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Python for Finance: Investment Fundamentals & Data Analytics

Course Summary

Python can be especially useful in finance as it has powerful analytical and predictive modeling capabilities. In this course, you'll learn just how Python can be applied in the world of finance. Even if you know absolutely nothing about coding, you'll learn in-demand, real-world skills that can make your resume jump out or help you make a difference in your own financial portfolio. Access 104 lectures & 6.5 hours of content 24/7 Build correlations between stocks, estimate risk & rate of return Explore the difference between diversifiable & non-diversifiable risk Perform regression analysis Measure a regression's explanatory power w/ R^2 Use Monte Carlo in a corporate finance context for options & stock pricing Apply the Black Scholes formula


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    Course Syllabus

    • Welcome! Course Introduction
    • Introduction to Programming with Python
    • Python Variables and Data Types
    • Basic Python Syntax
    • Python Operators Continued
    • Conditional Statements
    • Python Functions
    • Sequences
    • Using Iterations in Python
    • Useful Tools
    • PART II Finance: Calculating and Comparing Rates of Return in Python
    • PART II Finance: Measuring Investment Risk
    • PART II Finance: Using Regressions for Financial Analysis
    • PART II Finance: Markowitz Portfolio Optimization
    • PART II Finance: The Capital Asset Pricing Model
    • PART II Finance: Multivariate Regression Analysis
    • PART II Finance: Monte Carlo Simulations as a Decision-Making Tool
    • Welcome! Course Introduction
    • Introduction to Programming with Python
    • Python Variables and Data Types
    • Basic Python Syntax
    • Python Operators Continued
    • Conditional Statements
    • Python Functions
    • Sequences
    • Using Iterations in Python
    • Useful Tools
    • PART II Finance: Calculating and Comparing Rates of Return in Python
    • PART II Finance: Measuring Investment Risk
    • PART II Finance: Using Regressions for Financial Analysis
    • PART II Finance: Markowitz Portfolio Optimization
    • PART II Finance: The Capital Asset Pricing Model
    • PART II Finance: Multivariate Regression Analysis
    • PART II Finance: Monte Carlo Simulations as a Decision-Making Tool


Course Fee:
USD 25

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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