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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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576 - 600 of 914 Reviews for Python and Statistics for Financial Analysis

By Julian W

Jan 9, 2020

Nice intro to using python in financial statistics. I dont have financial background so a lot of things were too complex for me. In general this course will not teach you statistics or python but will rather show potential in learning both of them together.

By Thomas M

Oct 15, 2022

Professor Wan was a great teacher. However, I believe that going in to more depth concerning the modules contained in jupyter notebook would be beneficial to better understand the actual mathematical processes behind the statistical analysis we performed.

By Eryk P

Jan 23, 2023

Very good course combining financial analysis with Python implementation! However, I've expected more of the own work in the Jupyter notebooks, rather than just running pre-made code. Besides that, well-taught course with real-life implementations.

By Wanyu W

Mar 9, 2022

It's easy for me.The only difficlut part is the knowledge of trading strategy. This is a basic class for some finacial students who didn't know how to use python to predict price and make decesions. What's more, adding more progamming is favorable.

By Luis D G M

Aug 21, 2023

It´s a good course to learn about not only Python, but also about statistics and how you can manage those for financial analysis. It covers interesting topics, however sometimes some topics are complicated and need a bit of previous knowledge.

By ali j

Sep 21, 2023

The course should have been a bit longer as it felt rushed. Particularly in the Linear Regression Model. Also the Lab should have been more involved as mostly it was just changing a thing or two rather than writing code yourself for practice.

By john s

Jul 3, 2021

good overview. some of the formulas were a bit hard to follow initially. need to plan to spend time on labs/examples to get the hang of it. a little more explanation of interpreting results would have been nice. overall, good course.

By Alvaro V T

Jan 23, 2021

The course was good, however the resources used are sometimes confusing and lack information

also, the tests have links and NONE of them work (at least on my computer)

In general, thank you for making this course available for everyone ;)

By Arash P

Aug 25, 2022

Thanks to professor and Coursera, this course was beneficial, although because of my lack of statistical knowledge, it was pretty time-consuming and hard to keep up with, though with a little study on the side it became possible.

By Prashant G

Dec 4, 2022

Course touch based on lot of good fundamentals and basic maths for finance. Also the Python coverage is very good. Some of the things I feel could improve

1. Abrupt jumps

2. Not explaining the rationale of formulas at many places.

By Robert B

May 17, 2022

Easy course to follow, just wish there was more 'do-it-yourself' parts vs. having all the code written already and all you have to do is run them. Overall, I learned quite a bit as the Professor was very detailed and concise.

By Francisco R

Apr 12, 2021

Too much too fast. I was having trouble keeping up in some lessons because i didn't know how to code in with Python in the first place. But overall, good course and use of statistics applied to finance modeling and analysis.

By Richie S

Sep 1, 2020

Good introduction to Financial Analysis. However people with no background in statistics may have trouble. Moving back and forth between lectures to recollect small details makes it a good learning tool.

Thanks Again!

By VIJAYA L M

Aug 19, 2021

The course true to its title and objectives and delivers a good understanding of the basics of python and statistics needed for financial analysis. An additional practice dataset for each week would be helpful.

By Gregório P d O

Jul 13, 2020

The course is very short and condensed, serving as an introduction to Finance with Python. More examples and exercises are needed to explain more about the topics, but overall it's pretty good and straightforward.

By Zacharias L

Mar 10, 2020

I have learned quite a lot from this course. Econometrics and statistics are an important part of Financial Analysis of course. I would prefer if the course drew more deeper into the mechanics of Python, however.

By Matthew B

Aug 3, 2019

Good course with introduction to some statistical concepts and surface level python. Does not go into great depth with python and the jupyter notebooks could be a bit more challenging but overall a solid course.

By Saksit S

Jun 29, 2020

This is very fun course but i'm not recommend for beginner at least you need to have knowledge of statistics and basic machine learning(test,train) these will help you more understanding while study this course

By Lorenzo P

Sep 15, 2020

Really useful tool to know something about libraries like Pandas, Numpy, Matplotlib, Scipy and useful review of statistics. Pity that algo trading strategies don't work very well. Maybe they require more study

By Jesús A A A

Mar 12, 2024

El curso empieza con buen ritmo, pero hay un gran salto de complejidad al final del tercer módulo, posteriormente el tiempo de cada una de las lecciones es muy poco para explicar correctamente el contenido.

By jitesh p

Aug 2, 2020

The course is power-packed and sound technically, I as an MBA student would recommend you guys to study statistics as a prerequisite before this course which will help you to understand this course better.

By Christopher E

Jun 20, 2021

Great Course, may be hard if you don't have basic knowledge of statistics and some principles of Finance. I wish there was a specialisation or follow up course, found the videos, readings and labs great.

By Quentin D

Oct 2, 2019

Good class to learn the basics of statistics for financial analysis, the Jupyter Notebook is great and the exemples are very practical. It makes it a good starting point if you never used python before.

By Eric C

Nov 10, 2019

The course was very good and gave useful skills for statistical analysis with python. I do wish there was a more detailed introduction to the course for people who may not have a technical background.

By Edoardo C

Apr 19, 2020

Very basic and easy to follow if you have enough programming and mathematics background.

It provides a useful insight on some of the foundations of the techniques and ideas used in Financial analysis.