EDHEC Business School Courses

Science and Engineering of Climate Change

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeGlobal warming is one of the most significant challenges of the century and tackling it in the most effective way requires a good understanding of its physical, social and financial aspects. The Science and Engineering of Climate Change course offers an introduction to the science of climate change and to the existing technologies to mitigate its effects.Are we sure that the climate is changing? How confident are we that climate change is anthropogenic? Are we heading for a climate catastrophe? Why are greenhouse gases associated with global warming? What options do we have to cope with these facts? Which of the many proposals are realistic, and which are just wishful thinking? By the end of this course, you will have the necessary conceptual tools to provide your own answers to these questions.This MOOC is divided into four modules. With the first two you will understand how scientists measure climate and its evolution, how climate models work and how greenhouse gases within the atmosphere play a central role in determining the climate. The last two modules introduce the main technologies that can be used to reduce carbon emissions and carbon concentration in the atmosphere, and, in the light of the facts explained in the first part of the course, explain how these technologies can be best combined.The MOOC is for those who want to understand not only the basics of climate-change science, but also what we can really and effectively do to curb the present trend in the planet’s temperatures. No previous knowledge is required.

Introduction to Portfolio Construction and Analysis with Python

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe 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. This course is the first in a four course specialization in Data Science and Machine Learning in Asset Management but can be taken independently. In this course, we cover the basics of Investment Science, and we'll build practical implementations of each of the concepts along the way. We'll start with the very basics of risk and return and quickly progress to cover a range of topics including several Nobel Prize winning concepts. We'll cover some of the most popular practical techniques in modern, state of the art investment management and portfolio construction. As we cover the theory and math in lecture videos, we'll also implement the concepts in Python, and you'll be able to code along with us so that you have a deep and practical understanding of how those methods work. By the time you are done, not only will you have a foundational understanding of modern computational methods in investment management, you'll have practical mastery in the implementation of those methods.

Investment Management with Python and Machine Learning

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe 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.

Python and Machine Learning for Asset Management

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis 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. Starting from the basics, they will help you build practical skills to understand data science so you can make the best portfolio decisions.The course will start with an introduction to the fundamentals of machine learning, followed by an in-depth discussion of the application of these techniques to portfolio management decisions, including the design of more robust factor models, the construction of portfolios with improved diversification benefits, and the implementation of more efficient risk management models. We have designed a 3-step learning process: first, we will introduce a meaningful investment problem and see how this problem can be addressed using statistical techniques. Then, we will see how this new insight from Machine learning can complete and improve the relevance of the analysis.You will have the opportunity to capitalize on videos and recommended readings to level up your financial expertise, and to use the quizzes and Jupiter notebooks to ensure grasp of concept.At the end of this course, you will master the various machine learning techniques in investment management.

The Finance of Climate Change

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe urgent transition towards a low-carbon economy will profoundly change our economy. Households, companies and financial intermediaries have to be ready in order to avoid the downside risks and seize the opportunities created by climate change. The Finance of Climate Change MOOC will explain (i) how climate change and the policies aimed to mitigate it will impact the different businesses and (ii) the means and tools at the disposal of companies, banks and investors to be part of this transition.What is the shadow price of carbon? What makes a bond green? How can investors steer the decarbonization of a company? How can we make sure that a company is making real efforts to make its business model climate-resilient and not just greenwashing? These are some of the questions that will be addressed in this MOOC.This MOOC covers the financial risks and opportunities of climate change and how companies can finance their green transition, for example by issuing green securities. You will also learn how financial intermediaries address climate change risks and why central banks are concerned about climate change.This MOOC is for those who wish to understand the finance of climate. It is not necessary to have specialized prior knowledge, apart from basic familiarity with accounting and financial concepts such as discounted cash flows. We do suggest, however, taking the first and second MOOC of this specialization before starting this one in order to gain a simple but solid understanding of the science and economics aspects of climatic changes.

Advanced Portfolio Construction and Analysis with Python

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe 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. In this course, we cover the estimation, of risk and return parameters for meaningful portfolio decisions, and also introduce a variety of state-of-the-art portfolio construction techniques that have proven popular in investment management and portfolio construction due to their enhanced robustness.As we cover the theory and math in lecture videos, we'll also implement the concepts in Python, and you'll be able to code along with us so that you have a deep and practical understanding of how those methods work. By the time you are done, not only will you have a foundational understanding of modern computational methods in investment management, you'll have practical mastery in the implementation of those methods. If you follow along and implement all the lab exercises, you will complete the course with a powerful toolkit that you will be able to use to perform your own analysis and build your own implementations and perhaps even use your newly acquired knowledge to improve on current methods.

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

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeOver-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. This course introduces the core concepts around alternative data, the most recent research in this area, as well as practical portfolio examples and actual applications. The approach of this course is somewhat unique because while the theory covered is still a main component, practical lab sessions and examples of working with alternative datasets are also key. This course is fo you if you are aiming at carreers prospects as a data scientist in financial markets, are looking to enhance your analytics skillsets to the financial markets, or if you are interested in cutting-edge technology and research asthey apply to big data. The required background is: Python programming, Investment theory , and Statistics. This course will enable you to learn new data and research techniques applied to the financial markets while strengthening data science and python skills.

Climate Aware Investing

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeFinance may have a central role to play against climate change on the condition that risks are properly measured and managed. In this course you will be introduced to the latest academic research findings and the most commonly used methods in industry to cope with climate change financial risks.How do we assess these kinds of risks? Can our portfolios perform well and at the same time contribute to the transition towards a low-carbon economy? How do climate change risks affect financial markets?This course starts with an overview of climate change and the tools at the disposal of policymakers to curb this phenomenon. These tools, when used to their fullest extent, will have a big impact on businesses and this impact may spill over into the financial markets even before the policies are fully implemented. The risks associated with these changes are grouped under the definition of transition risks. In this MOOC we will analyse these risks and also discuss the methodologies most widely used by asset managers to manage their portfolios’ carbon exposure. The final module of this course shows a real-world example of implementation. At the end of the course, you will understand how to maximize the contribution of your investments to the fight against climate change.

Introduction to EdTech

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeCo-developed by Supercharger Ventures and EDHEC Business School.EdTech, short for Education Technology, is one of the most exciting sectors in the economy today poised to re-shape how education systems work and how people learn around the world. Introduction to EdTech MOOC is designed to explore EdTech fundamentals and build the foundational knowledge for educators, institutions, entrepreneurs and governments to appreciate the impact and potential of new tools, technologies, business models and learning methods in education. In this course, through a series of video lectures, expert interviews, case studies, and assessments you will learn about the major areas of EdTech including Alternative & Digital Education, Hybrid Learning, Challenger Universities, Learning Apps, How Institutions can apply EdTech, as well as, the core technologies driving EdTech including Artificial Intelligence (AI), Data and AR/VR. You will learn from from leading academics and global experts who will share real-life examples about the innovations, technology and policies driving the transformation of education.

Global Financing Solutions (by EDHEC and Société Générale)

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe MOOC Global Financing Solutions is your online gateway to better understanding of the dynamics of Finance, and its role at the very heart of promoting the “real economy” and global growth. Concretely, you will learn how companies finance themselves using banks and capital markets. We will look at the role of syndication, and how it links issuers looking to raise capital to grow their businesses with investors looking to manage their assets and possibly liabilities. The role of banks in wider society will also be explored, from helping airlines to lease aircraft to transport people, to financing roads and bridges that help promote transport and trade, to funding renewable sources energy such as wind or solar farms, right through to explaining the role of export finance, and the pivotal role exporting countries governments’ play, in promoting the movement of goods worldwide. We will showcase the lifecycle of commodities, from exploration, to processing and refining, to how banks facilitate the global trade of products ranging from oil and gas, to agriculture products, to everyday items such as fruits or beans. We will also look at the exciting world of acquisition finance and leverage buy-outs, enabling strategic moves for our key clients, as well as securitization, the repackaging of debt, and hedging, especially important as a mean to protect corporate companies against rate or price fluctuations. The collaboration between Societe Generale and EDHEC Business School builds on a long-standing partnership based on one common objective: to provide future talents with access to information and expertise that enables them to grow. Through this MOOC, we are taking an innovative approach to learning by providing you with the theoretical basics of finance, thanks to the expertise of EDHEC as one of the world’s foremost business schools in Finance, and combining it with practical insights of business experts from Societe Generale, widely regarded as a global leader in Structured Finance, to show how the theory is put into practice.

Economics and Policies of Climate Change

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeBeing aware of the urgency and importance of climate change is not enough to tackle it effectively. To avoid the worst climate outcomes, decisive action has to be taken. But what realistic options do we have? Since our resources are limited, is it better to act now or wait until we have more advanced and less expensive technology? How big do our abatement efforts have to be?This MOOC will help you understand how economists try to answer these questions and find the optimal course of action. Most important, it will give you the conceptual tools to draw your own conclusions.In the first part of the MOOC, you will learn about the two main approaches used by economists to determine when and how much we should invest in the fight against climate change. The first method is the net-present-value approach. Here the social discount rate plays a central role in determining optimal policy, by showing how future benefits and costs can be compared and made comparable (‘present-valued’) with expenditures today. In thesecond approach you will learn how Integrated AssessmentModels (IAMs) work. In particular, you will study in detail the strengths and weaknesses of one of the most popular IAMs, the DICE model, developed by Nobel laureate Professor Nordhaus. This model tries to figure out the optimal course of action by providing a simplified account of the science, the technology and the economics of the problem.The second part of this MOOC then explores the different types of economic policies that decision-makers can adopt. You will be introduced to different methods used to control emissions, such as carbon taxes, regulations and standard-setting. You will also learn about the most developed emissions trading markets around the world and their effects on the economy.This MOOC is for those who wish to understand the economics of climate change and use this understanding to form their own informed opinion about the policies on which we can rely to tackle it. It is not necessary to have specialized prior knowledge, apart from basic familiarity with economic concepts such as utility functions. We do suggest, however, taking the first MOOC of this specialization before starting this one in order to gain a simple but solid understanding of the physical and technological aspects of the problems.