UPCOMING CLASSES

Industrial Data Analyst Certification

A comprehensive course covered in 10 weeks – 4 hr / week sessions includes all the material from the five courses shown below. This prepares participants to finish their Industrial Data Analyst certification by passing the certification exam and completing their project. In a special offering with Penn State’s Innovation Park, and local PA MEP partners from State College, Pittsburgh and York, we will be joining a panel of trainers to learn the bread and butter data analysis techniques as they apply to manufacturing and industry. Participants can join us at live at several locations or may attend remotely / online.

Click HERE for more details and how to sign up.

Big Data Management and Analysis

Every manufacturer has electronic databases on the performance of their processes and products, but very few leverage this information to improve their success. This training shows you the data manipulation and statistical analysis tools you need to uncover hidden relationships, identify opportunities for improvement and troubleshoot process problems. In this first course to becoming a Certified Industrial Data Analyst, you’ll be doing not watching, as we analyze historical data from Owens-Illinois, St Mary’s Carbon, Boeing, Hallmark Cards, Intuitive Surgical, Black & Decker and more.

Click HERE for all Big Data Management and Analysis Classes.

Statistical Analysis for Data-Based Decision Making

The principles of confidence intervals and hypothesis testing are the foundation of statistical analyses assuring the accuracy of all data-based decisions. In this training you will learn to apply statistical tests to compare processes, performance to target and paired populations. Compare variability or defect levels for two or more designs, machines, raw materials or processes using variance and proportion tests. Determine the right sample size for each study using power analysis. Finally, apply regression techniques to establish statistically significant relationships, y = f (x1, x2, x3 …….), between input and output variables, then use these models to optimize your process. In this 2nd course to becoming a Certified Industrial Data Analyst, you’ll be doing not watching, as we analyze examples from Gore-Tex, DepoMed, Quantum Silicone, Merek Millipore, Apple, Corning Inc., 3M, Keurig and more.

Click HERE for all Statistical Analysis for Data-Based Decision Making Classes.

Quality Analysis for Process and Product Validation

This course demonstrates how to meet FDA, automotive and medical device requirements for product and process validation. Discover the techniques that your suppliers should implement to ensure incoming materials and components meet your Quality requirements. Provide customers with proof of process capability for both normal and non-normal data.  Use Gage Repeatability & Reproducibility studies to determine if your measurement systems are capable, including Attribute Agreement Analysis for visual inspection. Based on Statistical Process Control (SPC) principles, implement the correct control chart and sampling plan for your manufacturing process. In this 3rd course to becoming a Certified Industrial Data Analyst, you’ll be doing not watching, as we work through Quality systems from DuPont, Kraft Foods, Restek, Bayer, Goodyear Tire, Smith & Nephew, Harley Davidson, and more.

Click HERE for all Quality Analysis for Process and Product Validation Classes.

Design of Experiments for Process Improvement

This experimental design (DOE) course demonstrates how to optimize process and product performance.  Master the 5 design characteristics that make factorial experimentation more efficient and successful than any other approach. Apply the 7 step method to execute the sampling plan to determine cause and effect relationships in your process.  Discover main and interaction effects, quantify them, then leverage the experimental results to model the input-output relationships.  Use data visualization graphics and numerical response optimization methods to achieve optimal performance. In this 4th course to becoming a Certified Industrial Data Analyst, you’ll be doing not watching, as we analyze experiments from Tarkett Flooring, Valspar, Corning, Inc., Merek, Ethicon, Sigma Millipore, Dow Chemical and more.

Click HERE for all Design of Experiments for Process Improvement Classes.

Advanced Design of Experiments and Gage R&R

In this second course on design of experiments, learn to optimize the settings of operational variables using the Central Composite to develop higher order response models. Or reduce your run count using the Box-Behnken design. Determine the run replication and repeat sampling plan to improve power and decrease error variation. Compare Plackett-Burman, Definitive Screening and Fractional Factorial screening designs to find your best approach to reduce a long list of input variables to the vital few. Finally, design and analyze a Gage R&R study for any non-standard conditions such as gage comparisons, destructive tests, round-robin and multivariate experiments. As we finalize your mastery of DOE, you’ll be doing not watching, recreating and analyzing experiments from the University of California, Stryker, Arconic, American Minerals , Ethicon, DuPont, Lonza Biotechnology, Caterpillar, Synflex American and more.

Click HERE for all Advanced Design of Experiments and Gage R&R Classes.

Industrial Data Analyst Certification Exam

The Industrial Data Analyst Certification Exam is one way our training participants demonstrate proficiency as a data analyst. The examination is administered upon completion of the intensive 5 day training program and all key analysis tools, interpretation of output and implementation of results The exam consists of two parts. The take-home portion of the exam covers software skills and interpretation of the output as well as determining the right tool to use for each scenario. The timed portion of the exam consists of 85 multiple choice questions allowing participants to demonstrate their general knowledge of data analysis as applied to manufacturing, industrial process improvement and variation reduction.

Click HERE for more details and how to sign up.

Industrial Data Analyst Certification Project

The Industrial Data Analyst Certification Project will teach participants how to carry out and implement the data analysis required to reduce variation, defects, manufacturing costs, and product development time or bottlenecks in an industrial environment. The goals of the certification project are twofold. First, the participant will practice classroom skills in the workplace to experience first-hand, the power of their new skillset and to demonstrate its value to colleagues, supervisors and their employer. Secondly, the trainee’s employer will have spent significant time and money on the program and should rightfully expect to see a return on their investment. The typical certification project will have a $50 – 100K return. The second goal of the certification project is to bring that return back to the employer. Financial impact as an outcome is a requirement. JMC provides coaching from experienced statistician / project leaders to make sure this happens.

Click HERE for more details and how to sign up.