Chevron Left
Back to Python and Statistics for Financial Analysis

Learner Reviews & Feedback for Python and Statistics for Financial Analysis by The Hong Kong University of Science and Technology

4.4
stars
3,165 ratings
703 reviews

About the Course

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 reviews

LH

Mar 23, 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.

GZ

Mar 25, 2020

Very clear explaining of the significant aspects when structuring a financial analysis, applicable in many forms of data if you don't want to make predictions only for the stock market.

Filter by:

626 - 650 of 719 Reviews for Python and Statistics for Financial Analysis

By Roberto P

Jan 28, 2022

Mixed opinion for this course: is a good introduction to Python, statistics and econometrics, and you actually learn something. But sometimes it asumes you know things that weren't explained before, the exams contain some errors, and the explanations are not always good.

By Eduardo F R

Sep 2, 2020

It has wide explanation of statistics basics on the other hand the model development with python applied in finance has too few examples. I would also suggest data acquisition with Yahoo Finance or Google to be explained as it is widely used in financial analysis.

By Mingyue W

Jun 14, 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.

By Marcos T

Nov 9, 2021

No profundiza sobre ningún tema, es más bien un curso introductorio de estadística y finanzas, utilizando phyton para programar, pero al no tener un soporte más robusto de algunos temas de phyton, es difícil volver a replicar lo aprendido

By Deleted A

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.

By 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.

By Toms R B

Apr 24, 2022

The course has some bit of technical problems, for example in the quizes most of the links are not working so you have to guess the answer. Other than that, a good introduction to python statistics.

By 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.

By Ondrej D

Sep 6, 2021

Great combination of applied Python and theory yet the theory is sometimes explained too hastily and I did have trouble to follow without stopping to research the topics and definitions mentioned.

By 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.

By 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.

By Anand S

Sep 7, 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.

By Joao V R d S

Mar 22, 2021

Acho que falta exercicios para praticar e colocar em pratica tudo que foi visto.

O curso é muito rápido e muito denso em conteúdo porém acho que esse ponto deve ser melhorado

By Michael O

Oct 25, 2020

It's kind of hard to understand to understand the lecturer/professor, but the course material is interesting. I was hoping for a little more programming in Python though!

By 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.

By ssagnik 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

By マウロモリナ

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.

By 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.

By 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.

By 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.

By King Y C

Feb 8, 2019

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

By 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.

By 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.

By Jorge A

Dec 19, 2021

El curso presenta conceptos complicados y no están lo suficientemente bien explicados por lo que se hace difícil de seguir.

By Christopher 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.