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Python and Statistics for Financial Analysis, 香港科技大学(The Hong Kong University of Science and Technology)

4.6
185件の評価
38件のレビュー

このコースについて

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....

人気のレビュー

by DA

Jan 21, 2019

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

by SD

May 01, 2019

I learned a lot about how to implement financial statistics in Python and some added knowledge on statistics. Great Course.

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38件のレビュー

by DONG CHENXI

May 09, 2019

well illustrated and practical skills

by Steve Roughton

May 06, 2019

Associate Professor Xuhu Wan of HKUST ensures that a student learns both the python programming to build predictive models and the concepts of the models. To build your applied financial analysis skill set, this high caliber course ties together python programming practice with statistics.

by Torres Mx

May 06, 2019

Me gusto

Es un curso muy completo

by Boudokhane Mohamed

May 01, 2019

This course was really enjoyable : well structured, a likeable professor and very useful and illustrative exercises. the use of Jupyter notebooks was also a very good idea.

by Steven Downey

May 01, 2019

I learned a lot about how to implement financial statistics in Python and some added knowledge on statistics. Great Course.

by Aria ZENG

Apr 23, 2019

pros

(1) h

by Jing He

Apr 16, 2019

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

by 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.

by ducvannguyen

Apr 01, 2019

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

by Wang Hongyi

Mar 30, 2019

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