Statistical Business Analyst

Duration: 120 Hours Classroom Training

Course Introduction:

Statistical Business Analyst course is designed for SAS professionals who use SAS/STAT software to conduct and interpret complex statistical data analysis. It covers analysis of variance, linear and logistic regression, preparing inputs for predictive models, and measuring model performance.

Who should attend: It should be attended by Statisticians, researchers, and business analysts who use SAS programming to generate analyses using either continuous or categorical response (dependent) variables; as well as modelers and analysts who need to build predictive models, particularly models from the banking, financial services, direct marketing, insurance and telecommunications industries

This course helps you prepare you for the following certification exam(s): SAS Certified Base Programmer for SAS 9 , SAS Certified Advanced Programmer for SAS 9 and SAS Certified Statistical Business Analyst Using SAS 9

Course Modules

Programmig 1: Essentials

It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses

Programming 2:
Data Manipulation Techniques

Learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data.

SAS® Macro Language 1: Essentials

Learn the components of the SAS macro facility and how to design, write, and debug macro systems

SAS® SQL 1: Essentials

This course teaches you how to process SAS data using Structured Query Language (SQL)

Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression

Predictive Modeling Using Logistic Regression

Statistical Business Analyst

Case Studies in the Curriculum

Learn the application of machine learning through a comprehensive set of case studies designed by international industry experts in fields such as BFSI, Retail, E-Commerce, Cyber crime and much more

Preparing Data & Manipulation Techniques

Industry: Retail

  • Use programming approach for data preparation, manipulation & analysis purpose

Statistical Techniques

Industry: Real Estate

  • Learn basic and advanced statistical techniques on real estate and charity data

Earn SAS Verified Digital Badges

Digital badges can be used in email signatures or digital résumés, and on social media sites such as LinkedIn, Facebook and Twitter. This digital image contains verified metadata that describes your qualifications and the process required to earn them.

  • Web-enabled version of your credential that can be shared online
  • Labor market insights that connect your skills to jobs
  • Trusted method for real-time credential verification.

"Statistical Analysis is the science of collecting, exploring and presenting large amounts of data to discover underlying patterns and trends."

- Business News Daily

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