SAS Fundamentals Course Outline

Overview

Do you want to create data analysis reports without writing a line of code?

This course introduces SAS programming using SAS Studio, a free data science web browser-based product for educational and non-commercial purposes. The power of SAS Studio comes from its visual point-and-click user interface that generates SAS code. All what you will learn in this course, you can apply seamlessly using SAS Enterprise Guide or SAS Viya as all platforms use the same programming language and same syntax.

It is easier to learn SAS than to learn R and Python to accomplish data cleaning, statistics, and visualization tasks. If you use any other SAS product, this course will cover the SAS programming syntax and fundamentals needed to do your data reports.

The course includes a case study about analyzing the data required for predicting the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the course provides real-life examples including analyzing stocks, oil and gold prices, crime, marketing, and healthcare. You will see data science in action and how easy it is to perform complicated tasks and visualizations in SAS.

You will learn, step-by-step, how to do visualizations, including maps. In most cases, you will not need a line of code as you work with the SAS graphical user interface. The course includes explanations of the code that SAS IDE generates automatically. You will learn how to edit this code to perform more complicated advanced tasks.

You will:
•      Become familiar with SAS IDE
•      Understand essential visualizations
•      Know the fundamental statistical analysis required in most data science and analytics reports
•      Clean the most common data set problems
•      Use linear progression for data prediction
•      Write programs in SAS

Who this class is for?
It is for data scientists and analytics.

Prerequisites
No prior knowledge of SAS is required.

Number of Days
3 days

Course Outline

Part I: Basics
Data Science in Action
Data Science Process

Case Study: Presidential Elections in Maine
Population
Gender
Race
Age
Voter Turnout
Winning Candidates in 2012
Categories/Issues
Factors Affecting Maine’s Economy
Modeling
My 2016 Predictions
My 2020 Predictions

Getting Started
How Do You Install SAS Studio?
What Is SAS and SAS Studio?
Tour
Tasks
Reports
Graphs
Snippets
Main Components of a SAS Program
Data Step
Variable Types
Proc Step
Libraries
Accessing Your Existing Local Files
Accessing Data in SAS Libraries
Create a New Library
Add a New Table to the Library
INFILE technique

Data Visualization
Scatter Plot
Scatter Plot Code
Scatter Plot Relationships
Plotting More Than One Scatter Plot in the Same Image
Histogram
Appearance Tab
Series Plot
Bar Chart
How Do You Sort A Bar Chart?
Create a Histogram Using a Bar Chart
Bubble Chart
Maps
Bubble Map
Cluster Analysis

Statistical Analysis and Linear Models
Statistical Analysis
One-Way Frequency
Summary Statistics
Correlation Analysis
T-Tests
One-Sample T-tests
Paired-sample T-test
Two-Sample T-tests
Linear Models
One-Way ANOVA
N-Way ANOVA

Advanced Data Preprocessing and Feature Engineering
Comment Statement
Arithmetic Operators
How to Represent Missing Values in Raw Data
Comparison Operators
PROC SQL Statement
SELECT-WHERE Statement
WHERE Clause
SELECT-WHEN-OTHERWISE Statement
DO Loops

Preparing Data for Analysis
Label
Format
Create New Variables
Rearrange the Dataset Variables
IF Statement
IF (Condition) Without THEN statement
IF-THEN Statement
IF-THEN-ELSE Statement
DROP Statement
SET Statement

Regression
Simple Linear Regression
Multiple Linear Regression
Logistic Regression

Project/Case Study
We will work on another data set to practice by hand everything we learned throughout the course
Clean the data column by column including character, numeric, date and time variables and how to do typecasting.
Find the correlation between the outcome and the variables.
Analyze the results and write a report explaining the numbers.
Moreover, you will have a third dataset with its solution to practice after the course finishes.

View outline in Word

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