GraphPad Prism Overview
What is GraphPad Prism?
GraphPad Prism is the leading data analysis and visualization software specifically crafted for the global life sciences industry. Trusted by over 750,000 users, from students to Nobel laureates, Prism is renowned for making complex biostatistics accessible and for ensuring accurate interpretation of research data. It guides users through appropriate statistical tests, generates clear graphs, and helps organize research projects. Its intuitive interface demystifies statistics, allowing researchers to focus on their science rather than software complexities.
Who it's for:
This software is essential for biologists, medical researchers, pharmacologists, and students in the life sciences who need to perform statistical analysis, create scientific graphs, and ensure the statistical validity of their experimental results. It is tailored for non-statisticians.
Our verdict:
Our verdict is that GraphPad Prism is the definitive and most user-friendly statistical software for life science research. Its ability to simplify advanced statistics while ensuring rigorous accuracy makes it an indispensable tool for anyone conducting biological or medical research.
GraphPad Prism Details
GraphPad Prism Platforms supported
Desktop Mac
Desktop Windows
Cloud, SaaS, Web-Based
Desktop Chromebook
Desktop Linux
Mobile Android
Mobile iPad
Mobile iPhone
On-Premise Linux
On-Premise Windows
GraphPad Prism Support options
Chat
GraphPad Prism Training options
Documentation
In-Person
Live Online
Webinars
Videos
GraphPad Prism Related Categories
GraphPad Prism Typical customers
Freelancers
Small Businesses
Small to Mid size businesses
Mid size businesses
Mid to Large size enterprises
Large enterprises
Very Large enterprises
GraphPad Prism Pricing
Tiered pricing system
GraphPad Prism Features
Most valued GraphPad Prism features by users
Association Discovery
Bayesian Analysis
Data Visualization
Forecasting
Multivariate Analysis
Predictive Analytics
Regression Analysis
Reporting & Statistics
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
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