INTRODUCTION
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.
COURSE
OBJECTIVES
At the end of course participants should 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
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
·
This course is delivered by our seasoned trainers who have
vast experience as expert professionals in the respective fields of practice.
The course is taught through a mix of practical activities, theory, group works
and case studies.
·
Training manuals and additional reference materials are
provided to the participants.
·
Upon successful completion of this course, participants will
be issued with a certificate.
·
We can also do this as tailor-made course to meet
organization-wide needs. Contact us to find out more: training@skillsforafrica.org
· The training will be conducted at SKILLS FOR AFRICA TRAINING INSTITUTE IN NAIROBI
KENYA.
· The training fee covers
tuition fees, training materials, lunch and training venue. Accommodation and
airport transfer are arranged for our participants upon request.
·
Payment should be sent to our bank account before start of
training and proof of payment sent to: training@skillsforafrica.org
Dates | Fees | Location | Apply |
---|---|---|---|
09/09/2024 - 13/09/2024 | $1500 | Nairobi |
Physical Class Online Class |
14/10/2024 - 18/10/2024 | $2950 | Kigali |
Physical Class Online Class |
11/11/2024 - 15/11/2024 | $1500 | Mombasa |
Physical Class Online Class |
09/12/2024 - 13/12/2024 | $1500 | Nairobi |
Physical Class Online Class |