INTRODUCTION

SAS is the name of a statistical program used for data administration, analysis, and visuals. It has advanced features like forecasting, data analysis, survival analysis, time series analysis, and survey techniques. It can be used using a graphical user interface with extremely simple language. It gains from the engaged user base that contributes to a special mailing list.

COURSE OBJECTIVES

At the end of course participants should be able to:

• Recognize the workflow as a whole from a high level perspective.
• Learn to complete 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 types of data.
• Use many important functions to make SAS programming. •
• Learn the important concepts of meta data: form, id, and type.
• Execute dataset modifications such as subsetting, transposition, etc. •
• Acquire the knowledge necessary to appropriately understand the findings of statistical analyses.

DURATION

5 Days

WHO SHOULD ATTEND

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

COURSE CONTENT

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

GENERAL NOTES

• Our seasoned instructors, who have years of experience as seasoned professionals in their respective fields of work, will be teaching this course. A combination of practical exercises, theory, group projects, and case studies are used to teach the course.
• The participants receive training manuals and supplementary reading materials.
• Participants who complete this course successfully will receive a certificate.
• We can also create a course specifically for your organization to match your needs. To learn more, get in touch with us at training@dealsontrainers.org.
• The training will take place at DEALSON TRAINERS IN NAIROBI, KENYA in Nairobi, Kenya.
• The training fee includes lunch, course materials, and lodging for the training session. Upon request, we may arrange for our participants' lodging and transportation to the airport.
• Payment must be made to our bank account before the training begins, and documentation of payment should be emailed to training@dealsontrainers.org