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Predictive Modeling and Analytics · LearnSpace
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Predictive Modeling and Analytics

Курс от University of Colorado Boulder
Средний≈ 10.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Welcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. You’ll also learn how to summarize and visualize datasets using plots so that you can present your results in a compelling and meaningful way. We will use a practical predictive modeling software, XLMiner, which is a popular Excel plug-in. This course is designed for anyone who is interested in using data to gain insights and make better business decisions. The techniques discussed are applied in all functional areas within business organizations including accounting, finance, human resource management, marketing, operations, and strategic planning. The expected prerequisites for this course include a prior working knowledge of Excel, introductory level algebra, and basic statistics.

Навыки, которые вы освоите

Predictive ModelingLogistic RegressionModel EvaluationData CleansingRegression AnalysisExploratory Data AnalysisClassification AlgorithmsAdvanced AnalyticsBusiness AnalyticsApplied Machine LearningStatistical ModelingData-Driven Decision-MakingAnalyticsClassification And Regression Tree (CART)Statistical VisualizationData AnalysisPredictive AnalyticsData PresentationData Analysis SoftwareData Visualization

Программа курса

4 модулей · 49 учебных материалов

01 Exploratory Data Analysis and Visualizations14 материалов

Introduction

Course Updates and Accessibility SupportЧтениеIntroduction to the CourseВидео0. Introduction to the Module. Why Exploratory Data Analysis is ImportantВидео

Data Preprocessing

1. Data Cleanup and TransformationВидео

Учитесь у экспертов

Dan Zhang

Professor

Predictive Modeling and Analytics
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Обучение на Coursera

≈ 10.9 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Ория, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
2. Dealing With Missing ValuesВидео
3. Dealing with OutliersВидео
4. Adding and Removing VariablesВидео

Data Visualization

5. Common GraphsВидео6. What is Good Data Visualization?ВидеоData ExplorationОбсуждение

Assignments

Week 1 QuizЗаданиеRegister for Analytic Solver Platform for Education (ASPE)ЧтениеWeek 1 Application Assignment 1 (optional): Data CleanupЗаданиеWeek 1 Application Assignment 2: Data VisualizationВзаимная проверка
02Predicting a Continuous Variable11 материалов

Introduction

0. Introduction to Predictive ModelingВидео

Regression Techniques

1. Introduction to Linear RegressionВидео2. Assessing Predictive Accuracy Using Cross-ValidationВидео3. Multiple RegressionВидео4. Improving Model FitВидео5. Model SelectionВидео6. Challenges of Predictive ModelingВидео7. How to Build a Model using XLMinerВидеоReflection on Statistical TechniquesОбсуждение

Assignments

Week 2 QuizЗаданиеWeek 2 Application AssignmentЗадание
03Predicting a Binary Outcome11 материалов

Introduction

0. Introduction to classificationВидео

Logistic Regression

1. Introduction to Logistic RegressionВидео2. Building Logistic Regression ModelВидео3. Multiple Logistic RegressionВидео

Assessing and Improving Classification Models

4. Cross Validation and Confusion MatrixВидео5. Cost Sensitive ClassificationВидео6. Comparing Models Independent of Costs and CutoffsВидео7. Building Logistic Regression Models using XLMinerВидеоThe Best Prediction MethodОбсуждение

Assignments

Week 3 QuizЗаданиеWeek 3 Application AssignmentЗадание
04Trees and Other Predictive Models13 материалов

Introduction

0.Introduction to Advanced Predictive Modeling TechniquesВидео

Trees

1. Introduction to TreesВидео2. Classification TreesВидео3. Regression TreesВидео4. Bagging, Boosting, Random ForestВидео5. Building Trees with XLMinerВидео

Neural Networks

6. Neural NetworksВидео7. Building Neural Networks using XLMinerВидеоReflection: Trees & Neural NetworksОбсуждение

Assignments

Week 4 QuizЗаданиеWeek 4 Application AssignmentЗаданиеFinal Course Assignment Peer ReviewВзаимная проверкаFinal Course Assignment QuizЗадание