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
4,047 ratings

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

RH

Jan 4, 2024

It is an excellent course to apply statistic, probability and python methods in financial modelling. I would like that each section had resources to study statistics concepts related to the videos.

EJ

Aug 3, 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.!

Filter by:

801 - 825 of 916 Reviews for Python and Statistics for Financial Analysis

By dima z

Jan 22, 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.

By Mr D 0

Jun 4, 2023

The pace is too fast and instructor speaks rapidly and can hardly catch what he is talking about without the subtitles, not to mention the new terms and concepts, esp for those non-Stats learners.

Too many typos in the course notes and lab exercise.

Many sleepless hours to pass this course. :)

By Alexander D

Dec 3, 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.

By Miranda G

Sep 10, 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.

By Cesar D

May 5, 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.

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 Victor C O

Jun 5, 2023

Easy to follow and interestijg in content for starters, but the theory part is a little bit scarce. Larger lectures with more detail would have been a plus. Other than that, the course is intuitive.

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 Federica F

Jan 26, 2024

Some topics are treated too fast, there is no time to understand the implications of what the teacher said. The links to the notebook in the test don't work.

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 Andres M M B

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.