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.

 

Course

Methods of Assessment      

Credit Assessment

Introductory Statistics for Credit
Both Statistics 1 - Probability and Study Design and Statistics 2 -  Inference and Association must be completed - 8 weeks.

The methods of assessment are quizzes, examinations, and weekly homework assignments with a minimum passing score of 70 percent.

In the lower-division baccalaureate/ associate degree category, 3 semester hours in statistics.

Biostatistics for Credit
Both Biostatistics 1 and 2 for Medical Science and Public Health must be completed - 8 weeks.

The methods of assessment are quizzes, examinations, and weekly homework assignments with a minimum passing score of 80 percent.

In the graduate degree category, 3 semester hours in biostatistics.

Advanced Optimization

The methods of assessment are weekly homework assignments with a minimum passing score of 80 percent. In the graduate degree category, 3 semester hours in operation researches or quantitative methods.

Categorical Data Analysis

 

 

The methods of assessment are quizzes, examinations, and weekly homework assignments with a minimum passing score of 80 percent.

In the graduate 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.

Decision Trees and Rule Based Segmentation

The methods of assessment are quizzes, examinations, and weekly homework assignments with a minimum passing score of 70 percent.

In the upper-division baccalaureate degree category, 3 semester hours in data mining or computer data management.

Financial Risk Modeling

 

The methods of assessment are quizzes, examinations, and weekly homework assignments with a minimum passing score of 70 percent.

In the graduate degree category, 3 semester hours in finance or econometrics.

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 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.

Introduction to Analytics using Hadoop

 

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 computer science or programming.

Introduction to Optimization

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.

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.

Introduction to Social 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 sciences or information systems.

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 information technology.

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 data science.

Predictive Analytics 3 - Dimension Reduction, Clustering, and Association Rules

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, 2 semester hours in business analytics, predictive analytics, or data mining.

Predictive Analytics 2 - Neural Nets and Regression

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.

R Programming - Introduction 1

 

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 science, information systems, or statistics.

R Programming - Introduction 2

 

The methods of assessment are weekly homework assignments and final project 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 statistics.

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, information systems, 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.

Risk, Simulation and Queuing

The methods of assessment are quizzes, examinations, and weekly homework assignments with a minimum passing score of 80 percent.

In the graduate degree category, 3 semester hours in statistics or decision sciences.

Sentiment Analysis

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 or text data mining.

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 or geospatial analysis.

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 computer science or programming.

Survival Analysis

The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 70 percent.  n 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 or information systems.


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

Is your school part of the ACE CREDIT College and University Network?

Yes

No

 

 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.

 

 

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