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    Back to Python and Statistics for Financial Analysis

    Learner Reviews & Feedback for Python and Statistics for Financial Analysis by The Hong Kong University of Science and Technology

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.4
    stars
    4,450 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, distri...
    ...

    Top reviews

    RH

    Jan 4, 2024

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    GR

    Mar 28, 2022

    Filled StarFilled StarFilled StarFilled StarFilled Star

    Very useful introductury course into both python and statistic analysis wich allows you to create a simple trading strategy. It serves as a great first step but there is a long way to go still.

    Filter by:

    651 - 675 of 1,019 Reviews for Python and Statistics for Financial Analysis

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    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 ;)

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    By Sandy J

    •

    Jan 28, 2025

    Well constructed learning and the Jupyter Notebooks are a great way of completing exercises. Some of the labs could be improved by incorporating more exercises and there are a number of typos throughout, but overall a useful course.

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    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.

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    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.

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    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.

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    By Francisco R

    •

    Apr 11, 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.

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    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!

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    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.

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    By Gregório P d O

    •

    Jul 12, 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.

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    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.

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    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.

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    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

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    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

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    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.

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    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.

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    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.

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    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.

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    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.

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    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.

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    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.

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    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

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    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.

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    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.

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    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.

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    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.

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