Events

09
Oct
2018

10-09-2018 8:30 am 8:30 am -5:00 pm
$375.00

Big Data Management and Analysis

Instructor:  Lou Johnson, JMC Data Experts

Date:   October 9

Time:  8:30 am - 5:00 pm

Cost:  $375

Early Bird Discount $325 by 9/14/18

Location:

Regional Learning Alliance

850 Cranberry Woods Dr, Cranberry Township, PA 16066

Description

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.

 You’ll learn 9 key tools to allow you to make good engineering decisions from your data!

• Import & Export files from excel / Access to Word / Powerpoint
• Boxplot, Individual Value, Line and Interval Plots for comparative analysis
• Coding, Extration, Subsetting and Calculator commands for data cleaning
• Time Series Analysis and Brushing for identifying shifts, groups and outliers
• Text Data manipulation and analysis
• Weighted Pareto Analysis for project prioritization
• Graph Editing and Options to improve graph content and value
• Macro Command Language to automate your data analysis
• Matrix, Scatter and Marginal Plots for developing relationships

 One Day of Full Focus
One day of training in big data analytics and you will be able to import and edit your data from any source, calculate summary statistics to support your conclusions and create graphics to effectively communicate results to your organization.

$375.00
10
Oct
2018

10-10-2018 8:30 am 8:30 am -5:00 pm
$375.00

 

Statistical Analysis for Data-Based Decision Making

Instructor:  Lou Johnson, JMC Data Experts

Date:   October 10

Time:  8:30 am - 5:00 pm

Cost:  $375

Early Bird Discount $325 by 9/14/18

Location:

Regional Learning Alliance

850 Cranberry Woods Dr, Cranberry Township, PA 16066

Description

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.

You’ll learn all key statistical analyses to allow you to make accurate conclusions from your data!

  • One & Two Sample t-tests for population comparisons
  • Anderson-Darling test for normality and alternatives
  • Tests on One & Two Proportions for defect data
  • Hypothesis Testing theory and practice
  • Sample Size Calculations for any data collection plan
  • Simple and Multiple Linear Regression for modeling relationships
  • Confidence, Prediction and Tolerance Intervals
  • Analysis of Residuals to validate regression models
  • Tests of Equal Variance for variation comparisons

Peers

Participants include other engineers, technicians and scientists providing a great networking opportunity.

Exclusive

In addition to the workshop, there are three personal 1:1 sessions available with your trainer.

$375.00
11
Oct
2018

10-11-2018 8:30 am 8:30 am -5:00 pm
$375.00

 

Quality Analysis for Process and Product Validation

Instructor:  Lou Johnson, JMC Data Experts

Date:   October 11

Time:  8:30 am - 5:00 pm

Cost:  $375

Early Bird Discount $325 by 9/14/18

Location:

Regional Learning Alliance

850 Cranberry Woods Dr, Cranberry Township, PA 16066

Description

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.

You’ll learn the SPC, Process Capability and Gage R&R tools to validate products and processes!

  • Complete understanding of a Standard Gage R&R
  • Attribute Agreement Analysis for visual inspection improvement
  • Gage Run Chart to communicate the results of your study
  • Norman SPC Rules for identifying special cause variation
  • X bar & R, I – MR, S, p, np, C and U Control Charts
  • Sampling Plans for all Quality tool studies
  • Process Capability for normal and non-normal data
  • Data transformations and Distribution Identification
  • Operator-by-Part Matrix Summary

Peers

Participants include other engineers, technicians and scientists providing a great networking opportunity.

Exclusive

In addition to the workshop, there are three personal 1:1 sessions available with your trainer.

$375.00
12
Oct
2018

10-12-2018 8:30 am 8:30 am -5:00 pm
$375.00

 

Design of Experiments for Process Improvements

Instructor:  Lou Johnson, JMC Data Experts

Date:   October 12

Time:  8:30 am - 5:00 pm

Cost:  $375

Early Bird Discount $325 by 9/14/18

Location:

Regional Learning Alliance

850 Cranberry Woods Dr, Cranberry Township, PA 16066

Description

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.

You’ll learn all the Factorial Design of Experiments tools needed to improve your process!

  • Main Effect and Interaction Plots to visualize effects
  • Response Optimizer to find your best performance
  • Contour Plots to visualize two variable effects
  • Error Estimation techniques for statistical significance
  • Two-level Designs for experiment run efficiency
  • Fractional Factorials for multivariate experiments
  • Blocking and Analysis of Covariance for reducing noise
  • Lenth’s Method for screening experiments
  • Model Reduction and Validation techniques

Peers

Participants include other engineers, technicians and scientists providing a great networking opportunity.

Exclusive

In addition to the workshop, there are three personal 1:1 sessions available with your trainer.

$375.00