UVA Amsterdam - Data Analytics for Lean Six Sigma
5.0 /5- Offered byCoursera
Data Analytics for Lean Six Sigma at Coursera Overview
Duration | 11 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Analytics for Lean Six Sigma at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 11 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish, Romanian
Data Analytics for Lean Six Sigma at Coursera Course details
- 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 Analytics for Lean Six Sigma at Coursera Curriculum
Data and Lean Six Sigma
Introduction to Data Analytics for Lean Six Sigma
Let me introduce myself!
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
M1-V7 Installing Minitab
M1-V8 Introduction to Minitab
M1-V9 Loading data into Minitab
Let me introduce IBIS UvA
Overview videos
Minitab: what is it?
Explanation quizzes
Practice quiz - Data and Lean Six Sigma
Graded quiz - Data and Lean Six Sigma
Understanding and visualizing data
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
M2-V7 Exercise - Investigation time
M2-V8 Exercise - Coffee batch
Data needed for the next videos!
Video exercises
Explanation quizzes
Practice quiz - Understanding and visualizing data
Graded quiz - Understanding and visualizing data
Using probability distributions
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
M3-V7 Exercise - Length of Stay
Explanation quizzes
Practice quiz - Using probability distributions
Graded quiz - Using probability distributions
Introduction to testing
M4-V1 Introduction to data analysis
M4-V2 Hypothesis testing
M4-V3 Causality
Explanation quizzes
Practice quiz - Introduction to testing
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
M5-V7 Exercise - Productivity
M5-V8 Exercise - Department
Explanation quizzes
Practice quiz - Testing: numerical Y and categorical X
Graded quiz - Introduction to testing & Testing: numerical Y and categorical X
Testing: numerical Y and numerical Y
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
M6-V7 Exercise - picking
Explanation quizzes
Practice quiz - Testing: numerical Y and numerical X
M7-V1 Chi-square analysis
M7-V2 Logistic regression
M7-V3 Exercise - printers
M7-V4 Exercise - students
Explanation quizzes
Practice quiz - Testing: categorical Y
Graded quiz - Testing: numerical Y and numerical X & Testing: categorical Y
Data Analytics for Lean Six Sigma at Coursera Admission Process
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