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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

4.5
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664 calificaciones
136 revisiones

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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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76 - 100 de 135 revisiones para Python and Statistics for Financial Analysis

por Santiago L C

Jan 30, 2019

I enjoy very much

por Artem C

Feb 23, 2020

Great course !

por Bhavya S

Jan 27, 2020

whatta wow :D

por 裴品傑

Jun 05, 2019

很不錯,但最後的回歸有點難

por Henrique G

Sep 24, 2019

It's great!

por Ruikun D

Jan 29, 2019

very

useful

por John W

Oct 09, 2019

great

por Xiaobing C

Dec 22, 2019

good

por PUREUM W

Jun 30, 2019

전공이 금웅공학이나 금융분야는 아니지만 관심이 많아 찾아보던중 이 강의를 들어보았습니다. 결과적으로 말씀드리면 이 강의는 대학교의 명성만큼 어느정도 수준이 높은 강의이며, 기초지식으로 파이썬과 통계학을 요구합니다. 저같은 경우, 전공이 IT여서 파이썬과 통계학을 배웠음에도 불구하고 금융적인 해석능력이 부족하여 많이 고생하였습니다. 만약 이 강의를 듣기를 고민하고 있다면, 자신이 통계학과 파이썬을 어느정도 할 수 있는지 자체 레벨테스트를 할 필요가 있습니다. 강의의 구성과 교수님의 설명은 전체적으로 만족스럽습니다. 이 교수님이 조금 더 낮은 레벨의 강의를 개설하여 입문자를 더 많이 늘렸으면 좋겠네요.

por Shiang-ping H

Feb 14, 2020

Great Intro. course to Python application in the Financial domain. It will be beneficial to have some Python and Pandas background. Good examples, very practical.

It's a great course - with many practical examples. But this course needs some basic Statistics and Python knowledge to really follow along with some "deep concepts".

por Julian W

Jan 09, 2020

Nice intro to using python in financial statistics. I dont have financial background so a lot of things were too complex for me. In general this course will not teach you statistics or python but will rather show potential in learning both of them together.

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 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.