SAS refers to statistical software which is used in the management of data, analysis, and graphics. It comprises of advanced functions which includes forecasting, survival analysis, data analysis, and time series analysis and survey methods. It can be utilized via graphical interface using very intuitive language. It benefits from the active user community which gives its support on a dedicated mailing.

Duration

5 Days

Target Audience

The course targets Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyse data with SAS.

Objectives

By the end of the training the participants will be able to:

• Understand the entire workflow from a high-level perspective
• Learn the SAS basic to advance to buildup solid understanding of SAS technical skills
• Learn to accomplish a task with various SAS techniques
• Learn step-by-step statistical analysis from descriptive statistics, hypothesis testing to linear regression
• Learn data importing with different techniques for various type of data
• Use many important functions to make SAS programming
• Learn the important concepts of meta data: formats and informats, labels, lengths, etc.
• Learn the manipulation techniques to prepare the data and make the data analysis-ready
• Perform dataset manipulations: subsetting, transposition, etc.
• Learn how to properly interpret the results from statistical analyses

Course Outline

Module 1: Research Design, Analysis and interpretation

• Introduction to Research and the Research Process
• Problem Definition
• Research Design and Secondary Data Sources
• Qualitative Methods
• Descriptive Research Design and Observation
• Causal Research Design
• Measurement, Scaling and Sampling
• Data Preparation and Analysis Strategy
• Hypothesis testing, Frequencies and Cross-tabulation
• Testing for Significant Differences – t-test/ANOVA
• Testing for Association – Correlation and Regression

Module 2: Understanding the Workflow

• The Workflow
• SAS Basics
• Data Importing - Instream data and Proc Import
• Import Wizard for SAS 9.x
• Data Importing in SAS Studio
• Bring in Data from Pre-existing SAS Dataset and Create Permanent Dataset
• Data importing - excel data

Module 3: Data Manipulation - Naming Convention and IF THEN/ELSE Statement

• Naming Convention and Variable Types
• IF THEN/ELSE Statement
• Keep and Drop Variables
• Data Manipulation - SAS Functions and DO Loop
• SAS Functions
• DO Loop
• Dataset Manipulation - Subset and Append
• Use WHERE statement to subset data
• Concatenation (Append)

Module 4: Dataset Manipulation - Merge and Transposition

• Merge
• Merge two datasets into a single dataset
• Project part 3: Merge two datasets
• Transpose
• A comprehensive task using several techniques to subset, transpose data

Module 6: Descriptive Statistics - Frequency and Univariate Analysis

• Explore the Data Using PROC PRINT and CONTENTS Procedures
• Descriptive Statistics
• Calculate the mean of the sample
• PROC FREQ

Module 7: Perform descriptive statistical analysis

• One, Two Sample T-Test and ANOVA
• One Sample T-Test
• Two Sample T-Test
• Two Sample T-Test and paired T-Test
• Sample ANOVA
• Non-parametric Analysis

Module 8: Linear Regression - Predicting the Outcome

• Linear Regression
• Use Linear Regression model to predict the MSRP
• Dummy Variable
• Include some categorical variables into the model

Certification

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

Training Venue

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

Airport Pick Up and Accommodation

• Airport pick up and accommodation is arranged upon request

Terms Of Payment

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent