GraphPad Prism - Introduction

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!

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

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!