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学生对 The Hong Kong University of Science and Technology 提供的 Python and Statistics for Financial Analysis 的评价和反馈

4.4
4,595 个评分

课程概述

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....

热门审阅

TT

Apr 22, 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 !!!

SZ

May 26, 2021

if there are answers for lab, it may more convenient for learners to recheck. some quiz link are useless to access the right place, hoping it could be fixed. the content is good.

筛选依据:

976 - Python and Statistics for Financial Analysis 的 1000 个评论(共 1,047 个)

创建者 Mehul V

Mar 11, 2019

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

创建者 KAUSHIK N

May 6, 2020

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

创建者 Jacob R

Jun 27, 2020

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

创建者 Roberto C

Jun 13, 2021

No aterriza es algo práctico que pueda utilizar para el análisis

创建者 Angad_23

Dec 16, 2023

good course but requires prior knowlege related to python

创建者 Enzo

May 6, 2021

It was pretty hard to understand concepts at the end

创建者 John K

Jan 2, 2022

Course is more about statistics than python.

创建者 RAHUL N

Jul 7, 2020

No coding based assignments. Not too useful.

创建者 Chaitanya G

Apr 28, 2020

The videos could have been more explanatory.

创建者 Fernando D

Apr 2, 2020

Es un curso para interesados en trading

创建者 Aziz U

Aug 15, 2022

It should be upgraded to help beginers

创建者 sachin t j

Nov 16, 2020

Python codes are not really explained.

创建者 HRIJU S

Jul 26, 2020

its a good learning experience for me

创建者 dhruvi

Sep 26, 2020

the content is amazing but outdated

创建者 Matías P Z

Jun 6, 2023

Most of the links didn't work.

创建者 DAWN M

Apr 13, 2020

It was a bit hard to follow

创建者 Abhishek K

Aug 25, 2024

need to improvment

创建者 Yishu D

Oct 23, 2022

average

创建者 MOHD H

Dec 5, 2020

...

创建者 PRADIP G

May 9, 2022

k

创建者 Tuấn M V

Jun 27, 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.

创建者 Michael C R

Apr 28, 2023

Some links were broken, or had other issues. The course is primarily a flash introduction to regression analysis. I was hoping to learn more python skills. Might be worthwhile if you are already comfortable with multiple regression and python but are specifically interested in financial time series. As it primarily assumes stock prices changes will be normal I expect all the material is utterly useless in the real world (real stock world shifts in stock price tend to follow Pareto distribution).

创建者 Volodymyr M

May 19, 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.

创建者 Warren V

Apr 1, 2021

In evaluating this course, it took me a while to identify the target audience from the course materials. The statistical content is too fast-paced and lacking detail for newcomers, and that the Python content is de-emphasised. I suppose that this course is a good introduction for those outside finance seeking an introduction. Looking at this course as exercises to improve my Pandas knowledge, I left disappointed because there was no course Python assignment in implementing a trading strategy.

创建者 José A G L

Dec 10, 2022

The proficiency level of English of the instructor is very poor. I don't know about English mother tongue speakers but I reckon that for everyone else the instructor was almost impossible to follow. I had to make hundreds of pauses because I couldn't understand what the instructor was saying and the subtitles are horrible as well. It easily took me x3 the time to complete because of the poor English speaking skills of the instructor.