Quantitative Data Management And Analysis With SAS Course

THIS COURSE IS SUITABLE FOR PEOPLE WORKING IN:

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

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.

Closure

Methodology

This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued with a certificate of participation.

Training Venue

The training is residential and will be held at the Livecode Training Centre in Westlands, Nairobi, Kenya. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

Accommodation

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Mobile Number: +254 725 771 853

Training Fees

The course fees is KES 70,000.00 or USD 1,000.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.

Payment

Payment should be transferred to Livecode Technologies account through bank on or before the course starting date. 

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

Cancellation Policy

Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

Tailor- Made

This scheduled course can also be tailored for your organization. To find out how our tailor-made training can help your organization, call our team on

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.