Johannesburg Mon 03rd – Wed 05th Dec
Statistical Analysis System, SAS, is the analytical leader offering an easy to use statistical software used to solve a variety of research problems and for business intelligence. It provides a wide range of capabilities such information retrieval and data management, simple and complex data analysis. SAS enterprise guide makes it easy to conduct data cleaning and management, graphics, descriptive analysis and advanced analysis. Like Stata and SPSS, SAS is considered one of the most powerful statistical packages for data management and analysis.
SAS is used by many research institutions, business organisations, governments and universities for a number of reasons. Some are provided below.
The course is suitable for individuals who are new to SAS or who feel they would benefit from a refresher course. No prior knowledge of SAS is assumed; however, knowledge of basic statistics (e.g., p-values, significance tests) is advantageous. The course objectives include introducing participants to SAS and SAS files. They will learn to use SAS for data cleaning, management and statistical analysis including importing other types of data files like Excel, into SAS. The theory behind the statistics will be explained and participants will be able to interpret statistical outputs. They will also achieve the understanding of descriptive statistics, confidence intervals, p-values and bi-variate inferential statistics (hypothesis testing). They will also improve their skills to critically analyse research reports. The three-day training will teach participants the following:
Study designs and data collection methods
From variables to datasets
Introduction to SAS
Explore the capabilities of SAS
Functionality of SAS components
Importing data from Microsoft Excel to SAS
Introduction to descriptive statistics
Making sense of data: more descriptive statistics
Plotting and manipulating SAS graphs
Cross-tabulation and chi-square test
Risk factor analysis
Different types of statistical tests
Measures of effect
Is the association confounded: understanding confounding?
Multivariate regression: theory and introduction to practice
Class exercise and presentations
After the training, participants will be able to take raw data collected in their settings, clean them, summarise them, analyse them and take appropriate action. They will also achieve the understanding of descriptive statistics and bi-variate inferential statistics. They will also be able to critically review research reports and papers. In addition to this, participants will be able to use SAS in their practical professional work to produce neat and reproducible analysis outputs.
This course if for those who want to heighten their knowledge of data management and analysis and improve the quality of their outputs. Priority will be given to participants who have some experience with data analysis using Stata or similar software, as well as those who have attended CESAR’s Stata course in the past.
For more details about our services contact:
Tel: +27 11 027 7708 / +27 11 403 1411