals. Would recommend having some Python knowledge before registering.

par amit d

17 sept. 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

21 mai 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

15 août 2019

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

par Luis M

5 oct. 2020

Very good content and excellent notebooks! Didactics (concepts, their relation with each other and applications) could somehow improve.

par Phi L B

9 mai 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 Sebastian C

26 août 2020

Great course. Learned Python and Statistical Analysis. This course could add more content as I have enjoyed the learning process.

par Ramazan A

19 août 2019

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

par Francesco P S

23 juil. 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

17 juin 2020

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

par Rajeev K

10 juin 2020

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

par helio h

11 août 2020

This course is very good, but the level of difficulty of the questionnaires is very easy, which does not match the class