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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.

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.

Testimonials

“You can tell the trainer is passionate about his work and it rubs off on the class.  One of the best training facilitators I have had the pleasure to work with.”

“The training uses a good communication model. Theory, practice then work an exercise on our own and review. We did this for each major chapter and it worked really well. Kept my interest!”

“We discovered huge opportunities in our historical data and they had been sitting there for years, right under our nose!  I am excited to move on to my next project and so is my company.”

“ Great class!  I can’t wait to sign up for the next topic.”

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