Course Highlight:
Instructor Laura Ryan Discusses New Live Web JMP Course
Live Web courses are quickly becoming a favorite among SAS Education
students. Students report that the ease of use, ability to ask questions
and lack of travel time and expense make Live Web a viable alternative when
they can't attend a course in person. Now students can also take advantage
of several new JMP courses that are new to the Live Web curriculum,
including JMP Software: Design and
Analysis of Experiments. Instructor Laura Ryan tells us a little about
the class, which debuts for Live Web Feb. 5.
What experience have you gained that helps you teach this course?
I studied math as an undergraduate, and then went to graduate school to get a Master's degree in math education. After that, I taught high school for two years, including advanced placement statistics. This is when I first started to use JMP. I enjoyed teaching statistics so much that I returned to graduate school, this time for a Master's degree in applied statistics. And of course I have used JMP every day since starting at SAS a year ago.Who would benefit most from attending this course?
The JMP Software: Design and Analysis of Experiments course is an excellent class for engineers and scientists involved in product and process development, as well as for Quality professionals.What will students gain from attending this course?
Students will benefit from a general review of some basic statistical concepts. But, most importantly, they'll have a thorough overview of not only classic experimental designs, but also the Custom Design platform in JMP. This platform is one of JMP's best features. It allows the experimenter to fit a design to the problem rather than having to fit the problem to a classic design. It gives the experimenter the most flexibility as compared to any other design.What business needs does this course address?
This course helps people run efficient, effective and accurate experimental designs. This course also arms people with the information to interpret the results of such designs meaningfully.What tangible results do you hope students will see after taking this class?
Students will be able to run more efficient designs that should help them two-fold: to extract information to help plan future experiments and to determine optimum conditions for operating their processes.Register for this class.
Comments:
"Laura has a very good grasp on the subject and handled the course so that the flow was very good. She covered all the topics in time. JMP Software: Design and Analysis of Experiments provides very practical knowledge on how to use JMP software and the various applications.""Laura was an excellent instructor. She had a very strong knowledge of the subject matter and of statistics in general. She had a very good ability to make new and complex material understandable to us 'laymen.'"
"One of the best instructors I've encountered. Good balance between 'how to' and importance of various methods/tools."