Design of Experiments for Chemistry, Pharma, and Biotech

Designing effective experiments is critical for optimizing yields, product quality, and process efficiency in modern laboratory settings. Without systematic planning, research projects risk wasting valuable time and resources on redundant trials. This written course introduces you to the core principles of Design of Experiments (DoE), helping you analyze complex factor interactions and draw actionable conclusions. What you'll learn: Understand foundational statistics and key terminology used in experimental planning. Apply full and fractional factorial designs to evaluate process variables. Explore response surface methodology to discover optimal formulation parameters. Analyze factor interactions in chemical synthesis and bioprocess optimization. Practice evaluating experimental data through structured text-based scenarios. You will begin by exploring basic terms, variance, and experimental control principles before moving on to practical planning methodologies. This text-based course is tailored for beginners, lab assistants, researchers, and students in chemical, pharmaceutical, and biotechnology fields with no prior statistical expertise required. Start reading today to build a solid foundation in modern experimental design.