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: 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: 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!