What you'll get
- 123+ Hours
- 18 Courses
- Mock Tests
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- The program covers a comprehensive range of SAS modules, including SAS Base, SAS/GRAPH, SAS/STAT, SAS/ODS, PROC SQL, Advanced SAS with Macros, SAS Enterprise Guide, and predictive modeling techniques and business analytics applications.
- Participants receive one year of full access to all course materials.
- This program is designed for individuals seeking to master SAS and pursue a career in data analytics or related fields.
- A basic understanding of mathematics and data concepts is recommended to ensure effective learning.
- Participants earn certificates of completion for each course and gain hands-on project experience to strengthen practical skills.
- Official course completion certificates are issued upon successful completion.
- Verifiable certificate links are provided, allowing participants to showcase their SAS expertise on their resume or LinkedIn profile.
- The program is delivered as a self-paced video training, enabling participants to progress at their own convenience.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| SAS - Business Analytics using SAS | 10h 45m | ✔ | View Curriculum |
| SAS - Predictive Modeling with SAS Enterprise Miner | 9h 19m | ✔ | View Curriculum |
| SAS and Quantitative Finance | 3h 29m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| SAS/STAT | 8h 18m | ✔ | View Curriculum |
| Logistic Regression Project using SAS Stat | 4h 26m | ✔ | View Curriculum |
| Poisson Regression Project using SAS Stat | 2h 21m | ✔ | View Curriculum |
| SAS - An Introduction | 1h 5m | ✔ | View Curriculum |
| Categorical Data Analysis using SAS | 7h 16m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Certified SAS Base Programmer | 12h 2m | ✔ | View Curriculum |
| SAS Advanced Programming | 10h 7m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| SAS/ODS (Output Delivery System) | 9h 36m | ✔ | View Curriculum |
| SAS PROC SQL | 13h 49m | ✔ | View Curriculum |
| SAS Enterprise Guide (SAS-EG) - MACROS Tutorials | 7h 25m | ✔ | View Curriculum |
| SAS Advanced - Macro | 5h 5m | ✔ | View Curriculum |
| Advanced Analytics Using SAS | 12h 22m | ✔ | View Curriculum |
| SAS/GRAPH | 2h 1m | ✔ | View Curriculum |
| SAS DS2 Programming | 4h 59m | ✔ | View Curriculum |
| SAS Advanced - SAS SQL | 3h 01m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| No courses found in this category. | |||
Description
Before exploring the SAS training curriculum, it is essential to understand what SAS is.
SAS is a comprehensive suite of integrated software tools. Its capabilities range from basic business analysis to advanced statistical modeling, as well as reporting, data management, BI visualization, and other analytical functions.
In summary, SAS is an advanced platform for data analysis and statistical computation.
SAS stands for Statistical Analysis System and was developed by the SAS Institute. It remains a leading solution for commercial analytics, BI, and statistical evaluation. SAS manages and processes large, complex datasets to generate insights that support informed decision-making, performance evaluation, and forecasting. SAS enables organizations to manage data, generate reports, build BI applications, and perform statistical modeling. It also offers tools for machine learning and big data analytics.
SAS can access, modify, manage, and retrieve data from multiple sources. Common applications include:
- Multivariate data analysis
- Business intelligence and reporting
- Predictive modeling and machine learning
SAS is a fourth-generation programming language developed primarily for business and commercial software. It simplifies programming by requiring minimal coding, which reduces development time and cost.
Sample Certificate
Requirements
- This SAS training program is technical. Participants should be comfortable with basic concepts to ensure a smooth learning experience.
- A strong understanding of Microsoft Excel is highly preferred, as it serves as the primary tool for most analysts and provides a foundation for learning SAS.
- Experience with a programming language is helpful but not required.
- Familiarity with Excel Macros is helpful for understanding automation topics.
- Basic exposure to SQL syntax is beneficial but not mandatory.
- Foundational knowledge in mathematics and statistics will help with understanding analytical concepts.
- Learners with degrees in Engineering, Science, or Mathematics are typically well-prepared for this training.
Target Audience
This SAS program is ideal for individuals seeking to advance their careers in analytics, including:
- Analysts using other tools who want to broaden their opportunities by gaining SAS expertise.
- Professionals from non-analytics backgrounds who want to transition into business analysis and value SAS for its broad applicability and industry demand.
- Recent graduates seeking to pursue roles in business intelligence and data analytics.
- Managers, functional leads, and decision-makers who seek to enhance their organizations by adopting SAS as a core analytical tool.
- Consultants and entrepreneurs developing solutions or services based on SAS.
