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Kursteilnehmer-Bewertung und -Feedback für Python and Statistics for Financial Analysis von The Hong Kong University of Science and Technology

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1,932 Bewertungen
436 Bewertungen

Über den Kurs

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....

Top-Bewertungen

EJ

Aug 04, 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

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.

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376 - 400 von 433 Bewertungen für Python and Statistics for Financial Analysis

von 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.

von 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.

von 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.

von 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.

von 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.

von 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.

von 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.

von 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.

von mission 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

von 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.

von 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.

von Lisa W

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.

von 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.

von 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.

von 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.

von 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.

von 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.

von Sam N

Jan 08, 2020

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

von Wynona R N

Aug 18, 2020

Good course! It will be better to put more challenging questions as a practice in the jupyter notebook.

von Arihant J

Apr 12, 2020

The basics were not explained properly.

A lot of code was unexplained.

Forum doubts were not answered .

von Luke L

Sep 08, 2019

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

von Prateek J

Aug 10, 2020

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

von Hugo L M

Aug 31, 2020

It did deliver the content it was supposed to, but it could be done in a more slow-paced manner.

von Arnaud S

Aug 21, 2020

Interesting but it is too fast on more difficult topics (specially the last week).

von Shine A

Sep 10, 2020

Great course as a Basic for Data Analysis. Not very in depth analysis of finance.