About this Course
20,794 recent views

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 21 hours to complete

Suggested: 10 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 21 hours to complete

Suggested: 10 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Course Overview and Data Setup

2 videos (Total 13 min), 5 readings
5 readings
Learner Prerequisites10m
Choosing and Setting Up SAS Software for this Course10m
Follow These Instructions to Set Up Data for This Course (REQUIRED)30m
Completing Demos and Practices10m
Using Forums and Getting Help10m
3 hours to complete

Introduction and Review of Concepts

17 videos (Total 41 min), 2 readings, 9 quizzes
17 videos
Explanatory versus Predictive Modeling1m
Population Parameters and Sample Statistics1m
Normal (Gaussian) Distribution2m
Standard Error of the Mean51s
Confidence Intervals2m
Statistical Hypothesis Test4m
p-Value: Effect Size and Sample Size Influence3m
Scenario48s
Performing a t Test4m
Demo: Performing a One-Sample t Test Using PROC TTEST3m
Scenario1m
Assumptions for the Two-Sample t Test2m
Testing for Equal and Unequal Variances2m
Demo: Performing a Two-Sample t Test Using PROC TTEST4m
2 readings
Parameters and Statistics10m
Normal Distribution10m
9 practice exercises
Question 1.015m
Question 1.025m
Question 1.035m
Question 1.045m
Question 1.055m
Practice - Using PROC TTEST to Perform a One-Sample t Test20m
Question 1.065m
Practice - Using PROC TTEST to Compare Groups20m
Introduction and Review of Concepts30m
Week
2
4 hours to complete

ANOVA and Regression

29 videos (Total 70 min), 2 readings, 14 quizzes
29 videos
Demo: Exploring Associations Using PROC SGPLOT1m
Identifying Associations in Linear Regression with Scatter Plots1m
Demo: Exploring Associations Using PROC SGSCATTER2m
Scenario56s
The ANOVA Hypothesis1m
Partitioning Variability in ANOVA2m
Coefficient of Determination1m
F Statistic and Critical Values1m
The ANOVA Model2m
Demo: Performing a One-Way ANOVA Using PROC GLM6m
Scenario49s
Multiple Comparison Methods2m
Tukey's and Dunnett's Multiple Comparison Methods1m
Diffograms and Control Plots1m
Demo: Performing a Post Hoc Pairwise Comparison Using PROC GLM6m
Scenario53s
Using Correlation to Measure Relationships between Continuous Variables1m
Hypothesis Testing for a Correlation1m
Avoiding Common Errors When Interpreting Correlations5m
Demo: Producing Correlation Statistics and Scatter Plots Using PROC CORR6m
Scenario45s
The Simple Linear Regression Model1m
How SAS Performs Simple Linear Regression1m
Comparing the Regression Model to a Baseline Model2m
Hypothesis Testing and Assumptions for Linear Regression1m
Demo: Performing Simple Linear Regression Using PROC REG7m
2 readings
What Does a CLASS Statement Do?10m
Correlation Analysis and Model Building10m
14 practice exercises
Question 2.015m
Question 2.025m
Question 2.035m
Question 2.045m
Practice - Performing a One-Way ANOVA20m
Question 2.055m
Question 2.065m
Practice - Using PROC GLM to Perform Post Hoc Parwise Comparisons20m
Question 2.075m
Question 2.085m
Practice - Describing the Relationship between Continuous Variables20m
Question 2.095m
Practice - Using PROC REG to Fit a Simple Linear Regression Model20m
ANOVA and Regression30m
Week
3
2 hours to complete

More Complex Linear Models

13 videos (Total 43 min), 1 reading, 5 quizzes
13 videos
Demo: Performing a Two-Way ANOVA Using PROC GLM7m
Interactions3m
Demo: Performing a Two-Way ANOVA With an Interaction Using PROC GLM5m
Demo: Performing Post-Processing Analysis Using PROC PLM4m
Scenario44s
The Multiple Linear Regression Model2m
Hypothesis Testing for Multiple Regression1m
Multiple Linear Regression versus Simple Linear Regression2m
Adjusted R-Square1m
Demo: Fitting a Multiple Linear Regression Model Using PROC REG7m
1 reading
The STORE Statement10m
5 practice exercises
Question 3.015m
Practice - Performing a Two-Way ANOVA Using PROC GLM20m
Question 3.025m
Practice - Performing Multiple Regression Using PROC REG20m
More Complex Linear Models30m
2 hours to complete

Model Building and Effect Selection

11 videos (Total 28 min), 3 readings, 4 quizzes
11 videos
The All-Possible Regressions Approach to Model Building1m
The Stepwise Selection Approach to Model Building3m
Interpreting p-Values and Parameter Estimates2m
Demo: Performing Stepwise Regression Using PROC GLMSELECT7m
Scenario37s
Information Criteria2m
Adjusted R-Square and Mallows' Cp56s
Demo: Performing Model Selection Using PROC GLMSELECT5m
3 readings
Activity - Optional Stepwise Selection Method Code10m
Information Criteria Penalty Components10m
All-Possible Selection
4 practice exercises
Question 4.015m
Practice - Using PROC GLMSELECT to Perform Stepwise Selection20m
Practice - Using PROC GLMSELECT to Perform Other Model Selection Techniques20m
Model Building and Effect Selection20m
Week
4
3 hours to complete

Model Post-Fitting for Inference

18 videos (Total 46 min), 7 quizzes
18 videos
Verifying Assumptions Using Residual Plots3m
Demo: Examining Residual Plots Using PROC REG5m
Scenario47s
Identifying Influential Observations1m
Checking for Outliers with STUDENT Residuals1m
Checking for Influential Observations2m
Detecting Influential Observations with DFBETAS1m
Demo: Looking for Influential Observations Using PROC GLMSELECT and PROC REG5m
Demo: Examining the Influential Observations Using PROC PRINT6m
Handling Influential Observations1m
Scenario38s
Exploring Collinearity1m
Visualizing Collinearity2m
Demo: Calculating Collinearity Diagnostics Using PROC REG5m
Using an Effective Modeling Cycle1m
7 practice exercises
Practice: Using PROC REG to Examine Residuals20m
Question 5.015m
Practice: Using PROC REG to Generate Potential Outliers20m
Question 5.025m
Question 5.035m
Practice: Using PROC REG to Assess Collinearity20m
Model Post-Fitting for Inference30m
2 hours to complete

Model Building for Scoring and Prediction

11 videos (Total 27 min), 1 reading, 4 quizzes
11 videos
Model Complexity51s
Building a Predictive Model2m
Model Assessment and Selection1m
Demo: Building a Predictive Model Using PROC GLMSELECT10m
Scenario29s
Preparing for Scoring1m
Methods of Scoring1m
Demo: Scoring Data Using PROC PLM4m
1 reading
Partitioning a Data Set Using PROC GLMSELECT10m
4 practice exercises
Question 6.015m
Practice: Building a Predictive Model Using PROC GLMSELECT20m
Practice: Scoring Using the SCORE Statement in PROC GLMSELECT20m
Model Building for Scoring and Prediction30m
4.9
5 ReviewsChevron Right

Top reviews from Statistics with SAS

By ZYJul 1st 2019

This course is really fantastic!\n\nI love SAS, and I love analysis\n\nHope this will help me in my Ph. D studying career

Instructor

Avatar

Jordan Bakerman

Analytical Training Consultant
Education

About SAS

Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.