DMAIC – an Introduction
24/01/2021
DMAIC – Introduction Problem Solving with DMAIC When it comes to business problem solving, there are many approaches available to us. Those professionals experienced in
Introduction to Minitab Data Analysis
Learn how to perform data analysis with Minitab!
Introduction to Minitab – What will you learn?
“Introduction to Minitab” will give you practitioner level capability in:
- The best ways to explore and analyse your data
- How to perform data analysis with ease using Minitab.
If you haven’t used Minitab in earnest before we highly recommend you start with this “Introduction to Minitab” course.
No prior knowledge is assumed, but you will leave the course with the knowledge and skills to apply the techniques immediately.
This is a course for people (non-statisticians) who want to make a significant impact on their organisation by discovering new insights from existing or new data, make sound recommendations, and take good business decisions based on first class data analysis.
Course Format
The training is delivered via live Zoom / Teams sessions with email support where required.
This is a 2-day module.
You will be part of a small select cohort of participants.
full set of colour printed notes will be provided for you.
A Training Completion Certificate is issued on completion of the module.
Join this course in the knowledge that if you wish to take your data analysis skills to the next level, you can build on our introductory course with a range of other standalone modules.
Minitab
Minitab is recognised as a leading platform in the field of data analysis.
Use Minitab to visualise, analyse and harness the power of your data to solve your toughest business problems.
Despite its enormous power, Minitab has a friendly user interface that makes it easy for complete beginners to get started and then move on to more sophisticated techniques.
We have been using Minitab for over 20 years in countless data analysis scenarios with more than 100 organisations. It remains our favourite route to understanding data, converting this to valuable information, and making the right business decisions as a result.
We have a range of training on offer via our website. There are options from complete beginner to analysis of complex experimental designs.
Introduction to Data Analysis with Minitab
- Getting started with Minitab
- Graphical techniques – how to collect, display, present, analyse and interpret data
- Plotting data – select the very best ways from a multitude of options
- Summarising data
- Understanding process behaviour
- Making comparisons between processes
- Finding relationships between process variables
- How to find the most important variables when many exist
- How to trend performance
- The Normal Distribution and why it is so important
- Confidence Intervals
- Process Capability analysis – performance vs customer expectations
Who should participate?
People who are interested in their own personal development and who would like to learn how make data work for them.
Anyone looking for career development via this certificated programme.
People who want to upskill their problem-solving capabilities and demonstrate what they can achieve within their organisation.
Anyone looking for their first formal training in data-based decision making.
Academic qualifications are not required, but reasonable numeracy and familiarity with using Excel will be useful.
Pricing 2-day Module
UK £500.00 (plus VAT)
USD $650.00
Euro €650.00
The Minitab Training Modules/Training Syllabus
- Getting started with Minitab
- Graphical techniques – how to collect, analyse, interpret, display and present data
- Summarising data
- Understanding process behaviour
- Making comparisons between processes
- Finding relationships between process variables
- How to find the most important variables when many exist
- How to trend performance
- The Normal Distribution and why it is so important in processes
- Confidence Intervals – knowing how representative your data is
- Process Sigma Measure
- Process Capability analysis – performance vs customer expectations
- Process behaviour – capability versus control
- Natural and abnormal process performance
- Events and designs
- When to intervene in a process and when to leave it alone!
- Controlling inputs and outputs
- I, mR, X-bar, R, S, p, np, c, u, and Cusum – the control toolkit
- Showing the process history
- Performance against expectation
- Capability in more detail – Cp, Cpk, Pp,Ppk,and PPM
- Measurement systems analysis
- Making good decisions
- Comparing process performance against expectations and standards.
- Identifying subtle but important differences in process performance.
- Defining a hypothesis about your data and then challenging that hypothesis to see if it holds good!
- Sampling distributions
- Confidence levels, Alpha and Beta risks
- Stating your conclusions
- The test menu, 1-sample Z, 1-sample t, 2-sample t, F-test, Chi-Square Tests, Contingency Tables, Proportions Tests – covers what these tests mean and how they can be used in a host of business decision scenarios.
- The cost of variation.
- The multiple sources of variation.
- How to analyse variation sources and identify potential fixes.
- Handling factors which interact to produce process variation.
- Determining factors that are significant / not significant
- The toolkit of ANOVA in depth – one-way, two way, balanced, fixed, random, nested, crossed.
- Analysis diagnostics
- Efficient comparison techniques
- Interpretation of results
- Last but by no means least – we look at variation in measurement systems
- The history of experimentation and how it applies to us today
- How to find process solutions when a host of variables are at play
- The drawbacks of looking at one factor at a time
- How to design a trial / experiment
- Randomisation
- Replication
- Measurement
- Main Effects and Interaction Effects
- Full and partial factorial designs
- Zooming in on the main factors that define your process performance
- Response Surface Analysis
If you would like to know more about Data Analysis with Minitab please fill in the form below and we'll be back in touch.
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