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Opiniones y comentarios de aprendices correspondientes a Python and Statistics for Financial Analysis por parte de Universidad Científica y Tecnológica de Hong Kong

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156 revisiones

Acerca del Curso

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....

Principales revisiones

TD

Jul 05, 2019

The videos in this course are exceptional and very interesting. The Jupyter notebooks provide a good template for applying the methods and techniques.

PS

Dec 14, 2019

Great Course. I didn't have a prior background in python programming but this course made it very comfortable. Highly recommend taking this course

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101 - 125 de 158 revisiones para Python and Statistics for Financial Analysis

por Matthew B

Aug 03, 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.

por Quentin D

Oct 02, 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.

por 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.

por Sai G B

Aug 04, 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

por Abigail 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.

por Norberto Q C

Apr 04, 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

por Anton A

Apr 08, 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.

por 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.

por 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

por Ivett N C B

Oct 30, 2019

Muy buen curso sin embargo tienes que tener un poco de conociemiento de python ya que con el transcurso del curso el enfoque es más en estadística.

por 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

por 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.

por Ramazan A

Aug 19, 2019

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

por 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.

por Yash C

Jan 02, 2020

Great course, the python could be explained a bit better though, have to keep googling various forms of syntax used!

por Teren D

Jul 12, 2019

This is a good start to introducing python in a stock market context. Hopefully there can be a continuation of it.

por Antariksh A

Aug 30, 2019

The course will introduce all the basic concepts very nicely and is really good for beginners

por Sudeep K

Aug 11, 2019

Loved the way it was structured. would've liked more if we had more python coding exercises

por SIDIBE A B

Jul 21, 2019

very interested but the exercice are little easy and does not help to look for at home

por Andy M

Apr 06, 2020

Lots of information to incorporate, some time I felt lost. But the effort worth.

por Varun R

Mar 29, 2020

A tad bit more explanation per topic would make this course really enjoyable.

por Shu Y

Sep 19, 2019

some of the concepts and their meaning should be explained more detailed.

por Andrea B

Aug 02, 2019

A good course to start learning Python with a focus on trading strategies

por Lihe L

Feb 06, 2020

Clear and good for people without statistics and programming background.

por Mekhala R S M R

Sep 22, 2019

Great course. Probably one of the simplest and easiest to understand.