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.
Duration
5 Days
WHO SHOULD ATTEND?
Statistician, analyst, or a budding data
scientist and beginners who want to learn how to analyze data with SAS
Course Objective:
· Research Design, Analysis and Interpretation
· 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
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
·
All our courses can be
Tailor-made to participants needs
·
The participant must be
conversant with English
·
Presentations are
well guided, practical exercises, web-based tutorials, and group work. Our
facilitators are experts with more than 10years of experience
·
Upon completion of
training, the participant will be issued with a Global King Project Management
certificate
·
Training will be done at
the Global King Project Management Centers (Nairobi Kenya, Mombasa Kenya,
Kigali Rwanda, Dubai ,Lagos Nigeria and More others).
·
A discount of 20% will
be given to more than 4 participants from same organization.
·
Course duration is
flexible and the contents can be modified to fit any number of
days.
·
Payment should be done
before commencement of the training, to the Global King Project Management
account, so as to enable us to prepare better for you.
·
For any inquiry
to: [email protected] or +254 114 830 889
·
Website: www.globalkingprojectmanagement.org
·
Tablet and Laptops are
provided to participants on request as an add-on cost to the training fee
·
The course fee for
onsite training includes facilitation training materials, 2 coffee breaks, a
buffet lunch, and a Certificate of successful completion of Training.
Participants will be responsible for their own travel expenses and
arrangements, airport transfers, visa application dinners, health/accident
insurance, and other personal expenses.
Start Date | End Date | Action | Duration | Location | Fee(Kes) | Fee(Us$) |
---|---|---|---|---|---|---|
02/10/2023 | 06/10/2023 | 5Days | Nairobi | 100000 | 1200 | |
30/10/2023 | 03/11/2023 | 5Days | Nairobi | 100000 | 1200 | |
22/01/2024 | 26/01/2024 | 5Days | Nairobi | 100000 | 1200 | |
18/03/2024 | 22/03/2024 | 5Days | Nairobi | 100000 | 1200 | |
15/04/2024 | 19/04/2024 | 5Days | Nairobi | 100000 | 1200 | |
04/09/2023 | 08/09/2023 | 5Days | Mombasa | 120000 | 1500 | |
27/11/2023 | 01/12/2023 | 5Days | Mombasa | 120000 | 1500 | |
19/02/2024 | 23/02/2024 | 5Days | Mombasa | 120000 | 1500 |