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Statistics with SAS

Курс от SAS
Средний≈ 20.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

Навыки, которые вы освоите

SAS (Software)Regression AnalysisStatistical Hypothesis TestingStatistical ModelingPredictive ModelingStatistical AnalysisLogistic RegressionProbability & StatisticsStatistical SoftwareStatistical ProgrammingPredictive AnalyticsStatistical MethodsModel EvaluationStatistical InferenceModel Training

Программа курса

8 модулей · 201 учебных материалов

01Course Overview and Data Setup7 материалов

Welcome

Welcome and Meet the InstructorВидеоDemo: Exploring Ames Housing DataВидеоLearner PrerequisitesЧтение

Course Logistics and Data Setup - Required

Access SAS Software and Set Up Practice Files (REQUIRED)Чтение

Учитесь у экспертов

Jordan Bakerman

Analytical Training Consultant

Statistics with SAS
В каталоге вашей программы

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Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 20.3 ч

8 модулей

Язык: Английский

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

Часть программы вашего университета
Completing Demos and PracticesЧтение
Using Forums and Getting HelpЧтение
Frequently Asked QuestionsЧтение
02Introduction and Review of Concepts28 материалов

Introduction

OverviewВидео

Statistical Modeling Overview

Statistical Modeling: Types of VariablesВидеоOverview of ModelsВидеоExplanatory versus Predictive ModelingВидеоQuestion 1.01Задание

Quick Review of Statistical Concepts

Population Parameters and Sample StatisticsВидеоParameters and StatisticsЧтениеNormal (Gaussian) DistributionВидеоNormal DistributionЧтениеStandard Error of the MeanВидеоConfidence IntervalsВидеоQuestion 1.02ЗаданиеStatistical Hypothesis TestВидеоp-Value: Effect Size and Sample Size InfluenceВидеоQuestion 1.03Задание

One-Sample t Tests

ScenarioВидеоPerforming a t TestВидеоQuestion 1.04ЗаданиеDemo: Performing a One-Sample t Test Using PROC TTESTВидеоQuestion 1.05ЗаданиеPractice - Using PROC TTEST to Perform a One-Sample t TestЗадание

Two-Sample t Tests

ScenarioВидеоAssumptions for the Two-Sample t TestВидеоTesting for Equal and Unequal VariancesВидеоQuestion 1.06ЗаданиеDemo: Performing a Two-Sample t Test Using PROC TTESTВидеоPractice - Using PROC TTEST to Compare GroupsЗадание

Review

Introduction and Review of ConceptsЗадание
03ANOVA and Regression45 материалов

Introduction

OverviewВидео

Graphical Analysis of Associations

ScenarioВидеоIdentifying Associations in ANOVA with Box PlotsВидеоDemo: Exploring Associations Using PROC SGPLOTВидеоIdentifying Associations in Linear Regression with Scatter PlotsВидеоDemo: Exploring Associations Using PROC SGSCATTERВидео

One-Way ANOVA

ScenarioВидеоQuestion 2.01ЗаданиеThe ANOVA HypothesisВидеоPartitioning Variability in ANOVAВидеоCoefficient of DeterminationВидеоF Statistic and Critical ValuesВидеоQuestion 2.02

ANOVA Post Hoc Tests

ScenarioВидеоMultiple Comparison MethodsВидеоTukey's and Dunnett's Multiple Comparison MethodsВидеоDiffograms and Control PlotsВидеоDemo: Performing a Post Hoc Pairwise Comparison Using PROC GLMВидеоQuestion 2.05Задание

Pearson Correlation

ScenarioВидеоUsing Correlation to Measure Relationships between Continuous VariablesВидеоHypothesis Testing for a CorrelationВидеоQuestion 2.07ЗаданиеAvoiding Common Errors When Interpreting CorrelationsВидеоDemo: Producing Correlation Statistics and Scatter Plots Using PROC CORRВидео

Simple Linear Regression

ScenarioВидеоThe Simple Linear Regression ModelВидеоHow SAS Performs Simple Linear RegressionВидеоComparing the Regression Model to a Baseline ModelВидеоHypothesis Testing and Assumptions for Linear RegressionВидеоDemo: Performing Simple Linear Regression Using PROC REGВидео

Review

ANOVA and RegressionЗадание
04More Complex Linear Models19 материалов

Introduction

OverviewВидео

Two-Way ANOVA and Interactions

ScenarioВидеоApplying the Two-Way ANOVA ModelВидеоDemo: Performing a Two-Way ANOVA Using PROC GLMВидеоInteractionsВидеоQuestion 3.01ЗаданиеDemo: Performing a Two-Way ANOVA With an Interaction Using PROC GLMВидеоThe STORE StatementЧтениеDemo: Performing Post-Processing Analysis Using PROC PLMВидеоPractice - Performing a Two-Way ANOVA Using PROC GLMЗадание

Multiple Regression

ScenarioВидеоThe Multiple Linear Regression ModelВидеоHypothesis Testing for Multiple RegressionВидеоMultiple Linear Regression versus Simple Linear RegressionВидеоAdjusted R-SquareВидеоDemo: Fitting a Multiple Linear Regression Model Using PROC REGВидео

Review

More Complex Linear ModelsЗадание
05Model Building and Effect Selection18 материалов

Introduction

OverviewВидео

Stepwise Selection Using Significance Level

ScenarioВидеоApproaches to Selecting ModelsВидеоThe All-Possible Regressions Approach to Model BuildingВидеоThe Stepwise Selection Approach to Model BuildingВидеоInterpreting p-Values and Parameter EstimatesВидеоDemo: Performing Stepwise Regression Using PROC GLMSELECTВидеоActivity - Optional Stepwise Selection Method CodeЧтениеQuestion 4.01ЗаданиеPractice - Using PROC GLMSELECT to Perform Stepwise SelectionЗадание

Information Criterion and Other Selection Options

ScenarioВидеоInformation CriteriaВидеоInformation Criteria Penalty ComponentsЧтениеAdjusted R-Square and Mallows' CpВидеоDemo: Performing Model Selection Using PROC GLMSELECTВидеоPractice - Using PROC GLMSELECT to Perform Other Model Selection TechniquesЗадание

All Possible Selection (Self-Study)

All-Possible SelectionЧтение

Review

Model Building and Effect SelectionЗадание
06Model Post-Fitting for Inference25 материалов

Introduction

OverviewВидео

Examining Residuals

ScenarioВидеоAssumptions for RegressionВидеоVerifying Assumptions Using Residual PlotsВидеоDemo: Examining Residual Plots Using PROC REGВидеоPractice: Using PROC REG to Examine ResidualsЗадание

Influential Observations

ScenarioВидеоIdentifying Influential ObservationsВидеоChecking for Outliers with STUDENT ResidualsВидеоQuestion 5.01ЗаданиеChecking for Influential ObservationsВидеоDetecting Influential Observations with DFBETASВидео

Collinearity

ScenarioВидеоExploring CollinearityВидеоVisualizing CollinearityВидеоDemo: Calculating Collinearity Diagnostics Using PROC REGВидеоUsing an Effective Modeling CycleВидеоQuestion 5.02ЗаданиеQuestion 5.03

Review

Model Post-Fitting for InferenceЗадание
07Model Building for Scoring and Prediction16 материалов

Introduction

OverviewВидео

Brief Introduction to Predictive Modeling

ScenarioВидеоPredictive Modeling TerminologyВидеоModel ComplexityВидеоBuilding a Predictive ModelВидеоModel Assessment and SelectionВидеоQuestion 6.01ЗаданиеDemo: Building a Predictive Model Using PROC GLMSELECTВидеоPartitioning a Data Set Using PROC GLMSELECTЧтениеPractice: Building a Predictive Model Using PROC GLMSELECTЗадание

Scoring Predictive Models

ScenarioВидеоPreparing for ScoringВидеоMethods of ScoringВидеоDemo: Scoring Data Using PROC PLMВидеоPractice: Scoring Using the SCORE Statement in PROC GLMSELECTЗадание

Review

Model Building for Scoring and PredictionЗадание
08Categorical Data Analysis43 материалов

Introduction

OverviewВидео

Describing Categorical Data

ScenarioВидеоAssociations between Categorical VariablesВидеоDemo: Examining the Distribution of Categorical Variables Using PROC FREQ and PROC UNIVARIATEВидеоQuestion 7.01ЗаданиеQuestion 7.02ЗаданиеPractice: Using PROC FREQ to Examine DistributionsЗадание

Tests of Association

ScenarioВидеоThe Pearson Chi-Square TestВидеоOdds RatiosВидеоQuestion 7.03ЗаданиеDemo: Performing a Pearson Chi-Square Test of Association Using PROC FREQВидеоQuestion 7.04ЗаданиеScenario

Introduction to Logistic Regression

ScenarioВидеоModeling a Binary ResponseВидеоQuestion 7.07ЗаданиеDemo: Fitting a Binary Logistic Regression Model Using PROC LOGISTICВидеоInterpreting the Odds RatioВидеоComparing Pairs to Assess the Fit of a Logistic Regression ModelВидео

Logistic Regression with Categorical Predictors

ScenarioВидеоSpecifying a Parameterization MethodВидеоQuestion 7.09ЗаданиеDemo: Fitting a Multiple Logistic Regression Model with Categorical Predictors Using PROC LOGISTICВидеоQuestion 7.10ЗаданиеPractice: Using PROC LOGISTIC to Perform a Multiple Logistic Regression Analysis with Categorical VariablesЗадание

Stepwise Selection with Interactions and Predictions

ScenarioВидеоInteractions between VariablesВидеоDemo: Fitting a Multiple Logistic Regression Model with Interactions Using PROC LOGISTICВидеоQuestion 7.11ЗаданиеDemo: Fitting a Multiple Logistic Regression Model with All Odds Ratios Using PROC LOGISTICВидеоQuestion 7.12Задание

Review

Categorical Data AnalysisЗадание
Задание
The ANOVA ModelВидео
Question 2.03Задание
Demo: Performing a One-Way ANOVA Using PROC GLMВидео
What Does a CLASS Statement Do?Чтение
Question 2.04Задание
Practice - Performing a One-Way ANOVAЗадание
Question 2.06Задание
Practice - Using PROC GLM to Perform Post Hoc Parwise ComparisonsЗадание
Correlation Analysis and Model BuildingЧтение
Question 2.08Задание
Practice - Describing the Relationship between Continuous VariablesЗадание
Question 2.09Задание
Practice - Using PROC REG to Fit a Simple Linear Regression ModelЗадание
Question 3.02Задание
Practice - Performing Multiple Regression Using PROC REGЗадание
Demo: Looking for Influential Observations Using PROC GLMSELECT and PROC REGВидео
Demo: Examining the Influential Observations Using PROC PRINTВидео
Handling Influential ObservationsВидео
Practice: Using PROC REG to Generate Potential OutliersЗадание
Задание
Practice: Using PROC REG to Assess CollinearityЗадание
Видео
The Mantel-Haenszel Chi-Square TestВидео
The Spearman Correlation StatisticВидео
Question 7.05Задание
Demo: Detecting Ordinal Associations Using PROC FREQВидео
Question 7.06Задание
Practice: Using PROC FREQ to Perform Tests and Measures of AssociationЗадание
Question 7.08Задание
Practice: Using PROC LOGISTIC to Perform a Binary Logistic Regression AnalysisЗадание
Demo: Generating Predictions Using PROC PLMВидео
Practice: Using PROC LOGISTIC to Perform Backward Elimination and PROC PLM to Generate PredictionsЗадание