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Our Courses
Securing Investment Returns in the Long Run
In this course, you will learn about the famous dichotomy between active and passive investing, how to appropriately measure and analyze investment performance and what the future trends in the investment management industry are. You will first learn about absolute and relative performance, risk-adjusted returns and how to decompose investment performance. The focus will then shift to the two main categories of investment vehicles, active and passive funds, and what they entail in terms of expected performance.
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Course by
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Self Paced
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8 hours
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English
Global Financial Markets and Instruments
Get a running start in the high-stakes world of financial investment! This first course is designed to help you become an informed investor by providing you with the essential concepts for long-term success in managing money. You’ll start by learning the role of financial markets and financial assets in a well-functioning economy. From there, you’ll learn about the wide range of financial instruments available in major asset classes, their features and valuations.
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Course by
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Self Paced
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20 hours
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English
Introduction to Portfolio Construction and Analysis with Python
The practice of investment management has been transformed in recent years by computational methods. This course provides an introduction to the underlying science, with the aim of giving you a thorough understanding of that scientific basis. However, 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.
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Course by
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Self Paced
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25 hours
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English
Investment and Portfolio Management
In this four-course Specialization, you’ll learn the essential skills of portfolio management and personal investing. All investors – from the largest wealth funds to the smallest individual investors – share common issues in investing: how to meet their liabilities, how to decide where to invest, and how much risk to take on. In this Specialization, you will learn how to think about, discuss, and formulate solutions to these investment questions.
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Course by
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Self Paced
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English
Investment Management with Python and Machine Learning
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.
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Course by
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Self Paced
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English
Investment Management
In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels.
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Course by
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Self Paced
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English
Machine Learning for Trading
This 3-course Specialization from Google Cloud and New York Institute of Finance (NYIF) is for finance professionals, including but not limited to hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning (ML) and Python. Alternatively, this program can be for Machine Learning professionals who seek to apply their craft to quantitative trading strategies.
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Course by
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Self Paced
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English
Using R for Regression and Machine Learning in Investment
In this course, the instructor will discuss various uses of regression in investment problems, and she will extend the discussion to logistic, Lasso, and Ridge regressions. At the same time, the instructor will introduce various concepts of machine learning. You can consider this course as the first step toward using machine learning methodologies in solving investment problems. The course will cover investment analysis topics, but at the same time, make you practice it using R programming.
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Course by
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Self Paced
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18 hours
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English
Python and Machine Learning for Asset Management
This course will enable you mastering machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University.
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Course by
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Self Paced
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16 hours
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English
Investment Management in an Evolving and Volatile World by HEC Paris and AXA Investment Managers
Have you ever wanted to invest in financial markets, but were always afraid that you didn’t have the proper tools or knowledge to make informed decisions? Have you ever wondered how investment management companies operate and what fund managers do? AXA Investment Managers, in partnership with HEC Paris, will introduce you to the most important ideas and concepts in investment management, to help you better understand your financial future. This course will enable you to: • Define what type of investor you are, your investment objectives, and potential constraints.
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Course by
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Self Paced
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18 hours
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English
Planning your Client's Wealth over a 5-year Horizon
In this Capstone project, you will have to choose between three different characters (each with a unique set of financial constraints and objectives) and design an appropriate wealth plan for them over the next 5 years. You will have to use the knowledge you gained in each of the four preceding courses to reach that objective.
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Course by
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Self Paced
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13 hours
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English
Advanced Portfolio Construction and Analysis with Python
The practice of investment management has been transformed in recent years by computational methods. 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.
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Course by
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Self Paced
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12 hours
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English
The Fundamental of Data-Driven Investment
In this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day. Additionally, the study note to do using Python programming will be provided. The course is designed with the assumption that most students already have a little bit of knowledge in financial economics.
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Course by
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Self Paced
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19 hours
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English