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SAS Certified Data Scientist Exam
Lead data-driven innovation with SAS certification – where analytics meets actionable intelligence! 🚀📊
"SAS Certified Data Scientist Comprehensive Exam
What's included?
What You’ll Get
✔️ Full-Length Practice Exams – Simulate the real exam format with questions on data curation, machine learning, and model operationalization.
✔️ Real-World Projects – Analyze datasets for customer churn prediction, fraud detection, and supply chain optimization.
✔️ Deep Dive into SAS Tools – Master SAS Studio, SAS Visual Statistics, and SAS Model Manager for end-to-end workflows.
✔️ Step-by-Step Guides – Preprocess data, train models (e.g., decision trees, neural networks), and deploy APIs.
✔️ Scenario-Based Challenges – Solve issues like missing data, overfitting, bias detection, and scalability.
✔️ Detailed Explanations – Learn SAS coding best practices and the statistical theory behind algorithms.
Who Should Take This Course?
✅ Data Scientists & Analysts transitioning to SAS for advanced analytics.
✅ BI Professionals expanding into predictive modeling and AI.
✅ Statisticians leveraging SAS for machine learning and big data.
✅ Students & Career Changers targeting roles in data-driven industries.
✅ Anyone preparing for the SAS Certified Data Scientist Exam.
Why Choose This Course?
🔹 Exam-Aligned Content – Covers all domains:
Data Preparation & Quality (25-30%)
Exploratory Analysis & Feature Engineering (20-25%)
Supervised & Unsupervised Learning (30-35%)
Model Deployment & Governance (15-20%).
🔹 Hands-On SAS Labs – Practice with SAS Viya and Python integration (SASPy, Pandas).
🔹 Industry Best Practices – Learn ethical AI, reproducibility, and compliance (GDPR, HIPAA).
🔹 Career Boost – Stand out with SAS’s globally trusted certification.
Patrick Jones - Course author
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