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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
3,246 évaluations
719 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

SL

13 avr. 2021

Un curso con una perceptiva muy refrescante en cuanto a los conceptos técnico-estadísticos y sumamente prácticos. e incluso baratos, de implementar dentro del mundo de la inversión. Muy buen trabajo.

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.!

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626 - 650 sur 733 Avis pour Python and Statistics for Financial Analysis

par Surendranath M

2 juil. 2021

Either content should be split into more modules or more lectures to be added in existing modules such that details are covered with a slightly more elaboration. Notebooks must include exercises rather than passive demos of techniques. Students may be provided with reading materials/links as followed by Coursera in other courses.

This course gave me an idea of financial analysis tools available and its usage in Python. Thank you for the free course

par Reo W

31 mai 2020

Overall good, the professor is delicated and responds to the forum actively. But the course could be better designed. Even though I have learned the knowledge of statistics, econometric, and python and got a 100% certificate, the course is still difficult for me to digest. I have to pause the video and think 5-8 times per video. The pace is so fast that some usages of the python or applicaions of finance equations lack sufficient illustration.

par Andrew C

16 oct. 2019

I wish the concepts in this course were gone into more in depth. They aren't necessarily difficult but they can get complex and when the instructor spends an accumulation of 30 or less per module it is hard to fully understand. More practice is needed as well. All the code was done for you except for just a few lines. People who learn by application will not gain much from this course.

par Muhammad U K

14 févr. 2021

Though, the course has got potential to be further refined with the inclusion of some of the foundational concepts of finance.

I would rate it 3 out of 5, because of slight difficulty in understanding lectures due to speech delivery, lack of challenge in the form of already filled labs, however, there are some good foundational concepts as well to get yourself started in stock trading.

par Kwok T F E

25 juil. 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

17 avr. 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 Sanson

18 juin 2021

The course is trying to cover multiple area of skills (python, statistics, and financal analysis) in a short period of time. It might be difficult for people who do not know much computer programming experience to follow the Python part. Vice versa, it might be difficult for people to pick up much financial concepts as an amateur.

par Gustavo V

26 févr. 2022

It's very hard to follow what the instructor is meaning. I dont agree with some mathematical definitions he states as learned by other methods (estimators as aleatory variables to determine the best estimator). It is the first time that heard of "degrees of freedom". I wish placing more focus on Python than in statitics.

par dan t l p

4 juil. 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 dima z

22 janv. 2022

I​'m not sure for whom this course is dedicated. To undestand what's going on here you have to know statistics' topics and some Python libraries. This course is showing (not explaining, just showing) to you how to use your statictic knowledge in Python libraries whiches you have to be familiar with.

par Alexander D

3 déc. 2020

This is overall a good course; it is well explained and very quick. However, it would benefit with assigning more exercises or ensuring that the labs are more interactive. In this topic, practice makes perfect and is very necessary. Also, the quizzes require clicking on links that do not work.

par Miranda G

10 sept. 2020

Good course but I think that economic concepts should be explained in more depth so that we can work better on Jupyter (which is a great way to teach / learn). I also think that more written material with illustrative examples could be included, not just lines of code that generate results.

par Cesar D

5 mai 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 Roberto P

28 janv. 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.

par Eduardo F R

2 sept. 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.

par Mingyue W

14 juin 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 Marcos T

9 nov. 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

par Deleted A

25 avr. 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

16 juil. 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 Toms R B

24 avr. 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.

par Ricardo P

16 mai 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 Ondrej D

6 sept. 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.

par Yi L

13 oct. 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

15 déc. 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.