Back to Python and Statistics for Financial Analysis
Learner Reviews & Feedback for Python and Statistics for Financial Analysis by The Hong Kong University of Science and Technology
4,603 ratings
About the Course
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.
Top reviews
SB
Aug 3, 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
SZ
May 26, 2021
if there are answers for lab, it may more convenient for learners to recheck. some quiz link are useless to access the right place, hoping it could be fixed. the content is good.
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