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Python and Statistics for Financial Analysis

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.

Created by The Hong Kong University of Science and Technology


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What you’ll learn


Through this learning resource you can improve the skills demanded by companies these days. The most relevant technique in the educational resource that is frequently mentioned from companies is Data Analysis. The most relevant tool is Python. You will also find out about Programming Skills, a trait often mentioned in job advertisements.

Who will benefit?


Contrasting the description from this learning resource with nearly 10,000 data-related job maps, we determine that those in or pursuing Data Scientist roles have the most to gain.