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Python and Statistics for Financial Analysis, Université des sciences et technologies de Hong Kong

156 notes
32 avis

À propos de ce cours

Course Overview: 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

par DA

Jan 21, 2019

Perfect for the beginning to intermediate python programmer who wants to utilize finance data to make decisions (i.e. trading).

par GC

Mar 11, 2019

great instructions using real life data and examples. Useful for stock financial analysis based on the indicator.

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33 avis

par Aria ZENG

Apr 23, 2019


(1) h

par Jing He

Apr 16, 2019

Clear instruction and very useful python code for applied case study.

par Ren Jiawei

Apr 11, 2019

Clear explanation of the statistics and python, well-prepared exercise in notebook and basic bags in python are recommended to use in data processing.

par ducvannguyen

Apr 01, 2019

Thank you very much for this useful course. I hope to join many course from you

par Wang Hongyi

Mar 30, 2019

This is my first time to study on Coursera. This course is fairly useful to me. Thanks, Prof. Wan.

par carlo

Mar 23, 2019














Mar 12, 2019

very basic,

not improving python skills

par Gary Cheng

Mar 11, 2019

great instructions using real life data and examples. Useful for stock financial analysis based on the indicator.

par Mehul Verma

Mar 11, 2019

Many things were left unexplained. A step by step procedure wasn't followed.

par Cheuk W. Kan

Mar 01, 2019

It is a good course overall, combining the basics of statistics, Python and finance. I've learned a lot from it. I think the students can benefit more if additional suggested reading materials can be provided, so that if one lacks a strong background in a particular discipline, one can find out more outside the course. Also will be helpful if slides can be downloaded.