What you’ll learn
- – 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
Description
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
Who this course is for:
- beginner python developers curious about data
- financial analysis students
- accountant
- financial employee and managers
- traders