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What courses earn college credit?

The Statistics.com offers 29 courses that are eligible for college credit through ACE CREDIT® (the American Council on Education’s College Credit Recommendation Service).

The following courses are eligible for college credit recommendation: 

Course

Methods of Assessment

Credit Assessment
Introductory Statistics for Credit
8 weeks		 The methods of assessment are quizzes, weekly homework assignments and a final examination, with a minimum passing score of 70 percent. In the lower-division baccalaureate/ associate degree category, 3 semester hours in statistics.
Biostatistics for Credit
8 weeks.		 The methods of assessment are quizzes, weekly homework assignments and a final examination with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in biostatistics.
Anomaly Detection The methods of assessment include quizzes, case studies, and a final project, with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in computer science, machine learning or artificial intelligence.
Categorical Data Analysis The methods of assessment are quizzes, case studies and weekly homework assignments with a minimum passing score of 70 percent. In the upper division baccalaureate degree category, 3 semester hours in statistics.
Cluster Analysis The methods of assessment are weekly assignments and a final project with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in statistics or data mining.
Customer Analytics in R The methods of assessment are quizzes and case studies with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in statistics, data mining, or programming.
NLP and Deep Learning The methods of assessment include quizzes and case studies, with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in statistics, data mining or computer science.
Epidemiologic Statistics The methods of assessment include quizzes and case studies, with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in epidemiological statistics.
Financial Risk Modeling The methods of assessment include quizzes, case studies and a final project, with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in financial risk management, financial econometrics or applied statistics.
Forecasting Analytics The methods of assessment are homework assignments and a final project with a minimum passing score of 70 percent. In the lower-division baccalaureate/associate degree category, 3 semester hours in forecasting analytics, data mining, or data science.
Interactive Data Visualization The methods of assessment are quizzes, weekly homework assignments and a final project with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 2 semester hours in computer science, computer information systems, or information technology.
Integer & Nonlinear Programming and Network Flow The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent. In the upper division baccalaureate degree category, 3 semester hours in operation research, computer programming, statistics or computer information systems.
Matrix Algebra Review The methods of assessment are quizzes and case studies with a minimum passing score of 70 percent. In the lower-division baccalaureate/associate degree category, 3 semester hours in mathematics.
Introduction to NLP with Text Mining The methods of assessment are weekly homework assignments, class posts, and short answer questions with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 2 semester hours in computer science, computer information systems, or cyber security.
Introduction to Network Analysis The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in computer science or network analysis.
Optimization – Linear Programming The method of assessment is weekly homework assignments with a minimum passing score of70 percent. In the upper-division baccalaureate degree category, 3 semester hours in mathematics or business management.
Persuasion Analytics and Targeting The methods of assessment include quizzes, case studies, and a final project, with a minimum passing score of 70 percent. In the upper-division baccalaureate/associate degree category, 3 semester hours in computer science or data mining.
Predictive Analytics 1 –Machine Learning Tools The methods of assessment are weekly homework assignments, a final project, and class posts with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in predictive analytics, data mining, or business analytics.
Predictive Analytics 2 – Neural Nets and Regression The methods of assessment are weekly homework assignments, a final project, and multiple-choice exams with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in business analytics, predictive analytics, business analytics or data mining.
Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules The methods of assessment are a final project, multiple-choice examinations, and class posts with a minimum passing score of 70 percent.  In the upper-division baccalaureate degree category, 3 semester hours in business analytics, predictive analytics, or data mining.
Introduction to Python for Analytics The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 70 percent. In the lower-division baccalaureate/ associate degree category, 3 semester hours in computer information systems, statistics, or programming.
R Programming – Introduction 1 The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent. In the lower-division baccalaureate/ associate degree category, 3 semester hours in computer programming, computer science, or information systems.
R Programming – Introduction 2 The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent. In the lower-division baccalaureate/ associate degree category, 3 semester hours in computer programming, computer science, or information systems.
R Programming – Intermediate The methods of assessment are weekly homework assignments and a final exam with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in computer science, computer programming, information systems or statistics.
Regression Analysis The methods of assessment are quizzes, a final project, and weekly homework assignments with a minimum passing score of 80 percent. In the graduate degree category, 3 semester hours in statistics or applied regression analysis.
Risk, Simulation and Queuing The methods of assessment are quizzes and weekly homework assignments with a minimum passing score of 80 percent. In the graduate degree category, 3 semester hours in statistics or decision science.
Spatial Statistics with Geographic Information Systems The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in spatial statistics, geospatial analysis or statistics.
SQL and R – Introduction to Database Queries The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent.  In the upper-division baccalaureate degree category, 3 semester hours in SQL queries, computer science or information systems.
Survival Analysis The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 80 percent.  In the graduate degree category, 3 semester hours in statistics or advanced biostatistics.