four courses in one at python “financial analysis”

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financial anylsis by python
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

Course content
Expand all 12 lectures01:14:58
Visualizing and Munging Stock Data
27:04
Generate new variables in Dataframe
08:11
Trading Strategy
05:31
+Random variables and distribution
2 lectures08:34
+Linear Regression Models for Financial Analysis
4 lectures39:20

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