Start Date: 07/05/2020
Course Type: Common Course |
Course Link: https://www.coursera.org/learn/wharton-quantitative-modeling
How can you put data to work for you? Specifically, how can numbers in a spreadsheet tell us about present and past business activities, and how can we use them to forecast the future? The answer is in building quantitative models, and this course is designed to help you understand the fundamentals of this critical, foundational, business skill. Through a series of short lectures, demonstrations, and assignments, you’ll learn the key ideas and process of quantitative modeling so that you can begin to create your own models for your own business or enterprise. By the end of this course, you will have seen a variety of practical commonly used quantitative models as well as the building blocks that will allow you to start structuring your own models. These building blocks will be put to use in the other courses in this Specialization.
In this module, you will learn how to define a model, and how models are commonly used. You’ll examine the central steps in the modeling process, the four key mathematical functions used in models, and the essential vocabulary used to describe models. By the end of this module, you’ll be able to identify the four most common types of models, and how and when they should be used. You’ll also be able to define and correctly use the key terms of modeling, giving you not only a foundation for further study, but also the ability to ask questions and participate in conversations about quantitative models.
Fundamentals of Quantitative Modeling In this course, you will learn the mathematical foundations of most of the most important modern quantitative models. You'll learn why most modern quantitative models are mathematically difficult, and how these difficulties can make it difficult to apply the most important insights. We'll focus on the main limiting assumptions in most modern models, and how these assumptions can introduce random errors. We'll also discuss how these errors can cause underperformance. We’ll also discuss how these errors can introduce "black swans" in order to amplify the impact of the model on the real world. We’ll also discuss how these errors can introduce "misalignments" in order to amplify the impact of the model on the real world. Lastly, we’ll discuss how these errors can introduce "feedbacks" in order to amplify the impact of the model on the real world. This course covers the following topics: * Linear equations and fundamental concepts of probability * Logistic regressions and basic concepts of normal distribution * Continuous integration and basic assumptions * The random variable calculus and the concept of random variables * The random variable test and the concept of random variables * The random variable model and the random variable test Learning Outcomes: After taking this course, you will be able to: * Calculate most important constraints in most modern linear models * Solve most important natural experiments * Identify most important random
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Fundamentals of Stack Gas Dispersion | Fundamentals of Stack Gas Dispersion is a book devoted to the fundamentals of air pollution dispersion modeling of continuous, buoyant pollution plumes from stationary point sources. The first edition was published in 1979. The current fourth edition was published in 2005. |
Quantitative psychology | Quantitative psychology is a field of scientific study that focuses on the mathematical modeling, research design and methodology, and statistical analysis of human attributes and psychological processes. Quantitative psychologists research traditional and novel methods of psychometrics, a field of study concerned with the theory and technique of psychological measurement. At a general level, quantitative psychologists help create methods for all psychologists to test their hypotheses. |
Quantitative ecology | Quantitative ecology is the application of advanced mathematical and statistical tools to any number of problems in the field of ecology. It is a small but growing subfield in ecology, reflecting the demand among practicing ecologists to interpret ever larger and more complex data sets using quantitative reasoning. Quantitative ecologists might apply some combination of deterministic or stochastic mathematical models to theoretical questions or they might use sophisticated methods in applied statistics for experimental design and hypothesis testing. Typical problems in quantitative ecology include estimating the dynamics and status of wild populations, modeling the impacts of anthropogenic or climatic change on ecological communities, and predicting the spread of invasive species or disease outbreaks. |
Quantitative psychology | Quantitative psychologists generally have a main area of interest. Notable research areas in psychometrics include item response theory and computer adaptive testing, which focus on education and intelligence testing. Other research areas include modeling psychological processes through time series analysis, such as in fMRI data collection, and structural equation modeling, social network analysis, human decision science, and statistical genetics. |
Financial modeling | In quantitative finance, "financial modeling" entails the development of a sophisticated mathematical model. Models here deal with asset prices, market movements, portfolio returns and the like. A general distinction is between: |
The Fundamentals of Caring | On December 7, it was announced that the original title, "The Revised Fundamentals of Caregiving", had been changed to "The Fundamentals of Caring". It was later revealed Bobby Cannavale and Frederick Weller had been cast in the film. |
Fundamentals of Engineering Examination | NCEES allows only the following calculators to be used on the Fundamentals of Engineering Exam: |
Quantitative psychology | Universities with a mathematical focus include McGill University's "Quantitative Psychology and Modeling" program and Purdue University's "Mathematical and Computational Cognitive Science" degrees. Students with an interest in modeling biological or functional data may go into related fields such as biostatistics or computational neuroscience. |
The Fundamentals | The Fundamentals: A Testimony To The Truth (generally referred to simply as The Fundamentals) is a set of 90 essays published from 1910 to 1915 by the Bible Institute of Los Angeles. "The Fundamentals" were edited by A. C. Dixon and later by Reuben Archer Torrey. "The Fundamentals" was first published as a 12-volume set, and later as a four-volume set retaining all 90 essays. Baker Books reprinted all four volumes under two covers in 2003. The 90 essays were written by 64 different authors, representing most of the major Protestant Christian denominations. |
Quantitative analyst | A typical problem for a statistically oriented quantitative analyst would be to develop a model for deciding which stocks are relatively expensive and which stocks are relatively cheap. The model might include a company's book value to price ratio, its trailing earnings to price ratio, and other accounting factors. An investment manager might implement this analysis by buying the underpriced stocks, selling the overpriced stocks, or both. Statistically oriented quantitative analysts tend to have more of a reliance on statistics and econometrics, and less of a reliance on sophisticated numerical techniques and object-oriented programming. These quantitative analysts tend to be of the psychology that enjoys trying to find the best approach to modeling data, and can accept that there is no "right answer" until time has passed and we can retrospectively see how the model performed. Both types of quantitative analysts demand a strong knowledge of sophisticated mathematics and computer programming proficiency. |
The Fundamentals of Caring | The Fundamentals of Caring is a 2016 American comedy-drama film written and directed by Rob Burnett, based on the 2012 novel The Revised Fundamentals of Caregiving by Jonathan Evison and stars Paul Rudd, Craig Roberts and Selena Gomez. The film had its world premiere at the Sundance Film Festival on January 29, 2016 and was released by Netflix on June 24, 2016. |
Quantitative metathesis | This quantitative metathesis is more accurately described as one form of long-vowel shortening. Usually if quantitative metathesis affects a word, other kinds of shortening do as well, in the forms where quantitative metathesis cannot occur: |
Comparison of data modeling tools | This article is a comparison of data modeling tools which are notable, including standalone, conventional data modeling tools and modeling tools supporting data modeling as part of a larger modeling environment. |
Financial modeling | Financial modeling is the task of building an abstract representation (a model) of a real world financial situation. This is a mathematical model designed to represent (a simplified version of) the performance of a financial asset or portfolio of a business, project, or any other investment. Financial modeling is a general term that means different things to different users; the reference usually relates either to accounting and corporate finance applications, or to quantitative finance applications. While there has been some debate in the industry as to the nature of financial modeling—whether it is a tradecraft, such as welding, or a science—the task of financial modeling has been gaining acceptance and rigor over the years. Typically, financial modeling is understood to mean an exercise in either asset pricing or corporate finance, of a quantitative nature. In other words, financial modelling is about translating a set of hypotheses about the behavior of markets or agents into numerical predictions; for example, a firm's decisions about investments (the firm will invest 20% of assets), or investment returns (returns on "stock A" will, on average, be 10% higher than the market's returns). |
Systems modeling | And all other specific types of systems modeling, such as form example complex systems modeling, dynamical systems modeling, and critical systems modeling. |
List of quantitative analysts | This is a list of "notable" quantitative analysts (by "surname"); see also List of financial economists. |
Quantitative analyst | Quantitative analysis is used extensively by asset managers. Some, such as FQ, AQR or Barclays, rely almost exclusively on quantitative strategies while others, such as Pimco, Blackrock or Citadel use a mix of quantitative and fundamental methods. |
Quantitative easing | In November 2010, the Fed announced a second round of quantitative easing, buying $600 billion of Treasury securities by the end of the second quarter of 2011. The expression "QE2" became a ubiquitous nickname in 2010, used to refer to this second round of quantitative easing by US central banks. Retrospectively, the round of quantitative easing preceding QE2 was called "QE1". |
Fundamentals of Marxism–Leninism | Part One of Fundamentals covers materialist and idealist philosophy, the use of dialectics within materialist philosophy and its opposition to metaphysics, and develops a theory of knowledge, truth, necessity and human freedom. |
Quantitative research | In natural sciences and social sciences, quantitative research is the systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques. The objective of quantitative research is to develop and employ mathematical models, theories and/or hypotheses pertaining to phenomena. The process of measurement is central to quantitative research because it provides the fundamental connection between empirical observation and mathematical expression of quantitative relationships. |