This course focuses on adopting and implementing a financially analytic mindset when engaged in organizational decision-making and scenario analysis. The course begins with an overview of the "internal" perspective of the organization, in which you will learn fundamental concepts, including the importance of how cost information is organized for different decision scenarios. You will then learn about scenario analysis, including cost-volume-profit analysis and other fundamental concepts that help facilitate financial organizational decision-making. Next, you will learn about planning and budgeting, a key function that allows organizations to identify and allocate resources necessary to achieve organizational goals. You will then learn how to assess actual performance against these budgets using variance analysis. Finally, you will learn about the organization’s performance measurement, evaluation, and compensation system. Specifically, you will learn about the advantages and disadvantages of common financial performance measures and understand how an organization uses non-financial performance measures within its strategic performance measurement system to complement the financial perspective.

In this course, we’ll introduce students with basic knowledge of traditional financial products to data-driven resources they can use to complement their fundamental analysis. We’ll also highlight certain deceptive marketing practices that can paint a rosier picture of addressing ESG-related concerns than may actually be the case. Moreover, many corporations appear to be growing increasingly aware of the values of the millennial generation, who, according to some industry surveys, appear to account for the vast majority of those who cite ESG as a central goal in their investment plans. We’ll dive more deeply into these topics, and through a series of video, webinar, and reading modules, among other objectives, you’ll learn to explain how Big Data and artificial intelligence may be used for actionable accountability, and describe inherent challenges in data analysis, as well as differentiate between different forms of deceptive business practices, including green washing, social washing, and pink washing, You’ll also be able to provide insights about how millennial, and younger, investors’ interests may be driving increased attention on ESG investing.

Hi and welcome to this course! Would you like to learn about the latest valuation methods that may help you to make better business decisions? Then 'Advanced Valuation and Strategy – M&A, Private Equity, and Venture Capital' by Erasmus University Rotterdam is the right course for you! This course is helpful for executives that need to value complete strategies and for all students interested in corporate finance and strategy. We present the latest tools and show you how to apply them! We will revolutionize your way of decision making, by extending static techniques from corporate finance with dynamic methods to quantify strategic thinking. Traditionally, we assess the attractiveness of an investment as a mature business, where future cash flows mainly result from past decisions. But, in an ever-changing world, strategic decisions determine the firm’s long-term success and market value. Yet managers often have to consider these long-term implications using intuition and experience alone, with little guidance from structured, quantitative analysis. Our treatment goes far beyond the use of standard valuation analysis. We introduce the expanded NPV, which brings together DCF, real options, and game theory. Thinking in terms of options, games, and adaptive strategies may help managers address strategic questions such as: How do you value a leveraged buyout? How can you value a high-tech venture with negative cash flows? When should you invest in new ventures in stages? How can you incorporate rival bidders in the analysis? The tools we provide can improve your decisions in business and in daily life. * Who is this class for? We hope that our course appeals to (graduate) students in finance, economics, and business, as well as to high-ranking professionals and a general audience. This course is particularly interesting for venture capitalists, private equity investors, investment bankers, CEOs, CFOs, and those who aspire these affiliations. We offer this MOOC at 3 levels: 1.Executive Summary: This 1-week module provides critical insights into the principles of corporate valuation and strategy. This is accessible for time-constrained executives and the general audience without any prior knowledge. 2. Student Level: This level involves an understanding of the technical details. This level requires basic knowledge of concepts in corporate finance, e.g., the time value of money, financial statement analysis, capital structure, and the relation between risk and returns. Learners of this level can skip week 1. 3. Honors Level (honors certificate): This level is challenging, engaging, and compelling to an intellectually rigorous student.

In this course, we’ll introduce you to the foreign currency market, including who participates in it and some of their reasons for doing so. You’ll also gain an understanding of the complex nature of certain trading products, as well as some of the risks investors typically face. We’ll also explore the use of margin in your account and provide you with a case study, showing how to invest in the stock of a non-domestic company listed on a foreign exchange, as well as guide you through entering an overseas trade on an online trading platform. By the end of this course, you should gain a broad overview of the foreign exchange market, understand certain major currency products, and acquire some practical skills that will help you to dive-in and make trades on your own.

This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading. By the end of the course, you will be able to design basic quantitative trading strategies, build machine learning models using Keras and TensorFlow, build a pair trading strategy prediction model and back test it, and build a momentum-based trading model and back test it. To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL is recommended. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging).

**You should complete all other courses in the Fundamentals of Accounting Specialization before beginning this course.** The capstone project will be set in the context of a realistic small-business enterprise, and will require you to think deeply and apply the accounting concepts presented in the other courses in the Fundamentals of Accounting. While navigating the daily operations of the business, you will have an opportunity to consider the accounting implications of the economic events encountered, as well as how these economic events should be communicated to decision makers. If you enjoy this business course and are interested in an MBA, consider applying to the iMBA, a flexible, fully-accredited online MBA at an incredibly competitive price offered by the University of Illinois. For more information, please see the Resource page in this course and onlinemba.illinois.edu.

In this course, you will use business and industry analysis to understand companies, projects, business models, and financing proposals. You will then prepare qualitative risk analysis for specific companies to use as the basis for financial analysis, project analysis, and risk decisions. Lastly, you will understand how to use financial ratios and financial metrics to evaluate a company or project’s profitability, balance sheet, capital structure, and cash flow to assess overall financial performance and risk profile.

In this 1 hour long project, you will build an attractive and eye-catching personal stock dashboard that is able to fetch the prices of stocks and cryptocurrencies in real-time. We will be using one of the best finance APIs to fetch real-time stock prices. We will begin by importing relevant financial data using the finance API. We will import two different data: one for stock summary and another for historical prices. We will then create our dashboard. In the final tasks, we will automate the dashboard so that you can get live prices and data for any of your favourite stocks or cryptocurrencies within a few seconds. By the end of this course, you will be confident in importing financial data using finance API, creating dashboards and live tracking of all of your favourite stocks in real-time using Power BI.

Finance for Everyone: Decisions will introduce you to the workings of the free markets and the foundations of finance. You will learn how free markets and their “creative destruction” provide the architecture for the global economy and how those same markets move money in ways that create and destroy wealth. Your financial toolkit will include timeless concepts like compounding, discounting, annuities, effective interest rates, and more. You will also learn how to simplify important financial calculations and apply that knowledge to real-life decisions that can influence everything from how you pay for your car to where you live. Through peer review you will publish your view on an issue important to you. You will also discover how your applied decisions connect to bigger questions relating to changing market conditions as you prepare for the second course in F4E: Markets.

By the end of this project, you will be able to build a basic budget using Google Sheets. You will use a template to add, delete, edit, and format a budget to meet the needs of your personal or professional goals. You will be able to read the summary tab, share the budget, and create permissions for others to access, format the charts, and use conditional formatting. You will also be able to take the Google Sheets Budget and put it into presentable files. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.