What you'll get
- 57+ Hours
- 9 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Learn to apply SAS for practical forecasting and time series analysis.
- Access to course content for one year.
- Suitable for anyone eager to master Time Series Analysis and Forecasting with SAS.
- Requires basic SAS knowledge.
- Receive Course Completion Certificates and project experience for all nine courses.
- Certificates are verifiable and shareable via unique links for resumes or LinkedIn.
- Self-paced video-based 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
Time series analysis and forecasting focus on studying historical and present data to make reliable predictions about future patterns. SAS, a user-friendly statistical programming language, is widely used for such data analysis. This training program focuses on the fundamental principles of time series analysis and forecasting, while providing hands-on experience implementing these techniques in SAS.
Sample Certificate
Requirements
- The program requires prior experience with time series forecasting in SAS.
- The program targets learners who are eager to upskill and motivated to acquire in-demand analytical expertise.
- The certification supports individuals seeking a solid foundation in predictive analysis and modeling.
- The curriculum emphasizes statistical modeling and forecasting, which are central to data science and analytics roles.
- It serves as a comprehensive learning path for those aiming to build careers in business analytics, data analytics, data science, or statistical modeling, covering concepts from introductory to advanced levels.
Target Audience
- The program targets individuals who want to build or advance a career in forecasting and time-series analysis.
- Learners with a curiosity to explore new skills are encouraged to enroll, as the course has no strict entry requirements.
- The curriculum is structured to support both beginners and experienced professionals working in, or aspiring to work in, this domain.
- A basic understanding of analytics and real-world forecasting concepts can be helpful, but is not mandatory.
- Individuals with general computer skills or exposure to predictive modeling will find the learning process smooth and accessible.
