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University of Amsterdam
Data Analytics for Lean Six Sigma
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University of Amsterdam

Data Analytics for Lean Six Sigma

Inez Zwetsloot

Instructor: Inez Zwetsloot

91,874 already enrolled

Included with Coursera Plus

•Learn more
7 modules
Gain insight into a topic and learn the fundamentals.
4.8

(3,443 reviews)

Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
98%
Most learners liked this course

7 modules
Gain insight into a topic and learn the fundamentals.
4.8

(3,443 reviews)

Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
98%
Most learners liked this course
  • About
  • Modules
  • Recommendations
  • Testimonials
  • Reviews

Skills you'll gain

  • Descriptive Statistics
  • Data Visualization Software
  • Process Improvement
  • Data Analysis
  • Regression Analysis
  • Lean Six Sigma
  • Correlation Analysis
  • Minitab
  • Analytics
  • Probability Distribution
  • Statistics
  • Statistical Hypothesis Testing
  • Box Plots
  • Variance Analysis
  • Statistical Analysis

Details to know

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Assessments

12 assignments

Taught in English

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There are 7 modules in 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

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!

What's included

11 videos4 readings2 assignments

11 videos•Total 53 minutes
  • Introduction to Data Analytics for Lean Six Sigma•4 minutes•Preview module
  • Let me introduce myself!•1 minute
  • M1-V1 Introduction to Lean Six Sigma•5 minutes
  • M1-V2 Data and DMAIC•4 minutes
  • M1-V3 Selecting CTQs•6 minutes
  • M1-V4 Units and operational definition•5 minutes
  • M1-V5 Sampling•8 minutes
  • M1-V6 Organizing your data•5 minutes
  • M1-V7 Installing Minitab•3 minutes
  • M1-V8 Introduction to Minitab•6 minutes
  • M1-V9 Loading data into Minitab•2 minutes
4 readings•Total 18 minutes
  • Let me introduce IBIS UvA•5 minutes
  • Overview videos•2 minutes
  • Minitab: what is it?•10 minutes
  • Explanation quizzes•1 minute
2 assignments•Total 65 minutes
  • Practice quiz - Data and Lean Six Sigma•35 minutes
  • Graded quiz - Data and Lean Six Sigma•30 minutes

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.

What's included

8 videos3 readings2 assignments

8 videos•Total 48 minutes
  • M2-V1 Numerical and categorical data•5 minutes•Preview module
  • M2-V2 Descriptive statistics•7 minutes
  • M2-V3 Visualizing numerical data•6 minutes
  • M2-V4 Visualizing categorical data•5 minutes
  • M2-V5 Pareto analysis•5 minutes
  • M2-V6 Visualizing two variables•9 minutes
  • M2-V7 Exercise - Investigation time•4 minutes
  • M2-V8 Exercise - Coffee batch•3 minutes
3 readings•Total 16 minutes
  • Data needed for the next videos!•10 minutes
  • Video exercises•5 minutes
  • Explanation quizzes•1 minute
2 assignments•Total 65 minutes
  • Practice quiz - Understanding and visualizing data•35 minutes
  • Graded quiz - Understanding and visualizing data•30 minutes

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?".

What's included

7 videos1 reading2 assignments

7 videos•Total 42 minutes
  • M3-V1 Population versus sampling•5 minutes•Preview module
  • M3-V2 Estimation and confidence intervals•9 minutes
  • M3-V3 Normal, Lognormal and Weibull distribution•4 minutes
  • M3-V4 Probability plot•6 minutes
  • M3-V5 Empirical CDF•6 minutes
  • M3-V6 Properties of the normal distribution•4 minutes
  • M3-V7 Exercise - Length of Stay•5 minutes
1 reading•Total 1 minute
  • Explanation quizzes•1 minute
2 assignments•Total 70 minutes
  • Practice quiz - Using probability distributions•40 minutes
  • Graded quiz - Using probability distributions•30 minutes

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.

What's included

3 videos1 reading1 assignment

3 videos•Total 22 minutes
  • M4-V1 Introduction to data analysis•5 minutes•Preview module
  • M4-V2 Hypothesis testing•7 minutes
  • M4-V3 Causality•9 minutes
1 reading•Total 1 minute
  • Explanation quizzes•1 minute
1 assignment•Total 20 minutes
  • Practice quiz - Introduction to testing•20 minutes

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).

What's included

8 videos1 reading2 assignments

8 videos•Total 54 minutes
  • M5-V1 Introduction to ANOVA•6 minutes•Preview module
  • M5-V2 ANOVA analysis•7 minutes
  • M5-V3 ANOVA residual analysis•6 minutes
  • M5-V4 Kruskal-Wallis test•5 minutes
  • M5-V5 Two sample t-test•8 minutes
  • M5-V6 Test for equality of variances•6 minutes
  • M5-V7 Exercise - Productivity•7 minutes
  • M5-V8 Exercise - Department•5 minutes
1 reading•Total 1 minute
  • Explanation quizzes•1 minute
2 assignments•Total 60 minutes
  • Practice quiz - Testing: numerical Y and categorical X•30 minutes
  • Graded quiz - Introduction to testing & Testing: numerical Y and categorical X•30 minutes

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).

What's included

7 videos1 reading1 assignment

7 videos•Total 38 minutes
  • M6-V1 Correlation•4 minutes•Preview module
  • M6-V2 Introduction to regression•4 minutes
  • M6-V3 Regression analysis•6 minutes
  • M6-V4 Regression residual analysis•4 minutes
  • M6-V5 Regression prediction interval•5 minutes
  • M6-V6 Quadratic regression•5 minutes
  • M6-V7 Exercise - picking•6 minutes
1 reading•Total 1 minute
  • Explanation quizzes•1 minute
1 assignment•Total 30 minutes
  • Practice quiz - Testing: numerical Y and numerical X•30 minutes

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.

What's included

4 videos1 reading2 assignments

4 videos•Total 25 minutes
  • M7-V1 Chi-square analysis•5 minutes•Preview module
  • M7-V2 Logistic regression•7 minutes
  • M7-V3 Exercise - printers•5 minutes
  • M7-V4 Exercise - students•7 minutes
1 reading•Total 10 minutes
  • Explanation quizzes•10 minutes
2 assignments•Total 40 minutes
  • Practice quiz - Testing: categorical Y•10 minutes
  • Graded quiz - Testing: numerical Y and numerical X & Testing: categorical Y•30 minutes

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Instructor

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4.9 (1,093 ratings)
Inez Zwetsloot
Inez Zwetsloot
University of Amsterdam
1 Course•91,874 learners

Offered by

University of Amsterdam

Offered by

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 44,000 students, 6,000 staff and 285 study programmes (Bachelor's and Master's), many of which are taught in English, and a budget of more than 900 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.

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Learner reviews

4.8

3,443 reviews

  • 5 stars

    84.78%

  • 4 stars

    13.97%

  • 3 stars

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  • 2 stars

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  • 1 star

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Showing 3 of 3443

L
LH
5

Reviewed on Jun 27, 2022

I couldn't stop, I enjoyed this class so much I completed it early!!!! I love how it was interactive and the exercises were very helpful. Thank you. Instructor was very knowledgeable, too.

J
JL
5

Reviewed on Apr 27, 2020

I really love this course as I've learned a lot from it. All the techniques and learning I've acquired here would definitely help me a lot in my current role and projects. Thank you Dr. Inez!

R
RR
5

Reviewed on Jun 20, 2020

This course is simply amazing because I learned the basics of data analytics using a simple and intuitive software called Minitab and the course instructor explained the basics really well.

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Frequently asked questions

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.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

  • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

  • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policyOpens in a new tab.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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