Learn SAS for free!
Statistical Programming using SAS :
Statistical Analysis System (SAS) is a software developed by SAS Institute. It is a powerful software
for data management, business intelligence, advanced analytics and more. The pharmaceutical
industry heavily depends on SAS programming for data manipulation and statistical analysis.
There will be more data in the health care industry to analyze because all the data including the
pre-clinical and clinical trial data become standardized. Nowadays Food and Drug Administration
(FDA) requires SAS transport files generated by SAS XPORT. Due to the current involvement in the
pre-clinical and clinical trials, the role of SAS programmers will expand.
This instructor-led course provides students with the knowledge and skills to leverage SAS tool to
manage and analyze data about health care, pharmaceutical, customer and more.
Course Outline: 50 hours
Data-Management : 40 hours
Chapter 1 Introduction
Chapter 2 Getting Started with SAS
Chapter 3 Getting Familiar with SAS Data
Chapter 4 Producing List Reports
Chapter 5 Enhancing Output
Chapter 6 Creating SAS Data Sets
Chapter 7 DATA Step Programming
Chapter 8 Combining SAS Data Sets
Chapter 9 Producing Summary Reports
Chapter 10 Introduction to Graphics Using SAS/GRAPH
Chapter 11 Additional Resources
Review of SAS Basics
Chapter 12 Controlling Input and Output
Chapter 13 Summarizing Data
Chapter 14 Reading and Writing Different Types of Data
Chapter 15 Data Transformations
Chapter 16 Debugging Techniques
Chapter 7 Processing Data Iteratively
Chapter 18 Combining SAS Data Sets
Chapter 19 Learning More
Data-analyse : 10 hours
Chapter 1 Linear modeling: linear regression & ANOVA
Chapter 2 Logistic modeling
Chapter 3 Survival analysis: Kaplan Meier curve and Cox modeling
Chapter 4 Mixed model
Who will the course benefit?
Working professionals who wish to gain expertise in SAS and become a SAS Programmer.
Knowledge of statistics or mathematics is an asset. Post-Doc, Ph.D, Master, Bachelor, MD,
PharmB, PharmD, Nurse or certificate university or college degree in Life Science, Computer
Science, Statistics, Biostatistics, Epidemiology, Marketing, Demography or Business
Intelligence. Have already experience using other programming tools is an asset (SPSS, STATA, R,
JAVA, PHYTON, MySQL).
What skills will the student gain?
After completing this course candidates should have good experience in programming and data
management using SAS 9.4 and should be able to:
Import and export raw data files;
Manipulate and transform data;
Combine SAS data sets;
Create detail and summary reports using SAS procedures;
Identify and correct data, syntax and programming logic errors;
Cleaning database for missing, outliers, invalid data;
Correcting errors in data and performing data integrity;
Writing and interpreting SAS SQL code;
Performing SQL Joins as inner, outer, full, union, cross and natural joins;
Performing complex SQL joins;
Creating and using SQL views and index for database performance;
Performing creation deletion updating in database with SQL language and data step;
Creating and using the SAS MACRO facility;
Extract Prepare explore and analyse data;
Using linear, Logistic, COX and mixed modeling with SAS;
Implementing Kaplan Meier curve with SAS;
Performing SAS graph.
Info: firstname.lastname@example.org or email@example.com
Phone 0015145531300 / 0015149619351