Data Analysis Training Using SAS

All 3 days only R8000.00 (Excl. VAT) per delegate

Johannesburg Mon 03rd – Wed 05th Dec

About this course

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. 

  • It is a fast, powerful statistical package designed for researchers and data analysts of all disciplines.
  • It is powerful for statistical analysis, econometric and data mining.
  • It is also useful for data management and data warehousing. It can also interact with other databases.
  • SAS is a comprehensive set of statistical tools, integrated to run descriptive statistics, regression, advanced statistics and more.
  • SAS is a versatile statistical analysis software and makes use of both point-and-click and programming interface.
  • It enables users to produce automated reports in different formats including HTML and PDF.
  • Many organisation such as government departments, NGOs and private companies SAS making SAS a universal skill.
  • One of the main advantages of SAS is its versatility in analysing different types of data across different fields from social research, health research to business intelligence. As a result, it is considered by many to be one of the top three statistical packages.
Course Content

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:

Day 1 - Learn to Use SAS

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

Day 2 – Data Analysis: Descriptive statistics and Subgroup analysis

Introduction to descriptive statistics

Making sense of data: more descriptive statistics

Subgroup analysis

Plotting and manipulating SAS graphs

Day 3 - Hypothesis testing and inferential statistics

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

Functional outcomes

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.

Who Should attend
  • Researchers
  • Biostatisticians
  • Research Analysts
  • Data analysts
  • HODs
  • Clinicians
  • Epidemiologists
  • Programme managers
  • Market Researchers
  • Clinical and Medical researchers
  • Scientists
  • Government Practitioners

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:

Rose More
Tel: +27 11 027 7708 / +27 11 403 1411

Price Includes
  • Course attendance
  • Full refreshments: lunch
  • Welcome tea
  • Two breaks for tea including pastries
  • Course lecture notes and training manual
  • Complimentary parking
  • Certificate of attendance