Design and Analysis of Experiments | DoE
Design of Experiments: from ANOVA to Factorial Designs using Excel and R.
4.58 (992 reviews)
5 405
students
4 hours
content
Oct 2023
last update
$69.99
regular price
What you will learn
Fundamentals of the Design of Experiments (DoE).
Basic concepts of hypothesis testing, analysis of variance and mean comparison.
Factorial designs, single-replicate designs, blocking and confounding, fractional designs.
How to present the final results (bar charts, contour plots, tables) and how to interpret them.
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Our Verdict
The Design and Analysis of Experiments (DoE) course led by Rosane iganterrazo is a valuable resource for those interested in gaining hands-on experience with factorial designs, single-replicate designs, and fractional designs. Although the rapid pace during some sections may be challenging and the exclusive focus on R might not cater to users who prefer alternative statistical software packages, the informative and engaging material is highly recommended for learners seeking to enhance their understanding of DoE and applied statistics.
What We Liked
- The course provides a solid foundation in the principles of Design of Experiments, covering fundamental concepts such as hypothesis testing, analysis of variance, and mean comparison.
- The last part of the course that focuses on R was particularly enjoyable and informative. It was easy to follow along and implement the techniques presented using this statistical software.
- The course is well-structured and concise, with each video brief enough to ensure digestible content and clear explanations.
- Rosane's Brazilian accent adds a unique touch to the course, making it engaging and easier for Portuguese speakers to follow.
Potential Drawbacks
- Some sections, particularly in the beginning, move at a fast pace without much elaboration, possibly leaving some learners behind.
- The heavy use of slide presentations can feel monotonous and may require additional external resources or explanations.
- There is limited coverage of categorical variables, and users with no background in statistics might find the course difficult to follow.
- Lack of practical examples using other statistical software packages like Excel's Design Expert, Minitab, or Design-Expert
3270706
udemy ID
25/06/2020
course created date
19/11/2020
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