For additional information contact:
Mary Bellanca, Program Manager
Each 15-hour course is taken over five weeks.
Courses are also available on a contract basis.
NAME OF COURSE
|Categorical Data Analysis||
1/27/14 or 7/07/14
|Data Mining/Predictive Analytics I|
3/03/14 or 8/25/14
Data Mining/Predictive Analytics II
|Modeling with Discrete Data|
4/14/14 or 9/29/14
|Statistical Process Control|
6/02/14 or 11/03/14
|Industrial Design of Experiments|
|Introduction to R*|
|Introduction to SAS*|
*Introductory courses that may be necessary for some individuals or those who need a refresher.
Continuing Education Units
Continuing Education Units (CEUs) are nationally recognized units documenting your completion of a qualified continuing education program. They may be used for job advancement or as evidence of increased professional capabilities. To receive CEUs for any of the seminars, you will be asked to provide your Social Security number.
***For a limited time, CQAS is offering a 15% discount on ALL of our seminars (with minimum two week prior registration).*** This discount is not valid for the Lean Six Sigma Yellow Belt, Green Belt or Black Belt Programs.
Duration: 5 Weeks; Offered twice a year
Non-credit based professional certificates designed for analysts, engineers, scientists, managers, and anyone interested in statistics with the following options: industrial statistics, biostatistics, and data mining/data analytics. Each certificate consists of four courses. A custom certificate is also an option in consultation with faculty. Each course includes problem sets allowing for practice with the techniques learned. The courses for each certificate are listed below.
|Categorical Data Analysis||Regression||Data Mining I|
|Modeling with Discrete Data||ANOVA||Data Mining II|
All courses can be taken individually as well as part of a certificate and can be used as CEUs.
Industrial Statistics is designed for those who would like to enhance their knowledge of process development and continuous improvement including those who work in manufacturing, R&D, government, finance, etc.
Biostatistics is designed for those interested in the techniques needed to analyze data and draw conclusions in health-related fields such as clinical trials, health informatics, epidemiology, etc.
Data Mining/Data Analytics is designed to enhance participants' knowledge of how to analyze large data sets including data from the fields of healthcare, banking, retail, etc.
To register, contact Mary Bellanca (585) 475-5070, email@example.com