What you'll learn
- Introduction to Predictive Modeling
- Data Preparation and Preprocessing in SAS Miner
- Exploratory Data Analysis (EDA) and Feature Selection
- Model Development: Regression, Decision Trees, Neural Networks
- Model Validation and Performance Metrics
- Solution of hands-on case studies or question paper using SAS Enterprise Miner
- Exam Strategies and the best approach for reaching the solution in the least time.
What is this course about?Â
This course is designed to help students and professionals prepare for SAS predictive modeling global exams while also providing a summarized course tablet for understanding the required concept, applications, question patterns, required approach for the solutions and a quick revision. It can be used both in terms of first exposure as well as a reference for revision. It extensively uses SAS Enterprise Miner for hands-on learning and the entire life cycle of predictive modelling. This course is applicable for any of the versions of SAS Enterprise Miner as the approach and the process is not influenced by any particular version of the software. The students and the professionals can refer this irrespective of any version of the SAS Enterprise Miner they are using. Â
Who is this course for?Â
- Students preparing for predictive modeling global certification exams.Â
- Professionals looking to refresh their knowledge in predictive analytics.Â
- SAS users who want to enhance their skills in SAS Enterprise MinerÂ
- Analysts and data scientists aiming to improve their predictive modeling capabilities.Â
- People have some basic familiarity with R / Python or open source, however they would want to have a leading enterprise analytics solution to leverage the predictive analytics application knowledge and use it across technologies.Â
- Academicians, professors or facilitators wanting to have the practical application of SAS Predictive analytics to pass on to the students.Â
- Researchers who needs to leverage a leading enterprise analytics solution for converting their knowledge and novelty into a paper for publications in research journals.Â
What are the prerequisites for this course?Â
- Basic knowledge of statistics and probabilityÂ
- Familiarity with SAS software Â
- Basic understanding of data preprocessing and exploratory data analysis (not mandatory, but some knowledge may help).Â
- 9 Sections
- 17 Lessons
- 10 Weeks
- Welcome to Neumuuv - Power of Experiential Learning1
- 1. Introduction to SAS Predictive Modelling Exam3
- 2. Data Preparation4
- 3. Decision Tree2
- 4. Regression2
- 5. Neural Network2
- 6. Model Comparison & Assessment2
- 7. Scoring1
- 8. SAS Enterprise Miner Exam Questions5
Neumuuv is an experiential learntech platform offering hands-on courses in technology, business, and soft skills. Unlike traditional edtechs, our trainers are industry professionals from top MNCs who bring real-world expertise into every session. We bridge the gap between academia and industry by preparing learners with practical, career-ready skills.
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