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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
1,699 évaluations
380 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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326 - 350 sur 382 Avis pour Python and Statistics for Financial Analysis

par Kwok T F E

Jul 25, 2020

Pros: Learn some python code and review statistical knowledge (SLR, MLR)

Cons: The python code is outdated and may not usable. So time consuming to update the code.

For Example: pd.DataFrame.from_csv(..\...\AAA.csv) which is commonly used in the course

It is not usable as DataFrame.from_csv has been replaced by pd.read_csv(r'...)

Also for loc has significant changes

par Dawid V

Apr 17, 2020

The statistics element is basic and there is very little practice coding with Python. Instead, it is more of a demonstration how Python can be used to implement some regressions and basic trading strategies. Informative in showing this, however overall a bit disappointing as there was less Python learning and practice as anticipated/advertised.

par Đan T L

Jul 04, 2019

Interesting and easy to understand for people with basic background or have basic knowledge about finance or statistic. However, I wish some of the videos may have explained more about how to use the data to solve real life issues. Even though some of the practices may explore it, it appears not deep enough for me

par Cesar D

May 05, 2020

Course content is valuable from Statistics applied in Python code. Unfortunately, it didn't give enough examples or use cases for Financial Analysis. I'd like to see more stocks market predictions, studies and models using the Statistics concepts explained on this course.

par Mingyue W

Jun 15, 2020

Tough for a person not familiar with statistics and completely new to python. Would have been good to provide more basics to python as well. However, i would believe it'll be very beneficial for one who has already strong foundation in statistics to follow.

par Sushil K

Apr 25, 2020

first and 4th week was fun and relevent. but the 2nd and 3rd weeks were quite difficult to understand and also lack clarity of what we are learning is how that is going to relate in the trading programming.

par William B

Jul 16, 2020

Could have done with some more opportunities to write pieces of code in different scenarios; many of the notebooks consisted of just running the prewritten code snippets in order and observing the effects.

par Ricardo P

May 16, 2020

Overall good course but needs to clean/improve some of the code/quizes to be consistent. Does not explain Statistics or financial models well but shows basic idea of how to find/use them in Python.

par YI L

Oct 13, 2019

Videos are not really connected to the practice. Some finance and statistic stuff is simply mentioned and directly used without enough explanation. I finished the course with help from Google.

par Abhay N

Dec 15, 2019

This course is good for someone familiar with the concepts of statistics and linear regression. However, for a complete beginner, it's a little difficult to understand everything taught here.

par Anand S

Sep 07, 2019

This is a course more for statistics than python. All we understand is how to use the Python libraries and their functions to compute statistical data.

90% Statistics

10% Python.

par Ketan V

Jan 11, 2020

The video tutorial could have been better, however the notebooks and quiz were perfectly prepared and were instrumental in verifying our understanding of concepts.

par Sagnik S

Aug 10, 2020

this course is really good course to understand python programming

but

1.you need basic and intermediate knowledge of statistics

2. basic knowledge of finance

par Andres M M

Jun 22, 2020

I think the most valuable part of the course is in week 4 but It was rushed by fast

explanations and I was hoping a better pace in these important topics.

par Shashank G

May 11, 2020

The course was a bit fast-paced and explanations could be more lucid and elaborate. Please increase the number of modules and provide more practice sets.

par linker9x

Mar 16, 2020

It's not bad, but it's not great either. I guess it works as a good starting point for further research, but the content is pretty general.

par Mridul w

Dec 29, 2019

Overall a great experience but was not having a finance background so using these stock market terms for the first time was a challenge.

par King Y C

Feb 08, 2019

The course is somehow overlapped with the course ISOM2500.Moreover,i do not think that I have really learned a lot regarding Python.

par Lui M C

May 17, 2020

A per-requsite of statistics is required. One should review the basics of statistics before taking the course. Pace is too fast.

par Sui W T

Feb 10, 2019

It's a bit difficult for students who have no either coding or statistic background to understand the content of the course.

par Christopher A B

Apr 22, 2020

Overall pretty good, somethings are pretty much just glossed over and you have to figure out yourself or just plain skip.

par Sam N

Jan 08, 2020

Do not recommend. Try other courses that specify on the individual topics rather than skimming over all 3 !

par Arihant J

Apr 12, 2020

The basics were not explained properly.

A lot of code was unexplained.

Forum doubts were not answered .

par Luke L

Sep 08, 2019

Lots of info to learn. Does not challenge you to actually write the code, which is a big drawback.

par Prateek J

Aug 10, 2020

More time should be devoted on python syntax used and more models and examples should be included