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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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523 reseña

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 reseñas

LH
23 de mar. de 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.

GZ
25 de mar. de 2020

Very clear explaining of the significant aspects when structuring a financial analysis, applicable in many forms of data if you don't want to make predictions only for the stock market.

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351 - 375 de 518 revisiones para Python and Statistics for Financial Analysis

por David M

9 de ago. de 2020

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

por amit d

17 de sep. de 2019

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

por vineet b

21 de may. de 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.

por Kuanzhi L

5 de feb. de 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.

por Vijay D

15 de ago. de 2019

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

por Luis M

5 de oct. de 2020

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

por Phi L B

9 de may. de 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.

por Sebastian C

26 de ago. de 2020

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

por Ramazan A

19 de ago. de 2019

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

por Francesco P S

23 de jul. de 2019

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

por Udit N

17 de jun. de 2020

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

por Rajeev K

10 de jun. de 2020

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

por helio h

11 de ago. de 2020

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

por Pedro

18 de jul. de 2020

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

por kaustubh m

23 de abr. de 2020

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

por Yash C

2 de ene. de 2020

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

por Oliver W

26 de ene. de 2021

Very fundamental course for statistics. However, machine learning now is a more common method to do stock analysis.

por YOGESHREE M T

10 de jul. de 2020

This course was too enjoyable and I have gained much more knowledge of python and statistics for financial analysis

por Quinten v d B

12 de abr. de 2020

Maybe introduce more writing of Python by the course participant instead of running the already preprogrammed code.

por Teren D

12 de jul. de 2019

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

por JUSTIN J

8 de jun. de 2020

Good course to learnig using python for Finance. Basic knowledge of Statistics and Finance concepts is expected.

por Don N

1 de may. de 2020

Week 1 - 3 is relying on your understand about Stat. Week 4 is to knowledge how to apply on model.

Good to learn.

por Mayurika B

6 de may. de 2020

Its a decent course to get acquainted with financial know-how through statistics and programming techniques.

por GyCy

14 de jun. de 2020

basic finance analysis, Prof is clear in most of the topics and some SyntaxError in the course need update

por Laxmi R

11 de jul. de 2020

The last few modules could have been better explained as it was too compact with concepts for a beginner.