About this Course
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
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Beginner Level

Beginner Level

Clock

Approx. 14 hours to complete

Suggested: 5 weeks of study, 2-4 hours per week.
Comment Dots

English

Subtitles: English

Skills you will gain

Data AnalysisMinitabStatisticsLean Six Sigma
Globe

100% online courses

Start instantly and learn at your own schedule.
Beginner Level

Beginner Level

Clock

Approx. 14 hours to complete

Suggested: 5 weeks of study, 2-4 hours per week.
Comment Dots

English

Subtitles: English

Syllabus - What you will learn from this course

1

Section
Clock
2 hours to complete

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. I just really like it!...
Reading
11 videos (Total 54 min), 4 readings, 2 quizzes
Video11 videos
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
Reading4 readings
Let me introduce IBIS UvA5m
Overview videos2m
Minitab: what is it?10m
Explanation quizzes1m
Quiz2 practice exercises
Practice quiz - Data and Lean Six Sigma35m
Graded quiz - Data and Lean Six Sigma30m

2

Section
Clock
2 hours to complete

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. ...
Reading
8 videos (Total 48 min), 3 readings, 2 quizzes
Video8 videos
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
Reading3 readings
Data needed for the next videos!10m
Video exercises5m
Explanation quizzes1m
Quiz2 practice exercises
Practice quiz - Understanding and visualizing data35m
Graded quiz - Understanding and visualizing data30m

3

Section
Clock
2 hours to complete

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?"....
Reading
7 videos (Total 42 min), 1 reading, 2 quizzes
Video7 videos
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
Reading1 readings
Explanation quizzes1m
Quiz2 practice exercises
Practice quiz - Using probability distributions40m
Graded quiz - Using probability distributions30m

4

Section
Clock
1 hour to complete

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....
Reading
3 videos (Total 22 min), 1 reading, 1 quiz
Video3 videos
M4-V2 Hypothesis testing7m
M4-V3 Causality9m
Reading1 readings
Explanation quizzes1m
Quiz1 practice exercises
Practice quiz - Introduction to testing20m
Clock
2 hours to complete

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). ...
Reading
8 videos (Total 54 min), 1 reading, 2 quizzes
Video8 videos
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
Reading1 readings
Explanation quizzes1m
Quiz2 practice exercises
Practice quiz - Testing: numerical Y and categorical X12m
Graded quiz - Introduction to testing & Testing: numerical Y and categorical X30m

5

Section
Clock
1 hour to complete

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)....
Reading
7 videos (Total 38 min), 1 reading, 1 quiz
Video7 videos
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
Reading1 readings
Explanation quizzes1m
Quiz1 practice exercises
Practice quiz - Testing: numerical Y and numerical X30m
Clock
1 hour to complete

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. ...
Reading
4 videos (Total 26 min), 1 reading, 2 quizzes
Video4 videos
M7-V2 Logistic regression7m
M7-V3 Exercise - printers5m
M7-V4 Exercise - students7m
Reading1 readings
Explanation quizzes10m
Quiz2 practice exercises
Practice quiz - Testing: categorical Y10m
Graded quiz - Testing: numerical Y and numerical X & Testing: categorical Y30m
4.8
Direction Signs

43%

started a new career after completing these courses
Briefcase

83%

got a tangible career benefit from this course

Top Reviews

By RMApr 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 RKJul 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.

Instructor

About University of Amsterdam

A modern university with a rich history, the University of Amsterdam (UvA) traces its roots back to 1632, when the Golden Age school Athenaeum Illustre was established to train students in trade and philosophy. Today, with more than 30,000 students, 5,000 staff and 285 study programmes (Bachelor's and Master's), many of which are taught in English, and a budget of more than 600 million euros, it is one of the largest comprehensive universities in Europe. It is a member of the League of European Research Universities and also maintains intensive contact with other leading research universities around the world....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.

  • Yes! Coursera provides financial aid to learners who would like to complete a course but cannot afford the course fee. To apply for aid, select "Learn more and apply" in the Financial Aid section below the "Enroll" button. You'll be prompted to complete a simple application; no other paperwork is required.

  • 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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