Course Summary
This course teaches students how to use data analytics to improve processes and quality in Lean Six Sigma projects. Students will learn statistical analysis, hypothesis testing, and predictive modeling techniques to identify opportunities for improvement and make data-driven decisions.Key Learning Points
- Learn how to apply data analytics to Lean Six Sigma projects
- Gain proficiency in statistical analysis, hypothesis testing, and predictive modeling
- Identify opportunities for improvement and make data-driven decisions
Related Topics for further study
Learning Outcomes
- Apply data analytics to Lean Six Sigma projects
- Analyze data using statistical methods
- Make data-driven decisions to improve processes and quality
Prerequisites or good to have knowledge before taking this course
- Basic understanding of Lean Six Sigma
- Familiarity with statistical concepts
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
Similar Courses
- Data Analysis for Lean Six Sigma
- Lean Six Sigma Green Belt
Related Education Paths
Related Books
Description
Welcome to this course on Data Analytics for Lean Six Sigma.
Outline
- 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
- Testing: numerical Y and categorical X
- 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
- Testing: categorical Y
- 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
Summary of User Reviews
The Data Analytics for Lean Six Sigma course on Coursera has received positive reviews from users. The course covers useful topics and provides hands-on experience through case studies, resulting in a practical learning experience.Key Aspect Users Liked About This Course
Users found the case studies to be very helpful in providing practical experience.Pros from User Reviews
- Practical case studies provide hands-on experience
- Useful topics covered in the course
- Instructors are knowledgeable and helpful
- Well-organized course structure
- Flexible schedule allows for self-paced learning
Cons from User Reviews
- Some users found the course to be too basic
- The course can be lengthy and time-consuming
- Not all case studies are relevant to all industries
- Some technical issues with the platform
- The course may not be suitable for those without prior knowledge of Lean Six Sigma principles
Inez ZwetslootTop Instructor
4.8 Raiting
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