Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Investment Management with Python and Machine Learning Specialization

Instructors: Sean McOwen

Included with Coursera Plus

Learn more

4 course series

Get in-depth knowledge of a subject

4.5

(1,670 reviews)

Beginner level

No prior experience required

2 months at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

4 course series

Get in-depth knowledge of a subject

4.5

(1,670 reviews)

Beginner level

No prior experience required

2 months at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

What you'll 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

Overview

The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.By the end of this specialization, 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’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English

17 practice exercises

Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from EDHEC Business School

Specialization - 4 course series

The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.By the end of this specialization, 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.

Introduction to Portfolio Construction and Analysis with Python

Course 125 hours4.8 (1,456 ratings)View course

What you'll learn

Gain an intuitive understanding for the underlying theory behind Modern Portfolio Construction Techniques
Write custom Python code to estimate risk and return parameters
Utilize powerful Python optimization libraries to build scientifically and systematically diversified portfolios
Build custom utilities in Python to test and compare portfolio strategies

Skills you'll gain

Risk Management, Portfolio Management, Financial Modeling, Python Programming, Investment Management, Data Manipulation, Risk Analysis, Matplotlib, Pandas (Python Package), NumPy, Asset Management, Probability Distribution, Financial Analysis, and Simulations

Advanced Portfolio Construction and Analysis with Python

Course 212 hours4.7 (509 ratings)View course

What you'll learn

Analyze style and factor exposures of portfolios
Implement robust estimates for the covariance matrix
Implement Black-Litterman portfolio construction analysis
Implement a variety of robust portfolio construction models

Skills you'll gain

Python Programming, Risk Management, Return On Investment, Financial Market, Risk Analysis, Portfolio Management, Time Series Analysis and Forecasting, Statistical Methods, Asset Management, Regression Analysis, Investment Management, Financial Modeling, and Estimation

Python and Machine Learning for Asset Management

Course 316 hours3.1 (331 ratings)View course

What you'll learn

Learn the principles of supervised and unsupervised machine learning techniques to financial data sets
Understand the basis of logistical regression and ML algorithms for classifying variables into one of two outcomes
Utilize powerful Python libraries to implement machine learning algorithms in case studies
Learn about factor models and regime switching models and their use in investment management

Skills you'll gain

Applied Machine Learning, Asset Management, Regression Analysis, Machine Learning, Investment Management, Unsupervised Learning, Feature Engineering, Portfolio Management, Risk Management, Computer Science, Financial Modeling, Dimensionality Reduction, Supervised Learning, Statistical Methods, and Predictive Modeling

Python and Machine-Learning for Asset Management with Alternative Data Sets

Course 420 hours4.4 (236 ratings)View course

What you'll learn

Learn what alternative data is and how it is used in financial market applications.
Become immersed in current academic and practitioner state-of-the-art research pertaining to alternative data applications.
Perform data analysis of real-world alternative datasets using Python.
Gain an understanding and hands-on experience in data analytics, visualization and quantitative modeling applied to alternative data in finance

Skills you'll gain

Text Mining, Network Analysis, Data Analysis, Python Programming, Financial Data, Applied Machine Learning, Advanced Analytics, Financial Market, Data Mining, Financial Analysis, Risk Analysis, Market Data, Consumer Behaviour, Data Visualization Software, Unstructured Data, Investments, Web Scraping, Social Network Analysis, Predictive Analytics, and Asset Management