Academic Credit

The American Council on Education's College Credit Recommendation Service (ACE CREDIT)  has evaluated and recommended college credit for these courses offered by The Institute for Statistics Education at Statistics.com. Read below for the entire list.

 

Which best describes your situation?

 I need to transfer credit to my college or university

ACE CREDIT's College and University Network is a group of more than 2,200 higher education institutions that consider ACE credit recommendations for transfer to degree programs.  Note: The decision to accept specific credit recommendations is up to each institution.

Check this list to see if your school is already part of the ACE CREDIT College and University Network

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 I need an accredited course to satisfy a prerequisite, meet a job requirement, or to obtain reimbursement from my employer.   I do not need  credit transferred to my institution.

  1. Identify the person in your organization who will approve the course you want to take; for simplicity, we will call this person the "learning coordinator".
  2. Provide your learning coordinator, the syllabus of the course along with this document, which shows Statistics.com courses as qualifying for ACE CREDIT. 
  3. Once you get the go-ahead from your learning coordinator, register for the approved course through our online registration system.
  4. When the course begins, you will be asked to specify your marking preference; select "I need a Record of Completion." You will not have to take the final exam.
  5. After you successfully complete the course, submit your Record of Completion to your learning coordinator. You may also print out your homework marks before you leave the course for your own files or to substantiate your successful completion of the course to your learning coordinator.

 

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 fnal 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.
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.

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.

Natural Language Processing

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 of 70 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 fnal 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.

Text Mining

 

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 science, information systems or cyber security.

 

 

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