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.

Offered By

## Statistics with SAS

## About this Course

#### Shareable Certificate

#### 100% online

#### Flexible deadlines

#### Intermediate Level

#### Approx. 30 hours to complete

#### English

### Offered by

#### 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.

## Syllabus - What you will learn from this course

**1 hour to complete**

## Course Overview and Data Setup

In this module you learn about the course and the data you analyze in this course. Then you set up the data you need to do the practices in the course.

**1 hour to complete**

**5 readings**

**3 hours to complete**

## Introduction and Review of Concepts

In this module you learn about the models required to analyze different types of data and the difference between explanatory vs predictive modeling. Then you review fundamental statistical concepts, such as the sampling distribution of a mean, hypothesis testing, p-values, and confidence intervals. After reviewing these concepts, you apply one-sample and two-sample t tests to data to confirm or reject preconceived hypotheses.

**3 hours to complete**

**17 videos**

**2 readings**

**9 practice exercises**

**4 hours to complete**

## ANOVA and Regression

In this module you learn to use graphical tools that can help determine which predictors are likely or unlikely to be useful. Then you learn to augment these graphical explorations with correlation analyses that describe linear relationships between potential predictors and our response variable. After you determine potential predictors, tools like ANOVA and regression help you assess the quality of the relationship between the response and predictors.

**4 hours to complete**

**29 videos**

**2 readings**

**14 practice exercises**

**2 hours to complete**

## More Complex Linear Models

In this module you expand the one-way ANOVA model to a two-factor analysis of variance and then extend simple linear regression to multiple regression with two predictors. After you understand the concepts of two-way ANOVA and multiple linear regression with two predictors, you'll have the skills to fit and interpret models with many variables.

**2 hours to complete**

**13 videos**

**1 reading**

**5 practice exercises**

**2 hours to complete**

## Model Building and Effect Selection

In this module you explore several tools for model selection. These tools help limit the number of candidate models so that you can choose an appropriate model that's based on your expertise and research priorities.

**2 hours to complete**

**11 videos**

**3 readings**

**4 practice exercises**

**3 hours to complete**

## Model Post-Fitting for Inference

In this module you learn to verify the assumptions of the model and diagnose problems that you encounter in linear regression. You learn to examine residuals, identify outliers that are numerically distant from the bulk of the data, and identify influential observations that unduly affect the regression model. Finally, you learn to diagnose collinearity to avoid inflated standard errors and parameter instability in the model.

**3 hours to complete**

**18 videos**

**7 practice exercises**

**2 hours to complete**

## Model Building for Scoring and Prediction

In this module you learn how to transition from inferential statistics to predictive modeling. Instead of using p-values, you learn about assessing models using honest assessment. After you choose the best performing model, you learn about ways to deploy the model to predict new data.

**2 hours to complete**

**11 videos**

**1 reading**

**4 practice exercises**

### Reviews

#### 4.9

##### TOP REVIEWS FROM STATISTICS WITH SAS

The best course for statistics I've ever seen. I've learned statistics here not in university. Big like to all those people provide this valuable course for us. Thanks a million.

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

best course to learn n rewind concepts. helped me at lot for my placement preparations

excellent course. lots of things to learn and build the skills in SAS programming.

Intense introduction to SAS/STAT using SAS Studio,

## Frequently Asked Questions

When will I have access to the lectures and assignments?

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.

What will I get if I purchase the Certificate?

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.

What is the refund policy?

Is financial aid available?

More questions? Visit the Learner Help Center.