University of Amsterdam

À propos de ce cours

Welcome to this course on Data Analytics for Lean Six Sigma.
In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.
I will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background.
The setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects.
I hope that you enjoy this course and good luck!
Dr. Inez Zwetsloot & the IBIS UvA team

Data AnalysisMinitabStatisticsLean Six Sigma

Section

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. I just really like it!...

11 videos (Total 54 min), 4 readings, 2 quizzes

Let me introduce myself!1m

M1-V1 Introduction to Lean Six Sigma5m

M1-V2 Data and DMAIC4m

M1-V3 Selecting CTQs6m

M1-V4 Units and operational definition5m

M1-V5 Sampling8m

M1-V6 Organizing your data5m

M1-V7 Installing Minitab3m

M1-V8 Introduction to Minitab6m

M1-V9 Loading data into Minitab2m

Let me introduce IBIS UvA5m

Overview videos2m

Minitab: what is it?10m

Explanation quizzes1m

Practice quiz - Data and Lean Six Sigma35m

Graded quiz - Data and Lean Six Sigma30m

Section

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. ...

8 videos (Total 48 min), 3 readings, 2 quizzes

M2-V2 Descriptive statistics7m

M2-V3 Visualizing numerical data6m

M2-V4 Visualizing categorical data5m

M2-V5 Pareto analysis5m

M2-V6 Visualizing two variables9m

M2-V7 Exercise - Investigation time4m

M2-V8 Exercise - Coffee batch3m

Data needed for the next videos!10m

Video exercises5m

Explanation quizzes1m

Practice quiz - Understanding and visualizing data35m

Graded quiz - Understanding and visualizing data30m

Section

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?"....

7 videos (Total 42 min), 1 reading, 2 quizzes

M3-V2 Estimation and confidence intervals9m

M3-V3 Normal, Lognormal and Weibull distribution4m

M3-V4 Probability plot6m

M3-V5 Empirical CDF6m

M3-V6 Properties of the normal distribution4m

M3-V7 Exercise - Length of Stay5m

Explanation quizzes1m

Practice quiz - Using probability distributions40m

Graded quiz - Using probability distributions30m

Section

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....

3 videos (Total 22 min), 1 reading, 1 quiz

Explanation quizzes1m

Practice quiz - Introduction to testing20m

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). ...

8 videos (Total 54 min), 1 reading, 2 quizzes

M5-V2 ANOVA analysis7m

M5-V3 ANOVA residual analysis6m

M5-V4 Kruskal-Wallis test5m

M5-V5 Two sample t-test8m

M5-V6 Test for equality of variances6m

M5-V7 Exercise - Productivity7m

M5-V8 Exercise - Department5m

Explanation quizzes1m

Practice quiz - Testing: numerical Y and categorical X12m

Graded quiz - Introduction to testing & Testing: numerical Y and categorical X30m

Section

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)....

7 videos (Total 38 min), 1 reading, 1 quiz

M6-V2 Introduction to regression4m

M6-V3 Regression analysis6m

M6-V4 Regression residual analysis4m

M6-V5 Regression prediction interval5m

M6-V6 Quadratic regression5m

M6-V7 Exercise - picking6m

Explanation quizzes1m

Practice quiz - Testing: numerical Y and numerical X30m

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. ...

4 videos (Total 26 min), 1 reading, 2 quizzes

M7-V2 Logistic regression7m

M7-V3 Exercise - printers5m

M7-V4 Exercise - students7m

Explanation quizzes10m

Practice quiz - Testing: categorical Y10m

Graded quiz - Testing: numerical Y and numerical X & Testing: categorical Y30m

4.8

started a new career after completing these courses

got a tangible career benefit from this course

By RM•Apr 30th 2017

An amazing course .Very crisp and clear. Thank you Dr.Inez for making learning so much easier and fun.Examples gave a better understanding.I'm sure I'll be able to apply it in my research. Thank you.

By RK•Jul 2nd 2017

Amazing course to refresh the statistical knowledge especially if you wish you take up Lean Six Sigma career path. It gave me enough time and chance to prepare and learn. It is a must for everyone.

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Do I need Minitab?

No, it is not a requirement to pass the course. However I do recommend everybody to install (the free trial version of) Minitab. It makes this course a lot more fun if you can actually do all the data analyses yourself as well.

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