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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
4,069 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 - 917 of 917 Reviews for Python and Statistics for Financial Analysis

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 Julian E

Sep 12, 2021

The labs are not challenging

By Deependu G

Apr 20, 2021

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By Umar A R

Aug 5, 2023

not a comprehensive

By hernan b

Feb 13, 2023

no entendi nada

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