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Overview
Context
Have you ever had wondered whether an investment fund is actually a good investment? Or compared two investment options and asked what the difference between the two is? What does the risk indicator of these funds even mean? Or do you frequently work with financial data in your daily job and you want to get an edge?
In this Introduction to Portfolio Analysis in Python course offered by Data Camp, you’re going to get familiar with the exciting world of investing, by learning about portfolios, risk and return, and how to critically analyze them.
After this course, you’ll be able to make data-driven decisions when it comes to investing and have a better understanding of investment portfolios.
Programme Structure
Chapters
- Portfolio Analysis
- Risk and Return
- Performance Attribution
- Portfolio Optimization
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
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 individuals who are involved in the financial sector and need the necessary skills to make data-driven decisions when it comes to investing and managing portfolios. This may include positions such as portfolio analyst, investment banker, quantitative analyst, and more.
PREREQUISITES
- Manipulating Time Series Data in Python
- Introduction to Python for Finance
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
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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