Lectures related to Graphical Analysis of Full Factorials

Full Factorial Design Introduction

Covers the basics of full factorial design, coding, graphical outputs, and data analysis.

Factorial Experimental Design

Covers factorial experimental design, 2-way ANOVA, interaction plots, and unbalanced designs.

DOE Qualitative factors III

Explores qualitative factors in Design of Experiments, including Latin squares, factorial designs, and ANOVA tables.

Fractional Factorial Example and Higher Order Equations

Covers the design of a catapult experiment and higher order equations.

Design of Experiments: Statistical Design and Analysis

Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.

Experimental Design: Strategies and Analysis

Discusses experimental design strategies, factors, responses, treatment combinations, and degrees of freedom.

ANOVA in Full Factorial Designs

Explores replicates, ANOVA, and factor elimination in full factorial designs using ANOM tables and model equations.

Fractional Factorial Design: Main Effects and Interactions

Explores fractional factorial design, emphasizing main effects and interactions in experimental design.

Introduction to Fractional Factorial Designs

Covers Fractional Factorial Designs, types, examples, balanced designs, and exploiting redundancies in interactions.

Model Formulas in R: Basics and Applications

Explores model formulas in R, covering basics, interactions, ANOVA, and factorial designs with practical examples.

Model Building: Analysis of Means

Explores model building using analysis of means for predicting factors' effects and interactions.

Experimental Design: Balloon Example

Covers experimental design using a balloon example to illustrate key concepts in factorial experiments and data analysis.

Fractional Factorial Designs

Explores fractional factorial designs, from types to analysis and model building.

Fractional Factorial Design and Analysis

Explores exploiting redundancies, confounding effects, and analyzing fractional factorials in experimental designs.

Fractional Factorial Designs: Understanding Interactions

Covers fractional factorial designs to efficiently study interactions in experiments, focusing on aliasing, geometric interpretation, and effect selection.

Design of Experiments: Efficiency and Interactions

Introduces the Design of Experiments, emphasizing efficiency and interactions in R&D through historical context and practical examples.

Introduction to Applied Data Analysis

Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.

Data Wrangling with Hive: Managing Big Data Efficiently

Covers data wrangling techniques using Apache Hive for efficient big data management.

Understanding Statistics & Experimental Design

Covers basic probability theory, ANOVA, experimental design, and statistical reporting errors.

Data Science Essentials

Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.