In markets, prices act as rationing devices, encouraging or discouraging production and consumption to find an equilibrium. In this course, you will learn to construct demand curves to capture consumer behavior and supply curves to capture producer behavior. The resulting equilibrium price “rations” the scarce commodity. Additionally, the course examines the ways in which markets are subject government intervention and the impacts of these interventions.

You will be able to: • Explain how different market structures result in different resource allocations • Model the impact of external shocks to a particular market structure and demonstrate the new equilibrium price and quantity after the impact of this external shock has played out • Evaluate the efficiency of an equilibrium • Explain when and why the government might intervene with regulatory authority or antitrust litigation to lessen inefficiencies in some markets • Describe how information problems can cause inefficient outcomes • Understand externalities and consider optimal government response to these market failures This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.

This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will learn how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.

While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from different disciplines, allowing you to see the use of statistics in a range of settings. The course will focus not only on explaining these concepts, but also understanding and interpreting the results obtained. You will be able to: • Summarize large data sets in graphical, tabular, and numerical forms • Understand the significance of proper sampling and why one can rely on sample information • Understand why normal distribution can be used in a wide range of settings • Use sample information to make inferences about the population with a certain level of confidence about the accuracy of the estimations • Use Excel for statistical analysis This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.

This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. To this end, the course aims to cover statistical ideas that apply to managers by discussing two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations. The fundamental concepts studied in this course will reappear in many other classes and business settings. Our focus will be on interpreting the meaning of the results in a business and managerial setting.

While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through use of Excel and using data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts but also understanding the meaning of the results obtained. You will be able to: • Test for beliefs about a population • Compare differences between populations • Use linear regression model for prediction • Use Excel for statistical analysis This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.

The purpose of this course is to provide you with a basic understanding of the connections between money, the financial system, and the broader macroeconomy. We will examine the economics of modern financial institutions (e.g. banks), including how they are organized, the products and financial services they offer, the risks they take, why and how they are regulated, and how this has changed over time. We will develop a conceptual framework that will allow us to assess how recent financial regulations as well as innovations in finance (e.g., securitization, fintech, cryptocurrencies) may influence the macroeconomic, financial, and business environment.

The purpose of this course is to provide you with an understanding of central bank policies and how such policies affect financial markets and the economy. The main aim of this course is to provide you with insights about the macroeconomic relationships between interest rates, inflation, and unemployment that allow you to assess central bank actions and appreciate how this action will affect the economy. The ability to extract relevant information from financial market and economic data about the macroeconomic environment and central bank actions is an important skill that will be useful for your decision-marking in your professional career and your personal financial choices.