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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
1,655 ratings
373 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 24, 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.

TT

Apr 23, 2020

Generally, the course offer many approach with financial data but not very easy to understand for beginner such as myself. I hope there will be more course like this in the future !!!

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326 - 350 of 369 Reviews for Python and Statistics for Financial Analysis

By Anand S

Sep 07, 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 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 Andres M M

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.

By linker9x

Mar 16, 2020

It's not bad, but it's not great either. I guess it works as a good starting point for further research, but the content is pretty general.

By Mridul w

Dec 29, 2019

Overall a great experience but was not having a finance background so using these stock market terms for the first time was a challenge.

By King Y C

Feb 08, 2019

The course is somehow overlapped with the course ISOM2500.Moreover,i do not think that I have really learned a lot regarding Python.

By Lui M C

May 17, 2020

A per-requsite of statistics is required. One should review the basics of statistics before taking the course. Pace is too fast.

By Sui W T

Feb 10, 2019

It's a bit difficult for students who have no either coding or statistic background to understand the content of the course.

By Christopher A B

Apr 22, 2020

Overall pretty good, somethings are pretty much just glossed over and you have to figure out yourself or just plain skip.

By Sam N

Jan 08, 2020

Do not recommend. Try other courses that specify on the individual topics rather than skimming over all 3 !

By Arihant J

Apr 12, 2020

The basics were not explained properly.

A lot of code was unexplained.

Forum doubts were not answered .

By Luke L

Sep 08, 2019

Lots of info to learn. Does not challenge you to actually write the code, which is a big drawback.

By Shriya K

Jun 03, 2020

went too fast sometimes. basics were not made clear the course matrial is good

By Anushka G

Jul 07, 2020

Some of the material of the course needs to be updated including the quizzes.

By Mehul V

Mar 11, 2019

Many things were left unexplained. A step by step procedure wasn't followed.

By KAUSHIK N

May 06, 2020

More explanation were required on the codes, being a beginner level course.

By Jacob R

Jun 28, 2020

Pretty solid course, kind of difficult to grasp at times to a newcomer.

By RAHUL N

Jul 07, 2020

No coding based assignments. Not too useful.

By Chaitanya G

Apr 28, 2020

The videos could have been more explanatory.

By Fernando D

Apr 02, 2020

Es un curso para interesados en trading

By Hriju S

Jul 27, 2020

its a good learning experience for me

By Dawn M

Apr 13, 2020

It was a bit hard to follow

By Chutian Z

Feb 10, 2020

The topics are interesting and some basic statistics/finance knowledge are required for the learner. The cons of this course is there are no coding practices or homework. The Jupyter Notebook included after each lesson basically asks you to copy and paste the syntax provided. The student's knowledge base is evaluated only through simple quizzes, which I found absolutely insufficient. Only when the hands get dirty can a student actually master the coding skills. I won't recommend this course.

需要一些基本的统计学和金融知识,但没有作业自己不用输代码,coding skill得不到训练,不推荐。

By Volodymyr M

May 20, 2020

I really cannot recommend this course. Course tries to touch two major topics: Financial Risk Management and Statistics. In both disciplines course is only scratching surface of the subject without going into any details. Just for quantitive estimation, FRM is 100+ hours of material, Statistics - another 200+ hours. Whole course contains definitely less than 4 hours of lectures.

On the other hand - course is some sort of source of topics you need to find yourself over Internet and learn yourself.