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Voltar para Python and Statistics for Financial Analysis

Comentários e feedback de alunos de Python and Statistics for Financial Analysis da instituição Universidade de Ciência e Tecnologia de Hong Kong

4.4
estrelas
3,248 classificações
719 avaliações

Sobre o 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....

Melhores avaliações

SL

13 de abr de 2021

Un curso con una perceptiva muy refrescante en cuanto a los conceptos técnico-estadísticos y sumamente prácticos. e incluso baratos, de implementar dentro del mundo de la inversión. Muy buen trabajo.

EJ

3 de ago de 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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501 — 525 de 734 Avaliações para o Python and Statistics for Financial Analysis

por Jefferson A d O

31 de dez de 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.

por Nicolo d G

4 de mai de 2020

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

por Amelia D P A

31 de jan de 2021

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

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 set 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 mai 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 fev 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 out de 2020

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

por ABIEL J S T

15 de jul de 2021

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

por Phi L B

9 de mai 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 Cristiano d L L

15 de abr de 2021

Very good, for educational porposes.

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

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 jan 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 jan 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.