SAS Certified Associate: Applied Statistics for Machine Learning — Information & Free Practice

The authority publishes percentage ranges for each content area. The practice percentages below use the midpoint of each range, normalized to 100%; they are not exact percentages published by the authority. Practice question counts may differ slightly because of rounding.

• Statistics and Machine Learning — Official range: 9–12% (Practice allocation: 10.55%)

  • Relevance of Statistics in Big Data and Machine Learning
  • Terminology and Vocabulary
• Fundamental Statistical Concepts — Official range: 17–21% (Practice allocation: 19.1%)

  • Basics of Statistical Analysis
  • Descriptive Statistics
  • Inferential Statistics
• Explanatory Modeling Using Linear Regression — Official range: 18–24% (Practice allocation: 21.11%)

  • Correlation and Simple Linear Regression
  • Multiple Regression and Model Selection
  • Model Diagnostics
• Predictive Modeling Using Logistic Regression — Official range: 25–31% (Practice allocation: 28.14%)

  • Introduction to Predictive Modeling
  • Categorical Associations
  • Logistic Regression Model
  • Model Deployment
• Statistical Foundations of Machine Learning — Official range: 18–24% (Practice allocation: 21.11%)

  • Overview of Machine Learning
  • Data Pre-processing for Machine Learning Models
  • Model Evaluation, Estimation, and Post-training Tasks