SAS Analytics provides an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From dynamic visualization to predictive modeling, model deployment, and process optimization, SAS provides a range of techniques and processes for the collection, classification, analysis, and interpretation of data to reveal patterns, anomalies, key variables, and relationships, leading ultimately to new insights and better answers faster. This instructor-led course provides students with the knowledge and skills to leverage SAS tool to analyze data about customers, suppliers, operations, performance and more.
Instructor led
SAS Base
Introduction to SAS
SAS programs
Accessing data
Producing detail reports
Formatting data values
Reading SAS data sets
Reading spreadsheet and database Data
Reading raw data files
Manipulating data
Combining data sets
Creating summary reports
Certificate of participation in ‘Statistical Analysis Software’ course