Unlock the Power of Data Analysis with SAS

SAS (Statistical Analysis System) is a comprehensive analytics platform that enables data analysts, scientists, and business users to manipulate and analyze data, create predictive models, and drive business insights. With SAS, you can extract insights from large datasets, identify trends, and make informed decisions.

Course Overview

In this comprehensive SAS course, you'll learn the fundamentals of SAS programming, data manipulation, and data analysis. You'll discover how to use SAS to create predictive models, forecast future trends, and drive business insights.

Course Objectives

- Understand the basics of SAS programming and data manipulation

- Learn how to import, clean, and transform data using SAS

- Master the art of data analysis and reporting using SAS

- Develop skills in predictive modeling and forecasting using SAS

- Learn how to use SAS to drive business insights and inform decision-making

- Discover how to use SAS's advanced features, including machine learning and text analytics

Course Topics

- Introduction to SAS and its features

- SAS programming fundamentals, including data manipulation and analysis

- Data import, cleaning, and transformation using SAS

- Data analysis and reporting using SAS

- Predictive modeling and forecasting using SAS

- Advanced SAS features, including machine learning and text analytics

- Best practices for using SAS in a business environment

Who Should Take This Course

- Data analysts and scientists who want to learn SAS programming and data analysis

- Business users who want to learn how to use SAS to drive business insights

- IT professionals who want to learn how to implement SAS in their organization

- Anyone who wants to learn how to use SAS to analyze data and drive business insights

What You'll Achieve

- A solid understanding of SAS programming and data manipulation

- The ability to import, clean, and transform data using SAS

- The skills to develop predictive models and forecasts using SAS

- A foundation for further learning in data analysis and machine learning

- A portfolio of SAS projects to showcase your skills

Prerequisites

- Basic understanding of data analysis and statistics concepts

- Familiarity with programming concepts and syntax

Course Format

- Online video lessons

- Interactive exercises and quizzes

- Downloadable resources and examples

- Private online community for discussion and support

Duration

- Self-paced course with 15+ hours of video lessons

- 6-8 weeks of interactive exercises and quizzes

Certification

- Certificate of completion upon finishing the course

- Badge and recognition on your online profile