Industrial Data Analyst Training
August 14, 2023 @ 1:00 pm - October 2, 2023 @ 5:00 pm
| $1,275.00Description
Certification as an Industrial Data Analyst will open new opportunities at your workplace and even change the course of your career. In this unique learning opportunity, we’ll be offering all five days of training leading to certification as an Industrial Data Analyst in an online format spread out over the course of the fall semester. Local manufacturing professionals, JMC expert trainers and local Industrial Engineering upperclassmen will come together to learn the bread and butter tools every engineer should know. Join us at Penn State University or online every Monday, August 14 – October 2, 2023, 1 – 5 to learn Big Data Analytics, Measurement System Analysis, Decision Tree Classification, Design of Experiments, Statistical Process Control, Multiple Linear Regression, Hypothesis Testing, Advanced DOE, Process Capability, Non-normal Data Techniques and much more. In this complete course for becoming a certified Industrial Data Analyst, you’ll be doing not watching, as we analyze historical data from companies across the US, in all industries. Contact us for details.
You’ll learn all the key tools that every professional should know to make good engineering decisions from your data!
Comprehensive Program
This 10 week training will provide all the skills you need to make the impact you always knew you could make back at work. Only now you’ll have the data on your side. You will also qualify to take the exam for Industrial Data Analyst certification.
Peers
Participants include engineers, technicians and scientists from the Pittsburgh, Columbus and State College area as well as upper classmen from Industrial Engineering at Pitt, OSU and PSU providing a great networking opportunity.
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.”