Minitab Training – Online Instructor Led

We offer Minitab training online. This is a two-way  interactive web based, instructor led training, where participants and the instructor share their screens for a simulated classroom like learning experience.

 

Mode of training: Instructor led, Online training

Number of participants:

  • Option 1: One on one sessions for individuals
  • Option 2: Public batches of max 3 to 4 participants
  • Option 3: Corporate batches of up-to 20 participants

Duration of Training:

  • Duration depends on the course selected
  • Training are split in to multiple 3-4 hours sessions
  • We accommodate flexi-hours schedules based on availability of trainers.

Software requirements:

  • You will need Minitab 19 installed on your PC/Laptop for this training
  • You can use  the 30 days free trial version
  • You can purchase a licensed copy of Minitab 19 bundled with this course

We also offer special offers to corporate clients, and bundled offers to individual buyers.  For details contact us.

 

Minitab Online Training Courses

Following Minitab training options are available

Minitab Essentials

Perquisite: None.

Duration:

  • 10 to 12 hours for one on one, instructor led training
  • 12 to 14 hours for public batches of upto 3-4 participant
  • 16 hours for for corporate batches of upto 20 participants

In this foundational course you will basics of using Minitab, develop sound statistical approaches to exploring data, create and interpret compelling graphs, and export results.

Analyze a variety of real world data sets to learn how to align your applications with the right statistical tool, and interpret statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly found in manufacturing, engineering, and research and development endeavors.

Topics include:

  • Importing and Formatting Data
  • Bar Charts
  • Histograms
  • Boxplots
  • Pareto Charts
  • Scatterplots
  • Tables and Chi-Square Analysis
  • Measures of Location and Variation
  • t-Tests
  • Proportion Tests
  • Tests for Equal Variance
  • Power and Sample Size
  • Correlation
  • Simple Linear and Multiple Regression
  • One-Way ANOVA
  • Multi-Variable ANOVA

MSA & SPC using Minitab

Prerequisite: Minitab Essentials

Duration:

  • 6 to 8 hours for one one one, instructor led training
  • 8 to 10 hours for public batches of upto 3-4 participant
  • 10 to 12 hours for for corporate batches of upto 20 participants

In this follow-up course, that flows from Minitab essentials, you will develop the skills to evaluate and certify manufacturing and engineering measurement systems, and statistical process control using Minitab.

Learn the basic fundamentals of statistical process control and how these important quality tools can provide the necessary evidence to improve and control manufacturing processes. Develop the skills to know when and where to use the various types of control charts available in Minitab for your own processes.

Learn how to utilize important capability analysis tools to evaluate your processes relative to internal and customer specifications. The course emphasis is placed on teaching quality tools as they relate to manufacturing processes.

Topics include:

  • Gage R&R
  • Destructive Testing
  • Gage Linearity and Bias
  • Attribute Agreement
  • Variables and Attribute Control Charts
  • Capability Analysis for Normal, Nonnormal, and Attribute Data

DoE using Minitab

Prerequisites: Minitab Essentials

Duration:

  • 6 to 8 hours for one on one, instructor led training
  • 8 to 10 hours for public batches of upto 3-4 participant
  • 10 to 12 hours for for corporate batches of upto 20 participants

Learn to generate a variety of full and fractional factorial designs using Minitab’s intuitive DOE interface.

Real-world applications demonstrate how the concepts of randomization, replication, and blocking form the basis for sound experimentation practices. Develop the skills necessary to correctly analyze resulting data to effectively and efficiently reach experimental objectives.

Use Minitab’s customizable and powerful graphical displays to interpret and communicate experimental results to improve products and processes, find critical factors that impact important response variables, reduce process variation, and expedite research and development projects.

Topics include:

  • Design of Factorial Experiments
  • Normal Effects Plot and Pareto of Effects
  • Power and Sample Size
  • Main Effect, Interaction, and Cube Plots
  • Center Points
  • Overlaid Contour Plots
  • Multiple Response Optimization