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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
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.

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701 - 719 of 719 Reviews for Python and Statistics for Financial Analysis

By Lubie W

Aug 9, 2020

This course teaches statistics more than Python coding. The codes are not well explained or even not explained by the instructor. The instructor spent more time on statistics concepts than going through the Python coding. I learned very little about Python in this course.

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 Looked at the discussion board and people were saying it was because the course is outdated and the code he explained might not even work with the version we were using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- t​he 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 Julián E

Sep 12, 2021

The labs are not challenging

By Deependu G

Apr 20, 2021

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By Priyanshu C

Sep 29, 2021

Very bad course

By Suman D

Nov 11, 2021

very bad

By Mohamed s

May 15, 2020

too bad