Good

good

E

V

C

T

Excellent course for beginners, especially those without a background in mathematics, statistics, to develop an interest in / get a good grasp over statistical techniques. Graduate level applied statistics has been explained at a conceptual level with examples one can easily understand and relate to. If this can be upgraded to a specialization to include lean six sigma concepts, statistical formulas and their derivations in separate (optional) modules for the benefit of those aspiring for a career in mathematics, statistics or lean six sigma certifications, this course could beat similar courses offered by other MOOCs / universities.

My reason of taking this course was to brush up minitab skills, which I haven't used much in last 1.5 years but I consider is very important tfor data driven decision making. I also wanted to perform same statistical analysis using R because I wanted to enhance my r programming skills also. But I realized that'll be too much time consuming exercise, so, didn't do that. Overall good experience, good examples used to demonstrate concept as well as minitab's application. Thanks to the professor and her team involved.

I think it is a good course introductory course for introducing Data Analytics. The explanations are very clear, as well as the examples selected. It gives a general overview of the main methodologies to perform depending on the kind of data we have. Minitab instructions are a big plus, as a software simple but powerful to perform this analysis and understand the results. Thank you and congratulations for the course.

The course is structured and easy to understand with a lot of practice exercises. However, I use Minitab on a MacBook and there are differences in the layout and location of functions. I struggled to find certain functions; even googling did not help. I would suggest you incorporate instructions for Mac users to use software tools. Overall, the course is very informative and definitely adds value.

This course certainly gives a good idea of Data Analytics for a Six Sigma Project. However, for a beginner like me, I think one has to do extensive reading of different analytical technique such as 2 T test, ANOVA etc, as I found this course doesn't cover the theoretical aspects. Still, it is a nice course to start with and I am looking forward to further courses from the team.

The explanation on Chi-square and Logistic Regression is not as detailed as the other topics. This results in a lack of confidence to perform these tests for analysis.

The explanation on the other topics is very detailed and good. The exercises provided add to the learning curve. The accent is very clear and the language used is also very simple. Enjoyed learning.

The course is useful to learn how to distinguish your data, recognize their characteristics, and choose the the analysis that will give you the most information.

Minitab is for sure a very useful platform for statistical analysis, way faster and more compact analysis from excel, with easier visualization tools.

I would recommend the course for beginners.

The course is really great for those who would like to have basic understanding of the lean six sigma and the different phases of the same. The course content will also help to take data driven decision for process improvement. Further, one will understand the capabilities of Minitab and what different methods could be used during data driven decision.

Great job !!! Dr/ Inez . i want to mention only about 2 lecturers where you choose some options in mini-tab, when practicing found that you have chosen another options to display data.

Eventually, you made me happy about this course. you have a great charisma that make the information reach easily to brain. .

please prepare another course. Thank you

Great course with good pedagogical content. The way statistical principles are explained is accessible. As an engineer, I would have appreciated to have some formulas to support the statistical definitions and explanations. I guess not giving the formulas was an editorial choice but I think the info would be valuable. At least as an appendix maybe.

I could learn a lot from this course. Material presented by Inez Zwetsloot was very clear and logical. The only suggestion for improving, is to have a capstone project to implement all of the concepts taught. This gives the students a chance to practice on real life problems.

A great course to get hands-on experience on minitab software.The problems discussed are really helpful in testing the skills learnt in the lectures.The instructor follows a logical order throughout the course!A must do course for people interested in lean six sigma.

Significant topics in statistics and Data analytics have been covered in this course and it is a good reckon er. However, the correlation of the course with Lean Six Sigma is not very tight. The delivery of the instructor does get monotonous at times.

I found this course very useful to get understanding of Data driven principles. Although there were a couple of concepts which we use in theory. The practical implication of concepts from this course at work has been useful

This course is a very essential if you want to cover all the basics about data analysis in lean six sigma. Another important thing is it will provide you the knowledge about the core functions of the minitab.

I used R as software Tool.

In the past I used to use Minitab (great tool for engineers in production plants), however the potential of R, let reanalyze immediately and audit the process and the conclutions

Very informative and examples are easily understood. The only problem was that I have Mac and didn't have an opportunity to use Minitab, which was 1/4 of the whole course. All in all - I recommend it !

Excellent course content and examples. I wish there are more modules to discuss Pareto analysis and some other function. Highly recommended for lean six sigma practitioners!

Very nice, informative, introductory course. Could include more mathematics though, in order to get some idea about the underlying principles of the methods presented.