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Learn Python for Portfolio Analysis & Construction
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Learn Python for Portfolio Analysis & Construction

This course is part of Investment Management with Python and Machine Learning.

Course Cost

Free course

Beginner

Skill Level

24 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Investment Management with Python and Machine Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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67,337 Enrolled

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4.8

67,337 Enrolled

English

What you'll learn

  • Understand modern portfolio construction theory and implementation

  • Write Python code for risk and return parameter estimation

  • Build optimized portfolios using Python libraries

  • Develop custom utilities for portfolio strategy testing

  • Master Monte Carlo simulation techniques

  • Implement advanced portfolio insurance strategies

Skills you'll gain

Portfolio Optimization
Risk Management
Python Programming
Investment Analysis
Asset Management
Monte Carlo Simulation
Portfolio Construction
Financial Modeling
Quantitative Analysis
Asset-Liability Management

This course includes:

16 Hours PreRecorded video

4 quizzes

Access on Mobile, Desktop, Tablet

FullTime access

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Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course combines investment science theory with practical Python implementation. Students learn modern portfolio construction techniques, from basic risk-return analysis to advanced optimization methods. The curriculum covers essential topics including Modern Portfolio Theory, Monte Carlo simulations, CPPI strategies, and Asset-Liability Management. Through hands-on lab sessions, students implement these concepts using Python, working with real-world financial data and optimization libraries.

Analysing returns

Module 1 · 6 Hours to complete

An Introduction to Portfolio Optimization

Module 2 · 4 Hours to complete

Beyond Diversification

Module 3 · 5 Hours to complete

Introduction to Asset-Liability Management

Module 4 · 9 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Investment Management with Python and Machine Learning

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Learn Python for Portfolio Analysis & Construction

Beginner

Skill Level

24 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.