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Statistics with SAS
  • Level Professional
  • Duration 20 hours
  • Course by SAS
  • Offered by

About

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.

Modules

Welcome

    • 2 Videos
    • 1 Readings
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2 Videos

  • Welcome and Meet the Instructor
  • Demo: Exploring Ames Housing Data

1 Readings

  • Learner Prerequisites

Course Logistics and Data Setup - Required

    • 3 Readings
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3 Readings

  • Access SAS Software and Set Up Practice Files (REQUIRED)
  • Completing Demos and Practices
  • Using Forums and Getting Help

Introduction

    • 1 Videos
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1 Videos

  • Overview

Statistical Modeling Overview

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • Question 1.01

3 Videos

  • Statistical Modeling: Types of Variables
  • Overview of Models
  • Explanatory versus Predictive Modeling

Quick Review of Statistical Concepts

    • 6 Videos
    • 2 Readings
    • 2 Assignment
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2 Assignment

  • Question 1.02
  • Question 1.03

6 Videos

  • Population Parameters and Sample Statistics
  • Normal (Gaussian) Distribution
  • Standard Error of the Mean
  • Confidence Intervals
  • Statistical Hypothesis Test
  • p-Value: Effect Size and Sample Size Influence

2 Readings

  • Parameters and Statistics
  • Normal Distribution

One-Sample t Tests

    • 3 Videos
    • 3 Assignment
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3 Assignment

  • Question 1.04
  • Question 1.05
  • Practice - Using PROC TTEST to Perform a One-Sample t Test

3 Videos

  • Scenario
  • Performing a t Test
  • Demo: Performing a One-Sample t Test Using PROC TTEST

Two-Sample t Tests

    • 4 Videos
    • 2 Assignment
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2 Assignment

  • Question 1.06
  • Practice - Using PROC TTEST to Compare Groups

4 Videos

  • Scenario
  • Assumptions for the Two-Sample t Test
  • Testing for Equal and Unequal Variances
  • Demo: Performing a Two-Sample t Test Using PROC TTEST

Review

    • 1 Assignment
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1 Assignment

  • Introduction and Review of Concepts

Introduction

    • 1 Videos
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1 Videos

  • Overview

Graphical Analysis of Associations

    • 5 Videos
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5 Videos

  • Scenario
  • Identifying Associations in ANOVA with Box Plots
  • Demo: Exploring Associations Using PROC SGPLOT
  • Identifying Associations in Linear Regression with Scatter Plots
  • Demo: Exploring Associations Using PROC SGSCATTER

One-Way ANOVA

    • 7 Videos
    • 1 Readings
    • 5 Assignment
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5 Assignment

  • Question 2.01
  • Question 2.02
  • Question 2.03
  • Question 2.04
  • Practice - Performing a One-Way ANOVA

7 Videos

  • Scenario
  • The ANOVA Hypothesis
  • Partitioning Variability in ANOVA
  • Coefficient of Determination
  • F Statistic and Critical Values
  • The ANOVA Model
  • Demo: Performing a One-Way ANOVA Using PROC GLM

1 Readings

  • What Does a CLASS Statement Do?

ANOVA Post Hoc Tests

    • 5 Videos
    • 3 Assignment
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3 Assignment

  • Question 2.05
  • Question 2.06
  • Practice - Using PROC GLM to Perform Post Hoc Parwise Comparisons

5 Videos

  • Scenario
  • Multiple Comparison Methods
  • Tukey's and Dunnett's Multiple Comparison Methods
  • Diffograms and Control Plots
  • Demo: Performing a Post Hoc Pairwise Comparison Using PROC GLM

Pearson Correlation

    • 5 Videos
    • 1 Readings
    • 3 Assignment
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3 Assignment

  • Question 2.07
  • Question 2.08
  • Practice - Describing the Relationship between Continuous Variables

5 Videos

  • Scenario
  • Using Correlation to Measure Relationships between Continuous Variables
  • Hypothesis Testing for a Correlation
  • Avoiding Common Errors When Interpreting Correlations
  • Demo: Producing Correlation Statistics and Scatter Plots Using PROC CORR

1 Readings

  • Correlation Analysis and Model Building

Simple Linear Regression

    • 6 Videos
    • 2 Assignment
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2 Assignment

  • Question 2.09
  • Practice - Using PROC REG to Fit a Simple Linear Regression Model

6 Videos

  • Scenario
  • The Simple Linear Regression Model
  • How SAS Performs Simple Linear Regression
  • Comparing the Regression Model to a Baseline Model
  • Hypothesis Testing and Assumptions for Linear Regression
  • Demo: Performing Simple Linear Regression Using PROC REG

Review

    • 1 Assignment
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1 Assignment

  • ANOVA and Regression

Introduction

    • 1 Videos
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1 Videos

  • Overview

Two-Way ANOVA and Interactions

    • 6 Videos
    • 1 Readings
    • 2 Assignment
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2 Assignment

  • Question 3.01
  • Practice - Performing a Two-Way ANOVA Using PROC GLM

6 Videos

  • Scenario
  • Applying the Two-Way ANOVA Model
  • Demo: Performing a Two-Way ANOVA Using PROC GLM
  • Interactions
  • Demo: Performing a Two-Way ANOVA With an Interaction Using PROC GLM
  • Demo: Performing Post-Processing Analysis Using PROC PLM

1 Readings

  • The STORE Statement

Multiple Regression

    • 6 Videos
    • 2 Assignment
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2 Assignment

  • Question 3.02
  • Practice - Performing Multiple Regression Using PROC REG

6 Videos

  • Scenario
  • The Multiple Linear Regression Model
  • Hypothesis Testing for Multiple Regression
  • Multiple Linear Regression versus Simple Linear Regression
  • Adjusted R-Square
  • Demo: Fitting a Multiple Linear Regression Model Using PROC REG

Review

    • 1 Assignment
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1 Assignment

  • More Complex Linear Models

Introduction

    • 1 Videos
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1 Videos

  • Overview

Stepwise Selection Using Significance Level

    • 6 Videos
    • 1 Readings
    • 2 Assignment
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2 Assignment

  • Question 4.01
  • Practice - Using PROC GLMSELECT to Perform Stepwise Selection

6 Videos

  • Scenario
  • Approaches to Selecting Models
  • The All-Possible Regressions Approach to Model Building
  • The Stepwise Selection Approach to Model Building
  • Interpreting p-Values and Parameter Estimates
  • Demo: Performing Stepwise Regression Using PROC GLMSELECT

1 Readings

  • Activity - Optional Stepwise Selection Method Code

Information Criterion and Other Selection Options

    • 4 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Practice - Using PROC GLMSELECT to Perform Other Model Selection Techniques

4 Videos

  • Scenario
  • Information Criteria
  • Adjusted R-Square and Mallows' Cp
  • Demo: Performing Model Selection Using PROC GLMSELECT

1 Readings

  • Information Criteria Penalty Components

All Possible Selection (Self-Study)

    • 1 Readings
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1 Readings

  • All-Possible Selection

Review

    • 1 Assignment
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1 Assignment

  • Model Building and Effect Selection

Introduction

    • 1 Videos
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1 Videos

  • Overview

Examining Residuals

    • 4 Videos
    • 1 Assignment
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1 Assignment

  • Practice: Using PROC REG to Examine Residuals

4 Videos

  • Scenario
  • Assumptions for Regression
  • Verifying Assumptions Using Residual Plots
  • Demo: Examining Residual Plots Using PROC REG

Influential Observations

    • 8 Videos
    • 2 Assignment
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2 Assignment

  • Question 5.01
  • Practice: Using PROC REG to Generate Potential Outliers

8 Videos

  • Scenario
  • Identifying Influential Observations
  • Checking for Outliers with STUDENT Residuals
  • Checking for Influential Observations
  • Detecting Influential Observations with DFBETAS
  • Demo: Looking for Influential Observations Using PROC GLMSELECT and PROC REG
  • Demo: Examining the Influential Observations Using PROC PRINT
  • Handling Influential Observations

Collinearity

    • 5 Videos
    • 3 Assignment
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3 Assignment

  • Question 5.02
  • Question 5.03
  • Practice: Using PROC REG to Assess Collinearity

5 Videos

  • Scenario
  • Exploring Collinearity
  • Visualizing Collinearity
  • Demo: Calculating Collinearity Diagnostics Using PROC REG
  • Using an Effective Modeling Cycle

Review

    • 1 Assignment
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1 Assignment

  • Model Post-Fitting for Inference

Introduction

    • 1 Videos
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1 Videos

  • Overview

Brief Introduction to Predictive Modeling

    • 6 Videos
    • 1 Readings
    • 2 Assignment
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2 Assignment

  • Question 6.01
  • Practice: Building a Predictive Model Using PROC GLMSELECT

6 Videos

  • Scenario
  • Predictive Modeling Terminology
  • Model Complexity
  • Building a Predictive Model
  • Model Assessment and Selection
  • Demo: Building a Predictive Model Using PROC GLMSELECT

1 Readings

  • Partitioning a Data Set Using PROC GLMSELECT

Scoring Predictive Models

    • 4 Videos
    • 1 Assignment
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1 Assignment

  • Practice: Scoring Using the SCORE Statement in PROC GLMSELECT

4 Videos

  • Scenario
  • Preparing for Scoring
  • Methods of Scoring
  • Demo: Scoring Data Using PROC PLM

Review

    • 1 Assignment
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1 Assignment

  • Model Building for Scoring and Prediction

Introduction

    • 1 Videos
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1 Videos

  • Overview

Describing Categorical Data

    • 3 Videos
    • 3 Assignment
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3 Assignment

  • Question 7.01
  • Question 7.02
  • Practice: Using PROC FREQ to Examine Distributions

3 Videos

  • Scenario
  • Associations between Categorical Variables
  • Demo: Examining the Distribution of Categorical Variables Using PROC FREQ and PROC UNIVARIATE

Tests of Association

    • 8 Videos
    • 5 Assignment
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5 Assignment

  • Question 7.03
  • Question 7.04
  • Question 7.05
  • Question 7.06
  • Practice: Using PROC FREQ to Perform Tests and Measures of Association

8 Videos

  • Scenario
  • The Pearson Chi-Square Test
  • Odds Ratios
  • Demo: Performing a Pearson Chi-Square Test of Association Using PROC FREQ
  • Scenario
  • The Mantel-Haenszel Chi-Square Test
  • The Spearman Correlation Statistic
  • Demo: Detecting Ordinal Associations Using PROC FREQ

Introduction to Logistic Regression

    • 5 Videos
    • 3 Assignment
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3 Assignment

  • Question 7.07
  • Question 7.08
  • Practice: Using PROC LOGISTIC to Perform a Binary Logistic Regression Analysis

5 Videos

  • Scenario
  • Modeling a Binary Response
  • Demo: Fitting a Binary Logistic Regression Model Using PROC LOGISTIC
  • Interpreting the Odds Ratio
  • Comparing Pairs to Assess the Fit of a Logistic Regression Model

Logistic Regression with Categorical Predictors

    • 3 Videos
    • 3 Assignment
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3 Assignment

  • Question 7.09
  • Question 7.10
  • Practice: Using PROC LOGISTIC to Perform a Multiple Logistic Regression Analysis with Categorical Variables

3 Videos

  • Scenario
  • Specifying a Parameterization Method
  • Demo: Fitting a Multiple Logistic Regression Model with Categorical Predictors Using PROC LOGISTIC

Stepwise Selection with Interactions and Predictions

    • 5 Videos
    • 3 Assignment
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3 Assignment

  • Question 7.11
  • Question 7.12
  • Practice: Using PROC LOGISTIC to Perform Backward Elimination and PROC PLM to Generate Predictions

5 Videos

  • Scenario
  • Interactions between Variables
  • Demo: Fitting a Multiple Logistic Regression Model with Interactions Using PROC LOGISTIC
  • Demo: Fitting a Multiple Logistic Regression Model with All Odds Ratios Using PROC LOGISTIC
  • Demo: Generating Predictions Using PROC PLM

Review

    • 1 Assignment
Show info about module content

1 Assignment

  • Categorical Data Analysis

Auto Summary

"Statistics with SAS" is an introductory course designed for SAS software users focusing on t-tests, ANOVA, linear regression, and a brief intro to logistic regression. Offered by Coursera, this professional-level course spans 1200 minutes. Subscription options include Starter and Professional plans, catering to data science and AI enthusiasts aiming to enhance their statistical analysis skills.

Jordan Bakerman
Instructor

Jordan Bakerman