Statistical Computing with SAS provides an in-depth exploration of statistical analysis and data manipulation using the SAS software environment. The course is structured around hands-on projects that allow participants to apply theoretical knowledge to real-world datasets, enhancing their analytical skills and proficiency in SAS. Participants will engage in interactive sessions that emphasize practical applications, culminating in a final project where they can showcase their findings and potentially publish in Cademix Magazine.
Throughout the course, learners will delve into various statistical techniques and data management strategies, equipping them with the tools necessary to analyze complex datasets effectively. By the end of the program, participants will have developed a robust understanding of statistical modeling, data visualization, and the application of SAS in diverse fields. This course is tailored for individuals seeking to enhance their data analytics capabilities, providing them with the expertise to meet the demands of today’s job market.
Introduction to SAS and its Interface
Data Import and Export Techniques
Data Cleaning and Preparation Methods
Descriptive Statistics and Data Summarization
Inferential Statistics: Hypothesis Testing
Regression Analysis: Linear and Logistic Models
ANOVA and its Applications
Time Series Analysis and Forecasting
Data Visualization Techniques in SAS
Final Project: Comprehensive Data Analysis using SAS