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Data Analytics for Lean Six Sigma

The data analytics with Lean Six Sigma is a course from which you will learn and understand data analytical techniques that will be useful within the Lean Six Sigma improvement projects. After this course, you will be able to analyze and interpret data gathered within such a project and make the most out of it. You will also be able to use Minitab to analyze the data.

Emphasis will be given to use of the data analytical tools and the interpretation of the outcome. Many different examples from the actual Lean Six Sigma projects which will illustrate all the required tools. You will be able to learn techniques that you will use in a broader setting apart from the improvement projects.

 

Agenda/Schedule of Training

Data and Lean Six Sigma

This module introduces Lean Six Sigma and shows you where data and data analytics have their place within the DMAIC framework. It also introduces the software package Minitab. This package is used throughout the videos for data analytics. It is not mandatory to use this package

Understanding and visualizing data

This module explains how to visualize data. It discusses visualizing single variables as well as visualizing two variables. You will learn to select the appropriate graph. For this it is essential to first learn the distinction between numerical and categorical data.

Using probability distributions

In this module on using probability distributions, you will learn how to quantify uncertainty. Furthermore, you will learn to answer an important business question: “what percentage of products or cases meet our specifications?".

Introduction to testing

You will learn to model your CTQ and influence factor(s) and to use a decision tree to select the appropriate tool for data-based testing of this model. Furthermore, causality is introduced.

Testing: numerical Y and categorical X

In this module on statistical testing, you will learn how to establish relationship between a numerical Y variable (the CTQ) and categorical influence factors (the X variables).

Testing: numerical Y and numerical Y

What is the relation between the length of stay and the age of a patient? In this module you will learn to answers these types of questions using statistical tests to relate a numerical CTQ (the Y variable) to a numerical influence factor (the X variable).

Testing: categorical Y

Finally, you will learn how to test a relationship between a Y and a X variable whenever your Y variable (the CTQ) is a categorical variable.

 

Who Should Learn this?

This course can be taken up by Software Developers and BI and Analytics, ETL, SQL, Data Warehouse, Mainframe, and Testing Professionals.

The training will also help you to master statistics and minitab statistical software easily. Step by step videos show you precisely what to do, and data sets are provided to give you the chance to practice by your own and better yourself in the Minitab.

 

FAQs

 

 What are the benefits of Data Analytics for Lean Six Sigma? 

The Data Analytics for Lean Six Sigma certification will enhance your career opportunities. It enables you to be recognized as a professional who has enough experience in the field of project management and data analysis. You will learn many new skills that will enhance your knowledge in the field. The certification also enables you to earn more.

How can I prepare for the Exam?

Make sure to use a good Data Analytics for Lean Six Sigma preparation book to build your confidence and knowledge towards the exam. You can also try Data Analytics for Lean Six Sigma exam prep workshops and online practice exams.

When can I take the exam?

You can take the exam whenever you are ready, all you need to do is schedule a date from the nearest PMP test center.

Can I retake the exam if I fail?

Yes, if you fail in your first attempt, you can retake the exam for up to two more times within the one year eligibility period.

How much salary will I get after doing this course?

Based on research and analysis, it is seen that Data Analytics for Lean Six Sigma professionals seem to earn 30% more than non-certified professionals in the field of project management.

Is Data Analytics for Lean Six Sigma really worth it?

Yes, it helps to improve your career and your job prospects. It boosts your chances to land a job and also make you much more valued.

Will Data Analytics for Lean Six Sigma help me get my dream job?

Yes, this depends if your dream job is one in the field of project management and data analysis as the Data Analytics for Lean Six Sigma is a certification that enhances your chances in the project management scene.

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