课程信息
4.6
3,185 个评分
655 个审阅
专项课程

第 1 门课程(共 5 门),位于

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为10 小时

建议:4 weeks of study, 1-3 hours/week...
可选语言

英语(English)

字幕:英语(English), 俄语(Russian)...

您将获得的技能

ModelingLinear RegressionProbabilistic ModelsRegression Analysis
专项课程

第 1 门课程(共 5 门),位于

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为10 小时

建议:4 weeks of study, 1-3 hours/week...
可选语言

英语(English)

字幕:英语(English), 俄语(Russian)...

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 2 小时

Module 1: Introduction to Models

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....
Reading
7 个视频(共 72 分钟), 1 个阅读材料, 1 个测验
Video7 个视频
1.2 Definition and Uses of Models, Common Functions14分钟
1.3 How Models Are Used in Practice10分钟
1.4 Key Steps in the Modeling Process7分钟
1.5 A Vocabulary for Modeling8分钟
1.6 Mathematical Functions20分钟
1.7 Summary4分钟
Reading1 个阅读材料
PDF of Lecture Slides10分钟
Quiz1 个练习
Module 1: Introduction to Models Quiz20分钟
2
完成时间(小时)
完成时间为 2 小时

Module 2: Linear Models and Optimization

This module introduces linear models, the building block for almost all modeling. Through close examination of the common uses together with examples of linear models, you’ll learn how to apply linear models, including cost functions and production functions to your business. The module also includes a presentation of growth and decay processes in discrete time, growth and decay in continuous time, together with their associated present and future value calculations. Classical optimization techniques are discussed. By the end of this module, you’ll be able to identify and understand the key structure of linear models, and suggest when and how to use them to improve outcomes for your business. You’ll also be able to perform present value calculations that are foundational to valuation metrics. In addition, you will understand how you can leverage models for your business, through the use of optimization to really fine tune and optimize your business functions. ...
Reading
6 个视频(共 69 分钟), 1 个阅读材料, 1 个测验
Video6 个视频
2.2 Growth in Discrete Time7分钟
2.3 Constant Proportionate Growth12分钟
2.4 Present and Future Value15分钟
2.5 Optimization13分钟
2.6 Summary2分钟
Reading1 个阅读材料
PDF of Lecture Slides10分钟
Quiz1 个练习
Module 2: Linear Models and Optimization Quiz20分钟
3
完成时间(小时)
完成时间为 2 小时

Module 3: Probabilistic Models

This module explains probabilistic models, which are ways of capturing risk in process. You’ll need to use probabilistic models when you don’t know all of your inputs. You’ll examine how probabilistic models incorporate uncertainty, and how that uncertainty continues through to the outputs of the model. You’ll also discover how propagating uncertainty allows you to determine a range of values for forecasting. You’ll learn the most-widely used models for risk, including regression models, tree-based models, Monte Carlo simulations, and Markov chains, as well as the building blocks of these probabilistic models, such as random variables, probability distributions, Bernoulli random variables, binomial random variables, the empirical rule, and perhaps the most important of all of the statistical distributions, the normal distribution, characterized by mean and standard deviation. By the end of this module, you’ll be able to define a probabilistic model, identify and understand the most commonly used probabilistic models, know the components of those models, and determine the most useful probabilistic models for capturing and exploring risk in your own business....
Reading
12 个视频(共 83 分钟), 1 个阅读材料, 1 个测验
Video12 个视频
3.2 Examples of Probabilistic Models2分钟
3.3 Regression Models4分钟
3.4 Probability Trees5分钟
3.5 Monte Carlo Simulations6分钟
3.6 Markov Chain Models6分钟
3.7 Building Blocks of Probability Models9分钟
3.8 The Bernoulli Distribution7分钟
3.9 The Binomial Distribution16分钟
3.10 The Normal Distribution5分钟
3.11 The Empirical Rule7分钟
3.12 Summary2分钟
Reading1 个阅读材料
PDF of Lecture Slides10分钟
Quiz1 个练习
Module 3: Probabilistic Models Quiz20分钟
4
完成时间(小时)
完成时间为 2 小时

Module 4: Regression Models

This module explores regression models, which allow you to start with data and discover an underlying process. Regression models are the key tools in predictive analytics, and are also used when you have to incorporate uncertainty explicitly in the underlying data. You’ll learn more about what regression models are, what they can and cannot do, and the questions regression models can answer. You’ll examine correlation and linear association, methodology to fit the best line to the data, interpretation of regression coefficients, multiple regression, and logistic regression. You’ll also see how logistic regression will allow you to estimate probabilities of success. By the end of this module, you’ll be able to identify regression models and their key components, understand when they are used, and be able to interpret them so that you can discuss your model and convince others that your model makes sense, with the ultimate goal of implementation....
Reading
8 个视频(共 70 分钟), 1 个阅读材料, 1 个测验
Video8 个视频
4.2 Use of Regression Models15分钟
4.3 Interpretation of Regression Coefficients4分钟
4.4 R-squared and Root Mean Squared Error (RMSE)12分钟
4.5 Fitting Curves to Data8分钟
4.6 Multiple Regression7分钟
4.7 Logistic Regression8分钟
4.8 Summary of Regression Models4分钟
Reading1 个阅读材料
PDF of Lecture Slides10分钟
Quiz1 个练习
Module 4: Regression Models Quiz20分钟
4.6
职业方向

35%

完成这些课程后已开始新的职业生涯
工作福利

83%

通过此课程获得实实在在的工作福利
职业晋升

11%

加薪或升职

热门审阅

创建者 SCJun 4th 2018

Course is having ultimate content regarding the understanding of Quantitative modeling and its applications. Having great explanation with examples of linear, power, exponential and log functions.

创建者 NMJul 23rd 2017

Very good background to quantitative modelling. It gets a bit heavy on the mathematical formulas in places, but if you follow through, it helps cement understanding. Good speed/pace of material.

讲师

Avatar

Richard Waterman

Professor of Statistics
Statistics-Wharton School

关于 University of Pennsylvania

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

关于 Business and Financial Modeling 专项课程

Wharton's Business and Financial Modeling Specialization is designed to help you make informed business and financial decisions. These foundational courses will introduce you to spreadsheet models, modeling techniques, and common applications for investment analysis, company valuation, forecasting, and more. When you complete the Specialization, you'll be ready to use your own data to describe realities, build scenarios, and predict performance....
Business and Financial Modeling

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