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Design Expert - Introduction

Ort : Online
The philosophy of experimental design is elaborated as clearly advantageous over conventional experimentation. The creation of factorial plans and their analysis are fully explained.
Description

Product information "Design Expert - Introduction"

Learn in this two-day course how to achieve optimal results with minimal effort using statistical design of experiments (DoE). This method helps you identify statistical relationships and create precise models with as few experiments as possible.

What you will learn in this course: 

✅ Basics of statistical design of experiments (DoE) – Efficient methods for conducting experiments and analysis
✅ Two-stage experiments – Simple but powerful testing methods for informed decision-making
✅ Block factors & screening designs – Identify the most important influencing factors and analyze interactions
✅ Statistical analysis – Assess the confidence of your results with practical methods
✅ Practical application with Design-Expert® – Create and analyze experimental designs step by step

With many practical examples and the software Design-Expert®, you will gain deep insights into efficient experimental methods.

🔹 Sign up now and optimize your experimental design!


Course: Introduction to Statistical Design of Experiments (DoE) with Design-Expert®
Learn in this two-day course how to conduct efficient and well-founded experiments using statistical design of experiments (DoE). The course offers a hands-on introduction to creating, analyzing, and optimizing experimental designs.

Course Content: 

📌 Two-stage factorial experimental designs – Create and analyze factorial experiments for well-founded insights
📌 Developing factorial designs – Increase the efficiency and significance of your experiments
📌 Transformations in regression models – Optimize models with adjusted data
📌 Block factors in design and analysis – Structure and refine your experimental designs
📌 Fractional factorial designs – Reduce experimental effort without missing relevant insights
📌 Expanding experimental designs – Systematically add additional experiments
📌 Graphical & statistical analysis – Use charts and statistical metrics to optimally interpret results

Prerequisites: 

🧠 Basic knowledge of statistics is helpful but not required – statistical fundamentals will be taught in the course.

👨‍🏫 Benefit from expert knowledge and learn how to take your experimental design to the next level with Design-Expert®!

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Design Expert - Quality by Design
Course: Quality by Design (QbD) – Statistical Experimental Design for Pharmaceutical Processes Quality by Design (QbD) is the FDA-recommended method for developing and optimizing pharmaceutical products and processes. The central idea is to define factor spaces within which consistent product quality is ensured. Once a design space is approved by regulatory authorities, the process can be adjusted within these limits without requiring re-approval. This methodology provides new flexibility in the production of pharmaceutical products and medical devices, reducing regulatory hurdles. What You Will Learn in This Course: 📌 Fundamentals of Quality by Design (QbD) & Design of Experiments (DoE) 📌 Statistical Tools: Hypothesis Testing & Regression Analysis 📌 Screening Designs: Efficiently Identifying Key Factors 📌 Response Surface Designs: Defining and Optimizing Design Spaces 📌 Validation of Design Spaces for Regulatory Approval 📌 Practical Implementation with Design-Expert® Software The course will follow a complete QbD cycle using FDA examples and statistically model it with Design-Expert® software. Requirements: 📌 Basic knowledge of Design-Expert® is beneficial. 📌 Knowledge of regression analysis and hypothesis testing is helpful but not required. 🕒 Course Duration: 3 Days 🔹 Sign up now and optimize your pharmaceutical development!

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Design Expert - Process Optimization
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Stat-Ease 360
🚀 Stat-Ease 360® – The Next Generation of Design of Experiments (DoE) Software Stat-Ease 360 is the most advanced statistical software from the makers of Design-Expert®, offering a powerful extension to the renowned DoE platform. Built for engineers, scientists, and analysts, Stat-Ease 360 delivers cutting-edge tools for design of experiments, data analysis, and automation – all within a user-friendly interface. ✅ Why Choose Stat-Ease 360? ✔ Includes all features of Design-Expert® – and more ✔ Seamless Python integration for automation, scripting, and database connectivity ✔ Enhanced DoE tools for simulation-based experiments ✔ Supports Gaussian Process Models, Latin Hypercubes, and model-based optimal designs ✔ Maintains the intuitive user interface of Design-Expert® Whether you're optimizing physical experiments or running computational simulations, Stat-Ease 360 (SE360) provides the tools to boost precision, reduce resource usage, and streamline your workflow. 🔍 New Features in Stat-Ease 360 🔹 Logistic Regression with ROC Curves Perform advanced classification analyses with visual ROC curve output for clear, data-driven decision-making. 🔹 Simulation-Optimized Designs Leverage space-filling designs and modern modeling techniques for accurate computer-based experiments. 🔹 Gaussian Process Modeling Incorporate powerful surrogate modeling tools to better interpret and optimize simulation responses. 🔹 Latin Hypercube Sampling (LHS) Create space-filling designs that efficiently explore the input space of complex models. 🔹 Python Scripting Integration Automate data analysis, connect to external databases, and expand your capabilities with Python libraries and APIs. 👨‍🔬 Designed for Advanced Experimental Analysis Stat-Ease 360 is ideal for: Engineers & Researchers working on simulation and optimization Data Scientists integrating experimental models into Python workflows Product Developers needing faster, smarter insights Six Sigma, R&D, and Quality Teams aiming for data-driven decision-making 🎯 Key Benefits ✅ Full compatibility with Design-Expert® projects ✅ Enhanced tools for simulation, modeling & machine learning workflows ✅ Scalable from small lab tests to high-performance simulations ✅ Modern statistical features with an intuitive interface 📥 Try Stat-Ease 360 for Free! Discover how SE360 can transform your DoE workflows and simulation strategies. ➡ Download the free trial and experience the future of experimental design: 👉 Trial-version

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Design-Expert
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