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学生对 The Hong Kong University of Science and Technology 提供的 Python and Statistics for Financial Analysis 的评价和反馈

4.4
4,516 个评分

课程概述

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....

热门审阅

RH

Jan 4, 2024

It is an excellent course to apply statistic, probability and python methods in financial modelling. I would like that each section had resources to study statistics concepts related to the videos.

GR

Mar 28, 2022

Very useful introductury course into both python and statistic analysis wich allows you to create a simple trading strategy. It serves as a great first step but there is a long way to go still.

筛选依据:

701 - Python and Statistics for Financial Analysis 的 725 个评论(共 1,035 个)

创建者 kevin q

Oct 4, 2022

This course covers practical python and statistic applications in finance, but requires some understanding of python and statistic concepts. Good course over all.

创建者 WangChia Y

Aug 15, 2023

The course is pretty difficult. And there were multiple small errors throughout the course. However I learned a lot from this course and glad I made it through.

创建者 Prateek P

Sep 29, 2020

Kinda complicated on the statistics front if you're a beginner like me but I appreciate the knowledge I gained on how to handle financial data using python.

创建者 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.

创建者 Àlinur S

Jan 11, 2021

The course is excellent because of its content, however, there were not enough practical tasks to develop an understanding of the topic deeper. Thank You!

创建者 Mia

Sep 21, 2021

There are many example to show you how to do financial analysis. But if you don't have any statistical background, it's hard to understand some concept.

创建者 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

创建者 Taouli O

Aug 1, 2020

It was an interresting course which helped me to discover statistics and financial word and to learn how to use python to deploy analysis of the markets

创建者 Athulya S

Nov 19, 2023

It was a really nice course. The professor explained each chapters very well. Also the practice lab notebooks were also helpful to understand well.

创建者 Manik H

May 2, 2020

There should be 2 programming assignments as well. That will make the course more challenging and difficult to pass by just skimming through videos

创建者 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.

创建者 Aditya B

Jul 30, 2020

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

创建者 Jack W E

Jun 9, 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.

创建者 Karthikeyan T

Jan 2, 2021

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

创建者 Anushka C

Apr 21, 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.

创建者 Chiu S W T

May 12, 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!

创建者 Jefferson A d O

Dec 31, 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.

创建者 Nicolo d G

May 4, 2020

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

创建者 Amelia D P A

Jan 30, 2021

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

创建者 David M

Aug 9, 2020

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

创建者 amit d

Sep 16, 2019

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

创建者 vineet b

May 21, 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.

创建者 Kuanzhi L

Feb 5, 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.

创建者 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.

创建者 hadirah h

Apr 7, 2025

I like the classes, easy to follow, the only thing i would like for it to be improved is to have a little bit more exercises in jupyter