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1 min
Modern Portfolio Theory (MPT)
6 min
What is Efficient Frontier?
4 min
Portfolio Optimization of Volatile assets : Efficient Frontier- Python
- Dive into the dynamics of portfolio optimization, focusing on volatile
assets using Python to master the Efficient Frontier technique.
Created by Selva Prabhakaran
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13 Video Lessons
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English
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English captions
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
Efficient Frontier theory
Efficient Frontier theory
and its application
02
Techniques to assess and
Techniques to assess and
manage risk in investment
Portfolios
03
Techniques to assess and
Techniques to assess and
manage risk in investment
Portfolios
04
Strategies for diversifying
Strategies for diversifying
investments to maximize
returns
05
Hands on reproducible
Hands on reproducible
Python codes
06
Insight into advanced
Insight into advanced
portfolio optimization
concepts
Course Curriculum
3 Modules | 16 Sessions | 1 hour 15 min Total Time
Getting started
Sessions: 4 | Time: 26 min
Understanding with simpler example
Sessions: 5| Time: 21 min
Building Optimal Portfolio
Sessions: 7| Time: 28 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
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Future Data Scientists and ML Engineers
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Product Managers, Program Managers, Scrum Masters working in ML/Data science project
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Software/Data engineers interested in quantitative analysis
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Software engineers interfacing with data science team
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Executives who have to lead or interact with Data Scientists
Instructor
Selva Prabhakaran Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last
10 years of my data science experience I’ve deployed 20+ global products. I’m
also the Founder & Chief Author of Machine Learning Plus, which has over 4M
annual readers.
I specialize in covering the in-depth intuition and maths of any concept or
algorithm. And based on my existing student requests, I’ve put up the series of
courses and projects with detailed explanations – just like an on the job
experience. Hope you love it!
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4.5+Instructor rating
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200+ reviews
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10K+students
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15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts