Quantitative Data Management and Analysis using SAS

The Quantitative Data Management and Analysis with SAS course is designed to provide participants with the necessary skills and knowledge to effectively manage and analyze quantitative data using SAS software. SAS is a widely-used tool in the field of data analysis and statistics. This course aims to equip participants with the techniques and best practices for data management, manipulation, and analysis using SAS. 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.

Program Objectives:

• 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 informants, 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