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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
4,291 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.

GR

Mar 28, 2022

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.

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676 - 700 of 979 Reviews for Python and Statistics for Financial Analysis

By Jefferson A d O

Dec 31, 2021

To improve this course, I think that it might have at least a pdf of the lecture because this is helpful for us during the exercise and tests.

By Nicolo d G

May 4, 2020

Relatively easy course that has taught me a number of useful panda tricks. Notebooks are used just for demonstration and not very challenging.

By Amelia D P A

Jan 31, 2021

it is a good course, statistically detailed explanation, discussion forums are also very helpful when I have difficulty undergoing the course

By David M

Aug 9, 2020

Great for an intro / refresher in statistics and forecasting fundamentals. Would recommend having some Python knowledge before registering.

By amit d

Sep 17, 2019

Professor can do hands simultaneously with lecture then it will be more beneficial and easy to understand instead of explaining from slides

By vineet b

May 21, 2020

A decent beginners guide to financial analytics.

Don't expect much as this is more like a foundation course for more in depth complex once.

By Kuanzhi L

Feb 5, 2021

It is a good start for me to pick up more Python techniques for Financial Analysis. Than you Prof.Wan and Coursera, also my school ESSEC.

By Vijay D

Aug 15, 2019

It is course to learn the linear regression along with stock market basic information and strategy. Well organised and simple takeaways.

By luis b

Oct 13, 2022

Muy buen curso, recomendado para aquellos con alguna base de estadistica y un poco de programación para poder sacar el maximo provecho

By Luis M

Oct 5, 2020

Very good content and excellent notebooks! Didactics (concepts, their relation with each other and applications) could somehow improve.

By Naveen K M

Mar 24, 2024

Used to gain knowledge in the field of Statistics and python coding - data processing, matplotlib, regression model, predictions, etc.

By Abiel S T

Jul 15, 2021

Para personas avanzadas en Python y con un conocimiento anterior acerca del Probabilidad e Inferencia estadística, muy bueno el curso

By Phi L B

May 9, 2020

Very interesting, but some concepts went too fast. It is also very difficult to learn how to code, other than copy-pasting the lines.

By Sebastian C

Aug 26, 2020

Great course. Learned Python and Statistical Analysis. This course could add more content as I have enjoyed the learning process.

By Ramazan A

Aug 19, 2019

Background required, the course often provides no additional/explaining information about technical details, need to use google)

By Francesco P S

Jul 23, 2019

Overall nice course. Sometimes the instructor skips some logical steps. It would also be nicer to see the coding happening live.

By Udit N

Jun 17, 2020

You need fairly good knowledge of Python and statistics to complete this course. The course is interesting and well structured.

By Luz A R D

Nov 29, 2023

I tried to aks questions but coursA TRAINING TRIED TO CHARGED ME. I couldn´t ask questions. I wanted more exercises. Thanks.

By Rajeev K

Jun 10, 2020

It would have been great if getting certificate of this course is based on passing "PROGRAMMING ASSESSMENT" for each module.

By Theodore T

Jan 11, 2024

Overall, very good class. I would have liked if there last week were more interactive, however. Thank you for the class!

By helio h

Aug 11, 2020

This course is very good, but the level of difficulty of the questionnaires is very easy, which does not match the class

By Fattah S

Feb 8, 2024

Some information, e.g. the notebook linked from the quiz, is missing. Overall it is a good introductory course though.

By Cristiano d L L

Apr 15, 2021

Very good, for educational porposes.

A nice combination of programming, in python, statistics and regression analysis.

By Pedro

Jul 18, 2020

This course is practical and very useful. It is recommendable to have previous knowledge about python and statistics.

By kaustubh m

Apr 23, 2020

The Course gives a basic idea of how statistical distributions can be employed through python for financial markets.