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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
4,035 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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601 - 625 of 914 Reviews for Python and Statistics for Financial Analysis

By Anniina K

Apr 13, 2020

This was a really good and useful course for me. All of the concepts were explain well. However, since I am very familiar with basic statistics, some of the things were a little bit too easy for me.

By Sai G B

Aug 4, 2019

Course content, pacing and assignments were excellent. However, it is hard to get all the statistical concepts without prior background. Providing reading materials in the relevant topics would help

By Andres F T Y

Aug 5, 2021

It is rated as intermidiate, but it gives so many tools that it should be rated lower. I find it interesting to learn, but it should include more activities to enhance what the student is learning.

By Chun W P

Aug 19, 2020

Great fundamental course. However, some codes are outdated and it is somewhat troublesome to find the right code as a coding beginner. I've also learnt a lot from the 'finding' process too though.

By Kexin X

Aug 2, 2020

The linear regression part is useful and the trading strategy is also very helpful and inspiring. But statistics knowledge is definitely required to gain a thorough understanding of the topics.

By Abi A

Jan 15, 2020

Gives a good introduction to the topic but I needed to allocate time for further reading on the topics presented and to fully grasp the concept, which is more or less expected of any student.

By A

Jul 18, 2020

This course explained the Python code in great details and the forum for support was great. I would like if there were more materials to read to understanding the statistics that were used.

By Norberto Q C

Apr 4, 2020

Deberían actualizar los codigos que cambiaron porque es muy dificil sino para alguien que no sabe de python buscarlo por su cuenta. Por ejemplo, el codigo para importar archivos csv cambio

By Yulia K

Feb 16, 2021

A bit difficult for people non-trading majority and Python (basic programmig knowledge). It is expected to explain more about Python functionalities and opportunities in Data Analysis.

By Vlad C

Jul 11, 2020

It was a very good course that gave me quick and dirty tips on how to use python to generate statistical analysis of finance data. Need to update some of the course materials though.

By Viet

Feb 4, 2024

The course is not for beginners imo, you have to have some knowledge about statistics to be able to understand the concepts and functions used in this course. Overall, it was ok

By xjtuwl

Aug 31, 2021

Very good course. helped me reveiwed many statistics knowledge and python programming. Only demerit is the quiz4, some links are redirected to the course intrdruction page.

By Anton A

Apr 7, 2020

Some spelling mistakes in the course materials, but otherwise a good overview of the topic. Would have liked to see the notebooks be more interactive, like for weeks 1 and 2.

By Ratish R

Apr 29, 2020

The study materials and lectures are really helpful to gain the required knowledge of Python and its application in financial field. The model creation was the best one.

By Roderica W

Oct 18, 2021

Very comprehensive. Would be great if after building up on the statistics knowledge, it's followed with more practical examples. But very wholesome course throughout!

By Julie W

Oct 25, 2020

Great slides and great example. Some quiz problems seem to contain errors. Quiz problems link to the notebook are difficult to navigate. Only reason to give a 4-star

By Rahul

Aug 2, 2020

Week 4 could have been taught in more constructive manner like the previous 3 weeks' content. Otherwise, it's a great combination of Finance, Statistics, and Python.

By kevin q

Oct 4, 2022

This course covers practical python and statistic applications in finance, but requires some understanding of python and statistic concepts. Good course over all.

By WangChia Y

Aug 15, 2023

The course is pretty difficult. And there were multiple small errors throughout the course. However I learned a lot from this course and glad I made it through.

By Prateek P

Sep 30, 2020

Kinda complicated on the statistics front if you're a beginner like me but I appreciate the knowledge I gained on how to handle financial data using python.

By Patricia I J L

Oct 25, 2019

Is a good course for begginers in python, but you should really have a background in investment finance and stadistics if you want to take advantage of it.

By Àlinur S

Jan 11, 2021

The course is excellent because of its content, however, there were not enough practical tasks to develop an understanding of the topic deeper. Thank You!

By Mia

Sep 21, 2021

There are many example to show you how to do financial analysis. But if you don't have any statistical background, it's hard to understand some concept.

By Baptiste M

Aug 18, 2019

Good introduction to Python. Need aforelearnt competencies in statistics. Course goes a bit too fast concerning the translation of statistiques to python

By Taouli O

Aug 1, 2020

It was an interresting course which helped me to discover statistics and financial word and to learn how to use python to deploy analysis of the markets