Statistical Inference is the process by which data is used to draw a conclusionoruncover ascientific truthabout a population from asample. This course aims to familiarize the student with several ideas and instruments for statistical inference. It covers fundamental concepts and properties of probability. Specifically, youwill learn to work with sequences of successes and failures using the binomial formula. You will also learn how the law of averages can be used, as well as how to understand stochastic processes by applying box models. The normal approximation for probability histogram, which is an essential idea for statistical inference, will be discussed in depth in this course.

The learners will gain insights on the essential elements of the process adopted by Banks for Credit Risk Management. To understand the challenges posed and will be equipped with necessary knowledge. The Course further ventures into major domains of Credit Risk Management; like Selection of borrower, Reading Financial statements, using Financial Management tools e. g. Ratio Analysis, Fund Flow analysis, Cash flow Analysis. The Course discusses on various tools, practices, models related to Credit. It will also be of value to existing bankers who want to understand the various facets of Credit Risk Management and aspire to be a Credit Analyst or Credit Underwriter.

In this online course on Macroeconomic Management in Resource-Rich Countries (MRCx), you will learn about macroeconomic policy issues and challenges that confront resource-rich countries (RRCs). Natural resources such as oil, gas, and minerals, can make a significant difference to a country’s exports and economic growth. Being rich in natural resources has allowed some countries to accumulate large financial assets abroad, enabling them to invest in schools, hospitals, and roads to promote growth and diversification. However, natural resources come with challenges too. In addition to the reality that these resources will eventually run out, policy-makers must cope with the volatility of prices. A diverse and knowledgeable set of instructors from the IMF and its partners analyze experiences of many resource-rich countries; from Africa to Central Asia, Latin America, and the Middle East and share insights that are applicable worldwide. The course offers a variety of learning tools to help you analyze policy challenges and issues facing RRCs and show how you may apply these to your country. MRCx is offered by the IMF with financial support from the Managing Natural Resource Wealth Thematic Fund (MNRW). The IMF’s online learning program receives financial support from the Government of Japan.

This course is an introduction to basic concepts governing the operation of the microeconomy, with specific emphasis placed on understanding microeconomic theory, policy, and issues as they relate to business decision-making. Students successfully completing this course will be able to comprehend the workings of the supply and demand model from both a graphical and mathematical perspective, explain the role that elasticity plays in the supply and demand model and know how to calculate and interpret various elasticities, understand utility maximization and the theory of consumer behavior, explain how cost structures differ in the short run and the long run, analyze various market structures in terms of their economic performance, and understand the workings of the various factor markets.

Our present system of global capitalism is flawed. While it has produced immense wealth and economic growth in nearly all regions of the world, it has also prioritized profits over people and harmful consumption practices over the needs of our planet. Sustainable development must bring about a new world order to replace the vices of global capitalism, ensuring development, human wellbeing, and environmental security. This course presents Agenda 2030 and the Sustainable Development Goals as the necessary successor to laissez faire-style capitalism, and emphasizes the urgency of embracing sustainable development objectives to transform our economy into a more reactive, efficient, inclusive, and environmentally-conscious system. This 8-week massive open online course (MOOC) provides an in-depth look at the shortcomings of our current and past global economies, and shows why and how sustainable development has become the universally-prioritized agenda for the future of our world. The topics covered range from market economics to education, gender equality, international trade, financing, and more. This course is for: Policy professionals who want to understand frameworks for SDG planning Development practitioners seeking information on goals-based development Advanced undergraduates and graduate students interested in economics, development, and other key concepts related to the SDGs

National economies have grown substantially since the Industrial Revolution of the 19th century yet people have not necessarily seen an increase in opportunities to find decent work or earn a decent income. In fact, in some places, the increased productivity and rising profits associated with automation have directly impacted the availability of decent jobs. According to the International Labour Organization, more than 204 million people were unemployed in 2015, and more than 600 million new jobs are needed by 2030 just to keep pace with the growth of the working-age population. We also need to improve working conditions for the 780 million women and men who are employed but not earning enough to lift themselves and their families out of poverty. In addressing these core issues we will not only see increasing decent work opportunities but also more robust, inclusive and poverty-reducing growth. This course explores the past and future of work in the context of the SDGs, particularly SDG 8: Decent Work and Economic Growth. It examines the state of income and employment around the world, barriers to employment, policies to promote economic opportunity, and the future of work in our rapidly changing world. Encouraging entrepreneurship and job creation are key to achieving the SDGs, as are effective measures to eradicate forced labour, slavery and human trafficking. With these targets in mind, the world can achieve full and productive employment and decent work, for all women and men, by 2030. This seven-module massive open online course (MOOC) provides an in-depth look at the issues of inclusive and sustainable economic growth, full and productive employment, and decent work for all. The topics covered include structural shifts in economies and work; informality, gender and child labor, the modern welfare state; the future of work, and more. The course concludes with a special module by the ILO on realizing decent work for all and achieving SDG 8. This course is for: Policy professionals who want to understand frameworks for SDG planning Development practitioners seeking knowledge on goals-based development Advanced undergraduates and graduate students interested in economics, development, and other key concepts related to the SDGs

FinTech has started a global revolution in the financial services industry, and the transformation will only increase in coming years. There are many ways in which FinTech can improve the lives of people around the world; however, those same technologies can also be used to enslave, coerce, track, and control people. Accordingly, it is appropriate and necessary to consider the implications of the introduction of these technologies so that they are utilized properly, regulated sufficiently, and their adoption does not come at the expense of societal growth. This 6-week online coursecovers 6 modules, representing the full spectrum of finance, technology, and the introduction of FinTech solutions globally. We will ask questions that are not often asked or addressed when new technologies are adopted. Why should we adopt FinTech solutions, and what are the best ways to introduce disruptive technologies? How does blockchain technology change the way we provide financial services, and how should blockchain technology be governed? Is FinTech creating risks in cybersecurity and how can technology help us prevent financial crimes? As Artificial Intelligence (AI) is developed and adopted, will human biases and prejudices be built into such mechanisms? And at a larger scope, should FinTech lead to a decentralized, democratized system of finance, or will existing institutions adopt FinTech strategies to cement their existing hold on the financial markets? Through discussing and attempting to answer these questions, you will understand better how the introduction of these technologies can benefit or harm society. And through considering the proper application or introduction of such technologies, you will learn to make better decisions as an individual and organization when facing the question: is FinTech our savior or a villain?

Over the past couple of years, the Chinese government has finally started to open China’s financial system and its equity and bond markets to the outside world. Onshore assets are now part of the main global and emerging market indices. But most investors openly admit they are putting money to work in a market they mistrust and do not understand well enough. In this course you will learn how China’s financial markets truly work. You will see how its state-owned commercial banks control the flow of domestic savings and how Chinese companies became the global leader in mobile payments. You will understand the nature of the Chinese stock market and the Chinese bond market, how Chinese investors trade and what the driving forces of these markets are. Foreign investors will learn how to recognise investment opportunities and guard against the idiosyncratic risks. You will understand the role of the State Council, the People’s Bank of China – its central bank, and the Ministry of Finance – its Treasury, in setting monetary policy, interest and foreign exchange rates and supervising China’s banking system and financial institutions. Unbiased analysis, real-life examples and practical guidance will equip you with the analytical frameworks and tools to apply to your investment decisions, risk assessments or policymaking. You will learn directly from Enodo Economics’ team of experts, who together have over 250 years of experience focused on China’s economy, its politics and markets and its culture. We make use of our own bespoke online teaching videos that are produced to a high professional standard. The material, carefully tailored to bring to life the content of each course, includes interviews with relevant figures whose personal stories make real the concepts being taught. Imaginative visual aids and animation are designed to enhance the learning experience – and make it fun.

In this macroeconomics course, you will learn to predict macroeconomic variables such as inflation, growth or consumption, and to create statistical models in economics and use them to predict responses to economic policy. You will learn from hands-on demonstrations of model-building, forecasting and policy analysis, using data sets from a wide variety of countries. Demonstrations and applications will be conducted using EViews —a popular software for estimating and simulating forecasting models on Windows. Free, temporary licenses for EViews will be made available for the duration of the course. Macroeconometric Forecasting is offered by the IMF with financial support from the Government of Japan.

In this course, you will learn about sample surveys with the concepts of samples and populations. In addition, we will discuss possible problems(bias) of the surveys based on practical examples and concept of probability errors in sampling. This course will familiarize you with statistical inference, the process by which data is used to draw a conclusion or uncover a scientific truth about a population from a sample. You can learn how to obtain confidence intervals and estimate the population percentage using sample percentage. We will also cover statistical inferences using sample average to estimate the population average with the concept of standard error and measurement error. Finally, you will learn fundamental idea and process of significance test to determine whether the observed difference is real or simply accidental. Test for difference in average between two groups and Chi-Square test will be discussed in depth in this course.