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Overview
Context
Evaluating the risk of portofolios is the most critical step towards being able to fully automate your portfolio construction and management processes.
What you will do during this Introduction to Portfolio Risk Management in Python course offered by Data Camp:
Learn about the fundamentals of investment risk and financial return distributions.
Level up your understanding of investing by constructing portfolios of assets to enhance your risk-adjusted returns.
Learn about the main factors that influence the returns of your portfolios and how to quantify your portfolio's exposure to these factors.
You will learn two different methods to estimate the probability of sustaining losses and the expected values of those losses for a given asset or portfolio of assets.
Programme Structure
Chapters
- Univariate Investment Risk and Returns
- Portfolio Investing
- Factor Investing
- Value at Risk
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Risk Management Financial Technology View 64 other Short Courses in Financial Technology in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is suitable for beginners. It covers the fundamentals of investment risk and returns, portfolio investing, factor investing and Value at Risk, along with interactive coding challenges.
- This course is perfect for professionals in the finance and investment industry, such as financial analysts, portfolio managers, and other positions where understanding and managing financial risk is important.
PREREQUISITES
- Introduction to Financial Concepts in Python
- Manipulating Time Series Data in Python
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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