Design of Experiments Part-2 (DOE-02): Mixture DOE with R
In this course, you will learn understand the differences between factorial designs and mixture designs.
Overview
Mon 2 - Thu 5 Mar 26, at 1900-2100 IST
Via Google Meet
In this course, you will learn understand the differences between factorial designs and mixture designs. Delve deeper into transfer functions, two-component and three-component mixtures. You will learn about mixture types and how to read and interpret plots in triangular coordinates. We will perform data analysis using R.
What You Will Learn!
– Mixtures vs Factorial Designs – Synergism and Antagonism – Transfer Functions – Two Component and Three Component Mixtures – Triangular Diagrams – Mixture TypesCurriculum
Curriculum
- 1 Section
- 1 Lesson
- 8 Hours
Expand all sectionsCollapse all sections
Instructor
Reviews
You May Like
Statistical Fundamentals of Data Science SFDS-02: Data Visualization
This will cover the Art and Science of Data Visualization Language: Mainly MS Excel, a little bit of R as well
0
51
students
₹1,500.00
ML-03: LGR, SVM, NBC and KNN
This will cover the four major Supervised Learning Techniques
0
61
students
₹4,000.00
Artificial Intelligence for Anyone Interested (AI4AI)
This gives an overview of Artificial Intelligence and Machine Learning for beginners
0
50
students
₹3,000.00
Statistical Fundamentals of Data Science Part-1 (SFDS-01)
Learn to analyze and visualize data in R and gain proficiency in descriptive statistics, probability, hypothesis testing, and regression.
6
62
students
₹5,000.00
₹3,000.00
Course Features
- Lectures 1
- Quizzes 0
- Duration 8 hours
- Skill level All levels
- Language English
- Students 11
- Assessments Yes