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

Requirements
nothing
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

Citación :

rapidgator_net:
https://rapidgator.net/file/1d314e85a80d1aeefe39dedd8e89b145/afikh.four.courses.in.one.at.python.financial.analysis.rar.html

nitroflare_com:
https://nitroflare.com/view/9605A122C81E90D/afikh.four.courses.in.one.at.python.financial.analysis.rar

uploadgig_com:
http://uploadgig.com/file/download/381355c04fcBc10E/afikh.four.courses.in.one.at.python.financial.analysis.rar