What you'll get
- 57+ Hours
- 9 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Builds practical expertise in forecasting and time-series analysis using SAS tools.
- One year of uninterrupted course availability.
- Open to learners committed to mastering forecasting and time-series techniques with SAS.
- Foundational understanding of SAS is recommended.
- Completion certificates for all 9 modules, along with hands-on project work.
- Course-completion credentials for every individual course.
- Each certificate includes a unique verification link suitable for resumes and LinkedIn profiles.
- Self-paced video-based online training.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| SAS and Quantitative Finance | 3h 29m | ✔ | View Curriculum |
| SAS - Business Analytics using SAS | 10h 45m | ✔ | View Curriculum |
| 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 |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Advanced Analytics Using SAS | 12h 22m | ✔ | View Curriculum |
| SAS/GRAPH | 2h 1m | ✔ | View Curriculum |
| SAS - Predictive Modeling with SAS Enterprise Miner | 9h 19m | ✔ | View Curriculum |
| Categorical Data Analysis using SAS | 7h 16m | ✔ | View Curriculum |
Description
This program introduces learners to professional methods of analyzing sequential data and generating accurate forecasts through SAS. It emphasizes both theoretical understanding and practical execution, enabling participants to work confidently with historical and real-time datasets. The curriculum is structured to gradually develop technical competence in statistical modeling, predictive analysis, and SAS-based implementation. Designed with industry relevance in mind, the training equips learners with skills that align with modern analytics and data-driven decision-making environments.
Sample Certificate
Goals
- Develop proficiency in SAS for time-series modeling and forecasting.
- Strengthen analytical thinking for interpreting historical and live datasets.
- Build practical skills applicable to business and research analytics.
- Prepare learners for professional roles in data-focused industries.
Objectives
- Understand core time-series concepts, including trends, seasonality, and cycles.
- Apply SAS programming techniques to forecasting scenarios.
- Interpret analytical outputs for informed decision-making.
- Complete guided projects that simulate real-world datasets and business cases.
- Build confidence in predictive modeling workflows.
Highlights
- Structured curriculum covering beginner to advanced forecasting methods.
- Nine comprehensive modules with certification for each.
- Real-world projects and case-based exercises.
- One-year access for flexible learning.
- Verifiable digital certificates with shareable links.
- Self-paced video lessons suitable for varied schedules.
- Industry-oriented content aligned with analytics careers.
Requirements
- Basic familiarity with SAS programming.
- General computer literacy.
- Interest in analytics, statistics, or predictive modeling.
- Motivation to build in-demand technical skills.
Target Audience
- Aspiring data analysts and data scientists.
- Business and research professionals seeking forecasting skills.
- Students exploring careers in analytics and statistical modeling.
- Working professionals aiming to upgrade their technical capabilities.
- Beginners with fundamental SAS knowledge who want structured guidance.
FAQ
Q1. Is prior programming experience mandatory?
A basic understanding of SAS is helpful, but advanced coding experience is not required.
Q2. How long is the course accessible?
Learners receive 1 year of full access from the date of enrollment.
Q3. Are certificates verifiable?
Yes, each certificate includes a unique verification link that can be shared online.
Q4. Is the training live or recorded?
The course is delivered through recorded video lessons for self-paced learning.
Q5. Does the course include practical projects?
Yes, multiple hands-on projects are integrated into the curriculum.
Career Benefits
- Enhances employability in data analytics and forecasting roles.
- Strengthens resumes and professional profiles with verified credentials.
- Builds job-ready skills in statistical modeling and SAS tools.
- Supports career transitions into data science, business analytics, and research domains.
- Improves analytical decision-making capabilities valued across industries.
