Learn statistical techniques you can put to immediate use in the workplace.
Master the fundamentals of laboratory data treatment to solve data analysis problems. Through a combination of lectures and problem-solving sessions, this course will teach statistical techniques that can be put to immediate use in the workplace.
Participants will learn how to understand the strengths and weaknesses of data, recognize and reduce different types of errors, carry out significance tests, correctly use outlier tests, and more.
Special Notes:
Each participant should bring a hand-held calculator to the course.
Technicians, scientists, engineers, laboratory managers, R&D managers, manufacturing and production managers, and others who need to understand traditional and modern methods of data analysis.
This course assumes no previous knowledge of statistics and is aimed at both beginning and experienced workers.
Day 1
Day 2
Day 3
Five for four! Register five people for one course, one person for five courses, or any combination in between and your fifth registration is free. The free registration will be the course of the lowest price. Please note: This discount cannot be combined with any other discount offered.
Online Due to Covid-19 (9/20, 9/21, 9/22, and 9/23)
Early Bird | Full Price | |
---|---|---|
Member(Premium Package) | $1695 Ends Sep 06 | $1895 |
Member or Associate(Standard or Basic Package) | $1895 Ends Sep 06 | $2095 |
Non-Member | $1895 Ends Sep 06 | $2095 |
The course times are 11:00 AM – 1:00 PM and 2:00 – 5:00 PM for each day. Course fee includes a course manual. *Early Bird pricing ends four (2) weeks before the start date of the course.
To complete your registration, you will be asked to log in using your ACS ID. If you are not already logged in, you may enter your credentials or create an ID from the next screen.
Stanley Deming is Professor Emeritus at the University of Houston, Texas. He is President of Statistical Designs, through which he offers consulting in experimental design, optimization, and statistical analysis.