A self-paced tutorial to least-squares data fitting using SciDAVis.

Research output: Other contribution


SciDAVis is a data fitting software package used to fit physically meaningful equations to experimental (assay) data using non-linear regression. Fitting data in this way enables us to extract parameters such as IC50 values and thus to compare the efficacy of different compounds in an experimental assay in a quantitative manner. SciDAVis is free to use and will carry out the basic analyses we need here adequately. Commonly used pay-for software packages which carry out a similar function (and which are more powerful) include GraphPad Prism, SigmaPlot and Origin.

This record contains a self-paced tutorial to enable students to master the basic features of SciDAVis, of non-linear regression in general and to enable students to create a publication-quality figure. It is suitable for computer-literate students (undergraduate and above) and for research staff. The tutorial can be completed within 2 h and I teach it in a workshop setting with a tutor on hand to provide practical assistance. The workbook contains questions for students to complete to enable staff to gauge student understanding.
Original languageEnglish
TypeA self-paced tutorial to least-squares data fitting using SciDAVis
Media of outputNational Teaching Repository
Place of PublicationNational Teaching Repository
Publication statusPublished - 5 Dec 2022


Dive into the research topics of 'A self-paced tutorial to least-squares data fitting using SciDAVis.'. Together they form a unique fingerprint.

Cite this