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

4.4
stars
4,118 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.!

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901 - 925 of 932 Reviews for Python and Statistics for Financial Analysis

By Mohini J

Mar 21, 2020

The course tried to cover a lot but wasn't really helpful for those who didn't have basic knowledge of either Python or Statistics

By Bhanu T

Jul 10, 2020

Poor Explanation of topics, was in a very hurry to complete than in explaining the concepts in depth. Did not reach expectations.

By Jacob G

Jun 23, 2021

More coding please. I was looking for more linear modeling examples and implementation. The rest was relatively easy.

By Andrew D

May 24, 2022

Not enough detail. Lectures have good material but a lot of information is presented too quickly. Labs are good

By HIMANSHU V

Aug 13, 2019

Lectures are not very informative. Things are said directly and not explained well. Sadly I paid $50 for this.

By Victor H C C

Jun 17, 2022

weak, not really good course, just showing some basics of data analisys and concepts.

By Massimo F

Jun 3, 2024

non precise questions and th4e english is not easy to understand

By Danny w

May 6, 2020

The teacher need to learn better pronunciation and slower pacing

By wegdan

Feb 24, 2021

video lecturing lacks clarity and big picture context

By Eliad H

Mar 12, 2019

very basic,

not improving python skills

By Wickson H

Feb 28, 2022

Too difficult to beginner

By Liem J L

Nov 15, 2019

Should be better explained. Could not get past the first few lines in the practical. Looked at the discussion board and people were saying it was because the course is outdated and the code he explained might not even work with the version we were using

By Anas A H H

Jun 16, 2021

1- the language spoken is not clear (I had t oread the subtitles more than listening which was a horrible experience)

2- the labs are bot built in the right way, lots of errors and lots of data changes that effected the application of the commands

By Jack M

Apr 26, 2020

Horribly worded questions. Difficult to understand the lecturer. Week 1 was good to practice python. Week 2 was awful.

By Sean S

Nov 26, 2019

The code examples and quizzes have not been properly reviewed and there were multiple mistakes in them.

By Marshall T

May 26, 2020

codes are not updated to python 3. Also little opportunity to apply codes in IDLE/Anacdona yourself.

By Christeen P

Mar 12, 2021

Disorganized, and the quizzes are not testing abilities nor knowledge but just quantitative skills.

By Avnish A

Mar 26, 2020

very vague and non detailed explanations from week 2. almost impossible to catch up.

week 1 was good

By Pedro J G R

Oct 14, 2021

Very complex explanations (even if you learnt statistic before) and then zero practice. A fake!

By Kwame N D

Jan 5, 2021

Very poor delivery by the instructor. Course title inappropriate for the content.

By Ohad s

Oct 2, 2020

the instructor is not understandable and don't really explain the material

By Chavassieux

Sep 17, 2021

A lot of formulas but it miss some example too generalist sometimes

By Boyan D

Nov 5, 2020

I regret starting this course. You should unlist it from coursera.

By tanish s

Apr 27, 2020

very bad course. dont take it . no indepth knowledge.

By khushi t

May 9, 2024

Outdated and not really informative