What you'll get
  • 123+ Hours
  • 18 Courses
  • Mock Tests
  • Course Completion Certificates
  • Self-paced Courses
  • Technical Support
  • Case Studies

Synopsis

  • Covers a wide spectrum of SAS modules, including Base SAS, SAS/GRAPH, SAS/STAT, SAS/ODS, PROC SQL, Advanced SAS with Macros, SAS Enterprise Guide, predictive modeling, and business analytics.
  • Provides one-year unlimited access to all learning materials.
  • Designed for professionals aiming to gain mastery in SAS and pursue careers in data analytics or related fields.
  • Requires foundational knowledge in mathematics and data handling concepts.
  • Participants earn certificates upon completion of each module and gain hands-on project experience.
  • Certificates include verifiable links suitable for resumes and LinkedIn profiles.
  • Delivered through self-paced video modules for flexible learning.

Content

Courses No. of Hours Certificates Details
SAS - Business Analytics using SAS10h 45mView Curriculum
SAS - Predictive Modeling with SAS Enterprise Miner9h 19mView Curriculum
SAS and Quantitative Finance3h 29mView Curriculum
Courses No. of Hours Certificates Details
SAS/STAT8h 18mView Curriculum
Logistic Regression Project using SAS Stat4h 26mView Curriculum
Poisson Regression Project using SAS Stat2h 21mView Curriculum
SAS - An Introduction1h 5mView Curriculum
Categorical Data Analysis using SAS7h 16mView Curriculum
Courses No. of Hours Certificates Details
Certified SAS Base Programmer12h 2mView Curriculum
SAS Advanced Programming10h 7mView Curriculum
Courses No. of Hours Certificates Details
SAS/ODS (Output Delivery System)9h 36mView Curriculum
SAS PROC SQL13h 49mView Curriculum
SAS Enterprise Guide (SAS-EG) - MACROS Tutorials7h 25mView Curriculum
SAS Advanced - Macro5h 5mView Curriculum
Advanced Analytics Using SAS12h 22mView Curriculum
SAS/GRAPH2h 1mView Curriculum
SAS DS2 Programming4h 59mView Curriculum
SAS Advanced - SAS SQL3h 01mView Curriculum
Courses No. of Hours Certificates Details
No courses found in this category.

Description

This SAS Mastery Program equips learners with in-depth knowledge of SAS, a leading platform for data management, statistical analysis, and business intelligence. SAS (Statistical Analysis System) is a robust software suite developed by the SAS Institute, widely recognized for its ability to handle complex datasets, generate actionable insights, and support decision-making through predictive analytics and reporting.
The program guides participants from fundamental SAS operations to advanced topics, including macro-based automation, data visualization, enterprise analytics, and predictive modeling. Practical exercises and real-world projects reinforce theoretical concepts, ensuring learners can apply their skills immediately in professional environments.
SAS simplifies programming with its fourth-generation language, reducing coding complexity and development time, making it ideal for professionals aiming to excel in analytics with minimal technical overhead.

Sample Certificate

Course Certification

Goals

  • Build comprehensive expertise across all major SAS modules.
  • Develop practical skills in statistical analysis, data visualization, and predictive modeling.
  • Enable participants to leverage SAS for business intelligence, reporting, and decision-making.
  • Prepare learners to achieve recognized SAS certification to enhance career opportunities.

Objectives

By completing this program, participants will be able to:
  • Navigate and use SAS Base, SAS/STAT, SAS/GRAPH, and SAS Enterprise Guide confidently.
  • Execute data manipulation, retrieval, and management tasks from diverse data sources.
  • Apply advanced analytics, including regression, forecasting, and predictive modeling.
  • Automate repetitive processes using SAS Macros.
  • Create interactive reports, dashboards, and visualizations for business insights.
  • Translate analytical outputs into actionable recommendations for organizations.

Highlights

  • Full coverage of all essential SAS modules.
  • Practical projects designed to implement and reinforce concepts in real-world situations.
  • Self-paced learning with lifetime-access flexibility.
  • Official certificates with verifiable links for professional use.
  • Focus on business analytics, predictive modeling, and BI applications.
  • Expert-led content that bridges theory with practical application.

Requirements

  • Basic understanding of mathematics and data concepts.
  • Proficiency in Microsoft Excel (essential for SAS operations).
  • Familiarity with programming languages and Excel Macros is advantageous but not mandatory.
  • Basic SQL knowledge helps understand database interactions.
  • Degrees in Engineering, Science, or Mathematics provide a strong foundation.

Target Audience

This program is ideal for:
  • Analysts seeking to expand their toolset with SAS expertise.
  • Professionals from other domains aiming to transition into data analytics or business intelligence.
  • Recent graduates pursuing careers in analytics, data science, or BI.
  • Managers, team leads, and decision-makers looking to implement SAS-driven insights in their organizations.
  • Consultants and entrepreneurs creating analytics-based solutions.

FAQ

Q1. How long will I have access to the course materials?
Participants receive one year of full access to all videos, projects, and resources.
Q2. Are there any prerequisites for this program?
Learners should have a basic understanding of mathematics and be proficient in Excel. Programming or SQL experience is helpful but optional.
Q3. Will I receive a certificate?
Yes, official certificates are issued upon successful completion of each module, including verifiable links for resumes and LinkedIn.
Q4. Is this course self-paced?
Yes, learners can progress through the video-based training modules at their own pace.

Career Benefits

  • Gain recognized SAS certification to enhance career credibility.
  • Acquire practical analytics skills applicable to business intelligence, data analysis, and predictive modeling roles.
  • Increase employability in data-driven industries, including finance, consulting, healthcare, and marketing.
  • Open doors to career advancement as a data analyst, business analyst, BI developer, or SAS consultant.
  • Strengthen capability to make data-backed decisions and drive organizational growth.