4.2 Read 93 reviews
Overview
By the end of this Investment Management with Python and Machine Learning Specialization course offered by Coursera in partnership with EDHEC Business School, you will have acquired the tools required for making sound investment decisions, with an emphasis not only on the foundational theory and underlying concepts, but also on practical applications and implementation.
Instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language through a series of dedicated lab sessions.
What You Will Learn
- Write custom Python code and use existing Python libraries to build and analyse efficient portfolio strategies.
- Write custom Python code and use existing Python libraries to estimate risk and return parameters, and build better diversified portfolios.
- Learn the principles of supervised and unsupervised machine learning techniques to financial data sets
- Gain an understanding of advanced data analytics methodologies, and quantitative modelling applied to alternative data in investment decisions
Programme Structure
Courses included:
- Portfolio Construction and Analysis with Python
- Advanced Portfolio Construction and Analysis with Python
- Python and Machine Learning for Asset Management
- Python and Machine-Learning for Asset Management with Alternative Data Sets
Key information
Duration
- Part-time
- 2 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Software Engineering Machine Learning Investment View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
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
Beginner Level
- No prior experience required.
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
Additional Details
- Audit: free access to course materials except graded items
- Certificate: a trusted way to showcase your skills
- A year of unlimited access with Coursera Plus $199
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
Improve page content