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Design-Expert® – The User-Friendly Software for Design of Experiments (DOE) Design-Expert is a powerful design of experiments (DOE) software that combines an easy-to-use, intuitive interface with the latest techniques in multifactorial data analysis. The software guides you through all classic DOE phases: screening, optimization (RSM), and validation. With Design-Expert, you save time and costs in product development while improving process conditions. Why Choose Design-Expert? ✅ Interactive 3D visualizations & contour plots – Quickly and easily identify optimization potential ✅ Versatile experimental designs – From classic designs to split-plot and mixture designs ✅ Multivariate optimization – Optimize multiple response variables simultaneously ✅ Excel export – Objective functions can be exported directly as formulas ✅ Propagation of error analysis – Find robust settings for your processes Features of Design-Expert 📊 Rotatable 3D surface plots – Perfect for visualizing response surfaces 📊 Interactive contour & ternary plots – For precise process and formulation optimization 📊 All classic design types – Including D-optimal screening designs and I-optimal designs for RSM 📊 Definitive screening & split-plot designs – Ideal for hard-to-change factors 📊 Mixture & combined designs – Perfect for chemistry, pharmaceuticals, and formulation development 📊 Optimization platform with numerical optimization – Automatically calculates the best factor settings Perfect for: ✔️ Research & Development ✔️ Chemical and pharmaceutical applications ✔️ Process optimization & quality control ✔️ Formulation & recipe development Download Design-Expert® – Free Demo! Try Design-Expert, the powerful DOE software, for free! The trial version is available for download on the Stat-Ease website. 🔹 Test all features – Experience the full power of screening, optimization (RSM), and validation 🔹 Intuitive user interface – Simple operation for fast results 🔹 Optimize formulations & processes – Ideal for research, development, and quality assurance 📥 Download your free demo now: ➡ Design-Expert Trial Version

GraphPad Prism – The Leading Software for Data Analysis & Scientific Visualization GraphPad Prism is the preferred statistics and graphing software designed specifically for scientific research. Researchers around the world use Prism to perform accurate data analysis, make informed statistical decisions, and present results in professional, publication-ready charts. 🚀 Save time and improve the accuracy of your analyses with GraphPad Prism! Biostatistics & Data Analysis for Life Sciences Originally developed for biology, medicine, and pharmacology, GraphPad Prism is now widely used across the life sciences—from students and PhD researchers to scientists in the pharmaceutical and healthcare industries. ✅ Easy-to-use statistical analysis tools for scientists ✅ Automated graphing for accurate data visualization ✅ Clear, easy-to-understand results interpretation 📌 No other software offers such intuitive and powerful curve fitting! Powerful Statistical Tools in GraphPad Prism GraphPad Prism includes a wide range of statistical tests and regression models to help you analyze your research data precisely and confidently. Included Statistical Methods: 📊 t-tests (unpaired & paired) 📊 ANOVA (one-way, two-way, three-way) 📊 Nonparametric tests 📊 Linear & nonlinear regression 📊 Survival analysis (Kaplan-Meier) 📊 Contingency table analysis 💡 Especially for nonlinear regression, Prism offers advanced tools to calculate EC50, fit complex models, and compare curves with ease. Scientific Graphing with Flexible Chart Customization With GraphPad Prism, you can create high-quality scientific graphs that update automatically when your data changes. 🎨 Graphing Highlights: ✅ Automatically generated graphs based on your analyses ✅ Fully customizable axes, colors, labels, and layouts ✅ One-click templates for professional, consistent output 📈 Create perfect scientific visuals in just a few clicks! Why Choose GraphPad Prism? 🔹 Fast & easy data analysis for scientists 🔹 Automated statistics and charting for accurate research 🔹 Comprehensive tools for biostatistics & nonlinear regression 🔹 Intuitive interface – perfect for students and professionals alike 🚀 Get started with GraphPad Prism and take your scientific research to the next level! 📥 Download your free trial now: ➡ Learn more & get the free trial

EViews – The Leading Software for Econometrics, Time Series Analysis, and ForecastingEViews is the top choice for financial institutions, corporations, government agencies, and academic researchers who require powerful tools for statistical analysis, time series modeling, and forecasting.🔹 Intuitive, object-oriented interface – Easy to use for fast and efficient analysis 🔹 Powerful statistical and modeling tools – Includes ARIMA, GARCH, GLM, Monte Carlo simulations 🔹 Efficient data management – Handle and analyze time series of varying frequencies and formats 🔹 Publication-ready output – High-quality charts and tables for professional presentations and reports📊 Harness the power of the leading econometrics software for precise analysis and reliable forecasting!EViews – Now More Powerful and User-Friendly Than EverThe latest version of EViews introduces advanced statistical methods, enhanced data analysis capabilities, and an improved user interface. It's the ideal tool for economists, financial analysts, and researchers working with time series, panel data, and forecasting models.🆕 Top New Features in EViews✔ Advanced ARDL and NARDL estimation ✔ Improved PMG and VEC models ✔ New Difference-in-Differences estimation ✔ Bayesian Time-Varying Coefficient VARs ✔ Panel cluster standard errors for robust inference ✔ Integration with Jupyter Notebook for Python users ✔ Enhanced graphics, tables, and Excel export ✔ Interfaces with R, MATLAB, World Bank, Eurostat, and more📊 EViews remains the #1 choice for econometrics, statistics, and data analysis!➡ Learn more: Contact

Course: Introduction to GraphPad Prism – Fundamentals of Data Analysis for Beginners In this two-day training, you will gain a solid foundation for working with GraphPad Prism, one of the leading tools for data analysis and visualization in biomedical research. You will learn the complete process of data analysis, from data acquisition to result interpretation. This course is ideal for beginners with no experience in PRISM, as well as for advanced users who want to refresh their knowledge. After the course, you will be able to use the PRISM environment confidently and conduct data analyses independently. You will be able to identify and interpret key metrics of the analysis. Course content: Day 1: Basics of GraphPad Prism 📊 PRISM Interface and Project Types 📊 Data Handling in PRISM: Formats, data entry, and import 📊 Descriptive Statistics: Tables and basic analysis 📊 Creating and Designing Graphs: Different types of charts such as bar charts, scatter plots, box plots, and Kaplan-Meier plots 📊 Graphs for Paired Samples (Before-After, Repeated Measures Graphs) 📊 Visualizing Variability in Graphs: Error bars, standard deviation (SD), confidence intervals (CI) 📊 Exporting Results: Exporting graphs and layouts to PowerPoint and Word Day 2: Statistical Analysis with GraphPad Prism 📊 Mean Comparisons: Performing t-tests, one-way ANOVA, and non-parametric tests 📊 Post-Tests: Selection and execution 📊 XY Projects: Creating dose-response curves, performing regressions, and interpreting the results 📊 Using Post-Tests and Statistical Tools in GraphPad Prism Requirements: No prior knowledge required – the course is ideal for beginners and anyone who needs a refresher. 🕒 Course Duration: 2 days 🔹 Sign up now and improve your analysis skills with GraphPad Prism!

Course: Introduction to JMP – Graphical Data Analysis and Exploratory Data Analysis (EDA) In this one-day course, you will be introduced to JMP, the powerful software for graphical data analysis. You will learn how to conduct exploratory data analysis (EDA) and identify patterns in your data. The course will teach you not only how to navigate the JMP interface, with its menus, dialogs, and reports, but also techniques for data management such as importing, exporting, and transposing data. You will also learn how to create and interpret descriptive statistics and present your results visually. Course Content: 📊 Data Import – Importing data from various sources into JMP 📊 Software Navigation – Efficient use of the interface, menus, and reports 📊 Data Management – Working with column and row menus, transposing and organizing data 📊 Descriptive Statistics – Creating and interpreting basic statistical metrics 📊 Graphical Data Analysis – Performing EDA techniques for pattern recognition in data 📊 Result Presentation – Exporting analysis results and creating reports Prerequisites: 📌 No prior knowledge required 🕒 Course Duration: 1 Day 🔹 Register now and begin your journey into the world of data analysis with JMP!

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®!

Two-Day Course: Process and Product Optimization with Response Surface Methodology (RSM) In this intensive two-day course, you will learn how to efficiently optimize processes and products using Response Surface Methodology (RSM). This method goes beyond factorial designs and allows for the best possible adjustment of influencing factors to achieve optimal results. Why Response Surface Methodology (RSM)? 🔹 Ideal for complex optimization tasks where factorial designs are insufficient 🔹 Determine optimal factor settings for product and process optimization 🔹 Create models for response surfaces to perform simulations and define process windows 🔹 Use Design-Expert® software to easily and efficiently create RSM designs Course Content: ✅ Expanding factorial designs with center-point runs ✅ Creating RSM experimental designs such as Central Composite Designs (CCD) & Box-Behnken Designs ✅ Selecting appropriate regression models for precise analysis ✅ Determining robust computational conditions to improve process stability ✅ Simultaneously optimizing multiple objectives for comprehensive results ✅ Evaluating design quality to ensure reliable data Requirements: 📌 Basic knowledge of statistics and experimental design with factorial designs is helpful — ideally at the level of the course “Introduction to Experimental Design with Design-Expert®.” 🔹 Sign up now and elevate your optimization skills to the next level!

Course: Experimental Design for Mixture Experiments with Design-Expert® In this two-day course, you will learn how to apply statistical experimental design specifically for mixture experiments. Traditional experimental designs are unsuitable for formulation and mixture optimization — instead, mixture designs are needed. This course will provide you with comprehensive knowledge of powerful mixture experimental designs, from creation to graphical analysis and optimization of formulations. You will work with the software Design-Expert® to efficiently create and analyze mixture designs. Why Mixture Experiments? 🔹 Optimizing formulations with multiple components 🔹 Specialized mixture designs for realistic formulations 🔹 Statistical & graphical analysis methods for precise evaluations 🔹 Practical implementation in Design-Expert® with real-world examples Course Content: ✅ Creating & Analyzing Simplex Designs ✅ Selecting suitable mixture designs & models ✅ Generating contour plots in the triangular experimental region ✅ Creating mixture designs with constraints ✅ Optimizing product compositions & formulations ✅ Evaluating design quality & expanding designs ✅ Creating contour diagrams & trace plots for detailed analysis Requirements: 📌 Basic knowledge of experimental design with factorial designs — ideally at the level of the course “Introduction to Experimental Design with Design-Expert®”. 🔹 Sign up now and take your formulation optimization to the next level!

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!

Course: Statistics for Biological and Medical Data – Fundamentals & Practical Application This three-day course covers the basics of statistical analysis for biological and medical data. Instead of complex mathematical formulas, the focus is on practical application. Through hands-on examples, you will learn to understand and confidently apply statistical methods. The course offers a comprehensive overview of statistical analysis methods, their applications, and potential risks – ideal for beginners and professionals looking to refresh their knowledge. What you will learn in this course: 📊 Statistics Fundamentals: Descriptive statistics & key metrics 📊 Interpreting Statistical Graphs: Bar charts, error bars & dose-response curves 📊 Hypothesis Testing & Significance Tests: t-Test, ANOVA (including Repeated Measures) 📊 Nonparametric Methods: Mann-Whitney U test, Kruskal-Wallis test, Wilcoxon test, Friedman test 📊 Regression Analysis: Linear & nonlinear models including dose-response curves 📊 Data Validation: Data transformation, residual analysis (homogeneity of variance, normal distribution, lack-of-fit) 📊 Statistical Experimental Design (Design of Experiments, DoE) 📊 Survival Analysis & Models: Kaplan-Meier curves, Cox model & parametric survival models Prerequisites: ✅ No prior knowledge required – ideal for beginners & practitioners. 🕒 Course Duration: 3 days 🔹 Sign up now and apply statistics with confidence!

Course: Comparative Means with GraphPad Prism – Advanced Course for Experienced Users In this two-day advanced course, you will expand your knowledge of GraphPad Prism and learn the advanced methods for comparing means. The course focuses on the statistical methods implemented in GraphPad Prism such as t-tests, ANOVA, Kruskal-Wallis, normal distribution, and post-tests. You will learn how to apply these methods, interpret them, and use them on your own data. The course provides detailed knowledge on paired and unpaired test methods as well as homogeneity of variance. This course builds on the content from the GraphPad Prism introductory course. It is essential that you are familiar with the software basics, which you can gain by attending the "GraphPad Prism – Introduction" course. Basic statistical knowledge in mean comparison will also be provided. Course contents: 📊 Statistical foundations of mean comparisons 📊 Confident handling of the Prism interface – mean comparison projects (data input and import) 📊 Performing “Column” projects 📊 One Sample T-Test 📊 T-Test and One-Way ANOVA for independent and paired samples 📊 Non-parametric tests for independent and paired samples 📊 Post-tests after mean comparisons 📊 Performing “Grouped” projects 📊 Two-Way ANOVA for independent and paired samples 📊 Post-tests for Two-Way ANOVA 📊 Confident use of graph types and graph design for mean comparisons 📊 Interpretation of statistical metrics and summarizing results in layouts Prerequisites: 📌 This course builds on the "Introduction to Data Analysis with GraphPad Prism" course. 📌 Basic knowledge of operating GraphPad Prism and fundamental statistical knowledge are required. 🕒 Course duration: 2 days 🔹 Sign up now and deepen your skills in mean analysis with GraphPad Prism!

Course: Regression Analysis with GraphPad Prism – Advanced Course for Experienced Users In this 2-day advanced course, you will expand your knowledge of regression analysis with GraphPad Prism. The course focuses on linear and nonlinear regression techniques used in the analysis of biological and medical data. You will learn how to analyze and interpret dose-response curves, enzyme kinetics, and model comparisons using GraphPad Prism. The course provides in-depth knowledge of residual analysis, least squares method, model fitting, and global fitting. Course Content: 📊 Statistical Foundations of Regression – Introduction to linear and nonlinear models 📊 Mastering the Prism Interface – Conducting regression projects (data entry and import) 📊 Linear Regression – Performing and interpreting simple linear regression models 📊 Nonlinear Regression – Applying and fitting nonlinear models in Prism 📊 Data Visualization – Visualizing regression data in GraphPad Prism 📊 Graphs and Charts – Creating and interpreting regression graphs 📊 Statistical Metrics – Interpreting regression statistics and results for your analysis Prerequisites: 📌 Basic knowledge of GraphPad Prism 📌 Statistical knowledge in regression is helpful but not required 🕒 Course Duration: 2 days 🔹 Sign up now and enhance your skills in regression analysis with GraphPad Prism!

Visual-XSel: Easy Application of Powerful Methods for Reliability Analysis, Weibull Analysis, and Design of Experiments Visual-XSel is a user-friendly software that offers a variety of powerful methods for reliability analysis, Weibull analysis, and design of experiments (DOE). With Visual-XSel, users can easily apply complex statistical methods without requiring deep prior knowledge. Our goal is to make complex analytical processes accessible while ensuring the correct interpretation of results. Reliability Analysis with Visual-XSel Visual-XSel offers comprehensive features for reliability analysis, allowing users to evaluate the lifetime and failure probability of products or systems. With powerful algorithms, users can accurately determine reliability metrics and easily visualize the results in clear, informative charts. Weibull Analysis Made Easy Weibull analysis is one of the most important methods for analyzing the lifespan of products. Visual-XSel provides an intuitive user interface that allows users to quickly determine Weibull parameters and accurately visualize the results. The software guides users through the entire analysis process and provides valuable expert tips for interpreting the results correctly. Efficient Design of Experiments and Analysis Visual-XSel also simplifies design of experiments (DOE) by providing an easy-to-use interface that enables users to create, simulate, and analyze experiment designs. This allows you to find the optimal experimental setup for your tests and analyze the results effectively. Step-by-Step Guidance and Expert Knowledge The software leads users through the analysis procedures step-by-step and ensures that even complex data is interpreted correctly. With the help of tooltips and interactive instructions, users receive expert advice for interpreting the results at every stage of the process. Why Visual-XSel? Ease of Use: Visual-XSel makes reliability analysis and Weibull analysis easy and accessible. Step-by-Step Guidance: Users are guided through the entire analysis process. Expert Knowledge: Built-in tips help ensure correct interpretation of results. Powerful Methods: Leverage proven analysis techniques that are easy to apply. Conclusion With Visual-XSel, users can easily perform powerful analytical methods such as Weibull analysis, reliability analysis, and design of experiments without having to rely on complex software solutions.

🌍 Surfer® – Powerful 3D Visualization & Surface Modeling Software Surfer is a leading Windows-based software for 3D surface modeling, contour mapping, and advanced spatial data visualization. With its robust interpolation engine, Surfer transforms XYZ data into high-resolution maps and surfaces – ideal for professionals in geoscience, engineering, environmental studies, and beyond. ✅ Why Choose Surfer? ✔ Advanced Gridding Methods – More control and customizable variograms than any other software ✔ Flexible Data Input – Import data from USGS DEM, ESRI Grid, and a wide variety of file formats ✔ Versatile Visualization Tools – Contours, 3D surfaces, wireframes, shaded relief, vectors, watershed mapping & more ✔ Fully Customizable Maps – Tailor every element for publication-ready output ✔ User-Friendly Interface – Quickly generate high-quality maps with intuitive workflows 🗺️ Applications of Surfer Surfer is the go-to tool for professionals working with geospatial and elevation data: 🌐 Terrain and Bathymetric Modeling 🌄 Landscape Visualization & Surface Analysis 💧 Watershed Mapping and Hydrology 🧱 Volume Calculation & Geological Modeling 🧭 Topographic Map Creation & Overlay Integration 🎨 Visualization Capabilities 📍 Contour Maps & 3D Surfaces Create detailed, interactive maps to visualize spatial trends and terrain variations. 📍 Shaded Relief & Hillshade Effects Render realistic topographic views to enhance depth and clarity. 📍 Watershed Delineation & Volume Analysis Accurately model drainage basins and calculate volumes for environmental or engineering needs. 📍 Base Maps & Overlays Combine vector, raster, and elevation data for multi-layered visual insights. 💼 Who Uses Surfer? ✔ Geologists & Geophysicists ✔ Civil & Environmental Engineers ✔ GIS Professionals & Cartographers ✔ Mining, Oil & Gas, Hydrology Experts ✔ Researchers & Academics in Earth Sciences 🔍 Key Features at a Glance 12+ gridding algorithms, including Kriging, IDW, Natural Neighbor & more 3D surface, wireframe & contour rendering Watershed & catchment analysis Grid editing, filtering & mathematical operations Export to high-resolution raster & vector formats (TIFF, PDF, SHP, DXF, etc.) Integrated coordinate systems & georeferencing Automation with scripting (Scripter, Python, ActiveX) 🎯 Create accurate 3D maps and models with Surfer – faster and easier than ever. 📥 Download your free trial today: ➡ Visit the official Surfer website

Grapher – Powerful Software for 2D & 3D Data Visualization, Chart Creation, and Analysis Visualize Your Data Present your data with unmatched clarity and precision! Grapher offers top-tier graphing and visualization tools to help you get the most out of your data. With over 70 types of 2D and 3D charts, you’ll always find the perfect way to showcase your insights professionally. “Grapher is a full-featured scientific graphing program that allows users to import data in various formats, combine multiple 2D and 3D plots, and customize them down to the smallest detail.” – David Suder, Principal Scientist, Precise Environmental Consultants 📊 Grapher – The Software for Advanced 2D & 3D Visualization, Charting, and Analysis Analyze Your Data Don’t miss hidden insights! Your data might contain valuable patterns and trends. Grapher’s advanced analysis tools, statistical functions, and charting capabilities help you identify trends, uncover relationships, and discover opportunities you might otherwise overlook. “Grapher has become part of my daily routine—professionally, for research, and personally. I recommend it to anyone who will listen!” – Stephen Ross, Japan 📈 Get a complete view of your data with Grapher! Communicate Results Effectively Even complex datasets can be communicated clearly with Grapher. A broad range of customizable chart types helps you present ideas in a format your audience will instantly understand. Let your data speak for itself! “It’s truly the most flexible package on the market. I always say: If you can imagine a graph, you can create it with Grapher.” – Eric Tappa, Earth & Ocean Sciences, University of South Carolina 📌 Create ternary diagrams, polar plots, and many more with Grapher! A Trusted Solution Grapher is trusted by thousands of scientists, engineers, and professionals worldwide. See for yourself why so many experts rely on this powerful data visualization software. “I’ve been using this software since 1987. Nothing else comes close!” – Daniel J. Lombardi, P.G., Principal Hydrogeologist ✅ Experience Grapher – the professional solution for data visualization and analysis. 🔗 Learn more and get your free trial here: ➡ [Grapher Official Website]