Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- Duration 11 hours
- Course by University of Amsterdam
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Offered by
About
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 teamModules
Introduction
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2
Videos
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1
Readings
2
Videos
- Introduction to Data Analytics for Lean Six Sigma
- Let me introduce myself!
1
Readings
- Let me introduce IBIS UvA
Video lectures - Data and Lean Six Sigma
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6
Videos
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1
Readings
6
Videos
- M1-V1 Introduction to Lean Six Sigma
- M1-V2 Data and DMAIC
- M1-V3 Selecting CTQs
- M1-V4 Units and operational definition
- M1-V5 Sampling
- M1-V6 Organizing your data
1
Readings
- Overview videos
Software Minitab: Introduction and installation
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3
Videos
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1
Readings
3
Videos
- M1-V7 Installing Minitab
- M1-V8 Introduction to Minitab
- M1-V9 Loading data into Minitab
1
Readings
- Minitab: what is it?
Quizzes: Data and Lean Six Sigma
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1
Readings
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2
Assignment
2
Assignment
- Practice quiz - Data and Lean Six Sigma
- Graded quiz - Data and Lean Six Sigma
1
Readings
- Explanation quizzes
Video lectures - Understanding and Visualizing data
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6
Videos
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1
Readings
6
Videos
- M2-V1 Numerical and categorical data
- M2-V2 Descriptive statistics
- M2-V3 Visualizing numerical data
- M2-V4 Visualizing categorical data
- M2-V5 Pareto analysis
- M2-V6 Visualizing two variables
1
Readings
- Data needed for the next videos!
Video exercises - Understanding and visualizing data
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2
Videos
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1
Readings
2
Videos
- M2-V7 Exercise - Investigation time
- M2-V8 Exercise - Coffee batch
1
Readings
- Video exercises
Quizzes - Understanding and visualizing data
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1
Readings
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2
Assignment
2
Assignment
- Practice quiz - Understanding and visualizing data
- Graded quiz - Understanding and visualizing data
1
Readings
- Explanation quizzes
Video lectures - Using probability distribution
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6
Videos
6
Videos
- M3-V1 Population versus sampling
- M3-V2 Estimation and confidence intervals
- M3-V3 Normal, Lognormal and Weibull distribution
- M3-V4 Probability plot
- M3-V5 Empirical CDF
- M3-V6 Properties of the normal distribution
Video exercises - Using probability distribution
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1
Videos
1
Videos
- M3-V7 Exercise - Length of Stay
Quizzes - Using probability distributions
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1
Readings
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2
Assignment
2
Assignment
- Practice quiz - Using probability distributions
- Graded quiz - Using probability distributions
1
Readings
- Explanation quizzes
Video lectures - Introduction to testing
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3
Videos
3
Videos
- M4-V1 Introduction to data analysis
- M4-V2 Hypothesis testing
- M4-V3 Causality
Quiz
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1
Readings
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1
Assignment
1
Assignment
- Practice quiz - Introduction to testing
1
Readings
- Explanation quizzes
Video lectures - Testing: numerical Y and categorical X
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6
Videos
6
Videos
- M5-V1 Introduction to ANOVA
- M5-V2 ANOVA analysis
- M5-V3 ANOVA residual analysis
- M5-V4 Kruskal-Wallis test
- M5-V5 Two sample t-test
- M5-V6 Test for equality of variances
Video exercises
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2
Videos
2
Videos
- M5-V7 Exercise - Productivity
- M5-V8 Exercise - Department
Quizzes
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1
Readings
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2
Assignment
2
Assignment
- Practice quiz - Testing: numerical Y and categorical X
- Graded quiz - Introduction to testing & Testing: numerical Y and categorical X
1
Readings
- Explanation quizzes
Video lectures - Testing: numerical Y and numerical X
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6
Videos
6
Videos
- M6-V1 Correlation
- M6-V2 Introduction to regression
- M6-V3 Regression analysis
- M6-V4 Regression residual analysis
- M6-V5 Regression prediction interval
- M6-V6 Quadratic regression
Video exercise - Testing: numerical Y and numerical X
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1
Videos
1
Videos
- M6-V7 Exercise - picking
Quizzes
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1
Readings
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1
Assignment
1
Assignment
- Practice quiz - Testing: numerical Y and numerical X
1
Readings
- Explanation quizzes
Video lectures - Testing: categorical Y
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2
Videos
2
Videos
- M7-V1 Chi-square analysis
- M7-V2 Logistic regression
Video exercises - Testing: categorical Y
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2
Videos
2
Videos
- M7-V3 Exercise - printers
- M7-V4 Exercise - students
Quizzes
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1
Readings
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2
Assignment
2
Assignment
- Practice quiz - Testing: categorical Y
- Graded quiz - Testing: numerical Y and numerical X & Testing: categorical Y
1
Readings
- Explanation quizzes
Auto Summary
"Data Analytics for Lean Six Sigma" is a foundational course in Big Data and Analytics, designed to teach essential data analytics techniques for Lean Six Sigma projects. Led by Dr. Inez Zwetsloot and the IBIS UvA team, the course emphasizes the practical use of Minitab for data analysis and interpretation, using real-world examples. With a duration of 660 minutes, it offers flexible subscription options—Starter and Professional—making it ideal for professionals looking to enhance their data analytics skills within and beyond improvement projects. Join this engaging course on Coursera to advance your expertise.
Inez Zwetsloot