HY
Jul 14, 2020
Love it!! I haven't been this much confident with statistical analysis and hypothesis testing. I like this learning material as its practical (the cases and scenarios) part was very helpful. Thank you
RM
Apr 29, 2017
An amazing course .Very crisp and clear. Thank you Dr.Inez for making learning so much easier and fun.Examples gave a better understanding.I'm sure I'll be able to apply it in my research. Thank you.
By RODRIGO A F D
•Jul 10, 2020
I loved this course, I was able to put into practice knowledge that I had, but did not see in a simple way how to apply it.
By Praveenkumar V
•May 22, 2020
Complete course is amazing. Really helpful. Now, i have some idea about Mini tab and how to analyse different type of data.
By Octavien J O O
•Jan 22, 2020
This is a good course for anyone starting in process improvement techniques using statistical tools. I really recommend it.
By Zhaoyang L
•Dec 18, 2021
Great course, good prof., it is very nice practice with using the tools. however, I donot think it is related with lean.
By Kaustubh V
•Jul 21, 2020
The instructor takes a step-wise approach and takes us with her on the learning journey! Simply Brilliant! Thank you Inez!
By Deepak P
•Apr 1, 2019
The course starts from fundamentals of statistics and discusses various methods of data analysis for different scenarios.
By Sahil P
•Jan 31, 2022
Exceptional course. had a great time learning it. Thank you Inez zwetsloot mam for such a wonderful learning experience.
By Daniel M
•Jul 12, 2020
Outstanding course. I enjoyed every single class and the teacher explains the subjects very very well. 100% recommended.
By Ignatious C
•Jun 7, 2020
I find this caurse is very useful and I recommend to everyone who wish to pursue knowledge in the area of data analysis.
By Thales C d L
•Sep 20, 2019
Objective language, easy to understand. Course with many practical examples. Worth taking this cours.
Thank you teachers!
By Kostas C
•Jan 30, 2021
With the exception of a better explanation and example for event-trial format transformation, this is an amazing course
By FERNANDO P
•Sep 6, 2020
Excellent course, amazing content and really useful for the applications of the lean six sigma methodology in a company
By Juan R P M
•Mar 31, 2020
This course has reinforced my analytical skills with great tools in order to pursue the excellence on my lean projects.
By INDRAWAN B A
•Dec 7, 2022
All of you should attend this course while want to sharpen your knowledge for Data analytics with statistical approach
By Huong N
•May 20, 2020
A great introduction to data analysis that does not include math. The lectures are clear and exercises are not tricky.
By Lorena E P L
•Oct 4, 2020
Me gusto mucho, permite medir analiticamente los procesos de una actividad y darnos cuenta cual es el punto a mejorar
By Venkataramanan T
•Sep 26, 2019
It is really a wonderfull course. I have learned many things and it enhanced my technical knowledge in Data Analytics
By Dhruv S
•Jul 20, 2017
The course runs at just the right pace.
Great course structure, the quizzes proficiently test the new skills learned.
By Daniel G
•Jun 20, 2017
Very good material, the professor is also talented to make us motivated and willing to keep going. Super recommended.
By Kurian M
•Feb 12, 2018
Excellent course. The structure of the course is excellent. The resource person, Ms. Inez, has done a wonderful job.
By Deleted A
•Jul 16, 2017
Straight to the point, explaining what you need to understand and know when it come to the basic tools needed in LSS
By Ale R
•May 16, 2017
I really like this course, the material used was really helpful and all the explanations very clear. Well done team!
By Yohan S
•Aug 4, 2020
It was a wonderful experience of learning, a big thank you to Coursera for approving my financial aid application.
By _anemone
•Nov 26, 2020
Easy instruction and clear explanation. Highly recommended! Informative and Professional Professor Ms. Zwetsloot!
By gularz
•Jun 28, 2020
As a LSS green Belt with no experience in Minitab this course helped me to start using that software in projects.