Chevron Left
Retour à Python and Statistics for Financial Analysis

Avis et commentaires pour d'étudiants pour Python and Statistics for Financial Analysis par Université des sciences et technologies de Hong Kong

4.4
étoiles
3,268 évaluations

À propos du cours

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....

Meilleurs avis

SL

13 avr. 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 août 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.!

Filtrer par :

501 - 525 sur 741 Avis pour Python and Statistics for Financial Analysis

par Aditya B

30 juil. 2020

Some statistical concepts required more explanation than provided. Often I had to learn about the concepts myself. Otherwise, it's a great course.

par Jack W E

9 juin 2020

I thought this offered a very valuable introduction in to the use of Pandas within Python, with work through notebooks and examples in the videos.

par Karthikeyan T

2 janv. 2021

The course gave food insigts on Statistics mainly with little less weightage on Python. Overall a decent start for financial analysis with Python

par Anushka C

21 avr. 2020

Overall the course is good but the python codes used are not explained properly. So for python beginners like me, it was difficult to understand.

par Chiu S W T

12 mai 2020

The content of the program is very useful although some question in the quiz are needed to be updated. I have learnt a lot! Thank you very much!

par Jefferson A d O

31 déc. 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.

par Nicolo d G

4 mai 2020

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

par Amelia D P A

31 janv. 2021

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

par David M

9 août 2020

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

par amit d

17 sept. 2019

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

par vineet b

21 mai 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.

par Kuanzhi L

5 févr. 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.

par Vijay D

15 août 2019

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

par Luis M

5 oct. 2020

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

par ABIEL J S T

15 juil. 2021

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

par Phi L B

9 mai 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.

par Sebastian C

26 août 2020

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

par Ramazan A

19 août 2019

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

par Francesco P S

23 juil. 2019

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

par Udit N

17 juin 2020

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

par Rajeev K

10 juin 2020

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

par helio h

11 août 2020

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

par Cristiano d L L

15 avr. 2021

Very good, for educational porposes.

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

par Pedro

18 juil. 2020

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

par kaustubh m

23 avr. 2020

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