ATI's Data Mining and Analysis Using JMP course

Summary: This two-day course will enable the participant to statistically analyze data sets, make conclusions based on the objectives of the tests, and graphically present results. It will also show how to plan the most efficient experiment or test which will prove or disprove the objectives of the experiment or test. Many Fortune 100 companies have began to standardize their data analysis by using powerful and commercially available statistical software. As a result, they have realized significant savings and increased productivity from their engineering, process control and R&D professionals. These companies apply statistical methods and statistically-designed experiments to their critical manufacturing processes, product designs, and laboratory experiments. This course will start with JMP, which will be used to analyze data and test for statistical significance. It will then survey design and analysis of experiments, how to strip the many variables into the vital few important factors and how to optimize the process yield. The course is taught with each participant assigned to a group that performs statistical analysis using the modern statistical software called JMP from SAS Institute. Students may bring their actual test or experimental data for the whole class to use as case studies. Instructor: Dr. Manny Uy is a member of the Principal Professional Staff at The Johns Hopkins University Applied Physics Laboratory (JHU/APL). Previously, he was with General Electric Company, where he used statistical techniques to improve many manufacturing processes and to increase performance of various products. At JHU/APL, he is engaged in space monitoring, reliability and failure analysis, and testing of modern instrumentation for Homeland Security. He earned a Ph.D. in physical chemistry from Case-Western Reserve University and was a postdoctoral fellow at Rice University and the Free University of Brussels. He has published over 150 papers and holds over 10 patents. At the JHU/APL, he has continued to teach courses Design and Analysis of Experiments and in Data Exploration and Experimental Analysis using SAS/JMP. What you will learn: A practical introduction to basic statistical concepts JMP statistical software and its extensive graphical data exploration capabilities. Elementary exploratory data analysis (EDA Use JMP software to learn analysis of variance (ANOVA), and linear regression. Review how to design and analyze experiments, how to find the vital few factors among the many or how to optimize the process yield Course Outline: Survey of Statistical Concepts Introduction to JMP Software Using JMP for Data Exploration Hands-on Exercises Hands-on Exercises: Linear and Non-linear Factors Using JMP for Data Analysis Advanced designs, Methods of Steepest Ascent, Central Composite Designs Case studies Summary Tuition: Tuition for this two-day course is $940 per person at one of our scheduled public courses. Onsite pricing is available. Please call us at 410-956-8805 or send an email to ati@ATIcourses.com. Register Now Without Obligation