Search results (16)
« Back to Skills Training CalendarFundamentals of Statistical Software and Analysis (FoSSA)
Tuesday, 1 August 2023 to Monday, 2 August 2027, 9am - 5pm
This MSD Skills training course consists of online pre-recorded videos and self-directed practical exercises arranged into 7 modules covering a wide range of statistical methods. All course content can be approached using the statistical programmes of R, Stata, or SPSS. Once registered with the course, all students are able to access content for whichever modules and statistical software programmes suit their needs. Each module contains approximately 2-hours of pre-recorded lecture material (split into short videos), one hour of practical content, readings in an online textbook and multiple choice quizzes.
Systems immunology: an intro to multi-omics data integration and machine learning, online
Tuesday, 13 October 2026 to Wednesday, 14 October 2026, 10am - 4pm
Uses machine-learning approaches to integrate biological or biomedical multi-omics datasets for systems-level analysis and knowledge discovery.
Intro to R for biologists, online
Monday, 19 October 2026 to Wednesday, 21 October 2026, 9.30am - 1pm
Introduces the R programming environment for participants with little or no programming experience, covering data import, reorganisation, basic statistics and plotting.
Principles of data visualisation and big data handling, online
Monday, 19 October 2026 to Wednesday, 21 October 2026, 9.30am - 12pm
Covers selecting suitable visualisations, figure design, colour and storytelling with data, together with practical data-wrangling approaches for datasets too large for basic manual handling.
Introduction to machine learning and deep learning in Python, online
Tuesday, 20 October 2026 to Friday, 23 October 2026, 10am - 1pm
A practical introduction to preparing biological data and applying machine-learning and deep-learning methods in Python, including classification, regression, feature selection and convolutional neural networks for image data.
Introduction to MATLAB for medics and biologists, online
Tuesday, 27 October 2026 to Wednesday, 4 November 2026, 2pm - 3.30pm
Provides beginners with hands-on experience of MATLAB and fundamental programming concepts for biomedical or biological applications.
Image Analysis course with Fiji/ImageJ, online
Monday, 2 November 2026 to Friday, 6 November 2026, 9.30am - 12pm
Practical image-analysis training for researchers working with bright-field or fluorescence microscopy, using Fiji/ImageJ to process, quantify and interpret image data.
Data visualisation with ggplot2, online
Tuesday, 3 November 2026, 10am to 1pm
Develops existing R skills to produce clear, reproducible and publication-quality figures from biological or medical data using ggplot2.
Experimental design and statistics in preclinical research: the good, the bad and the ugly, in person
Tuesday, 3 November 2026 to Thursday, 5 November 2026, 2pm - 5pm
Examines the principles and common weaknesses of preclinical experimental design, with emphasis on appropriate statistical thinking, reproducibility and reducing bias.
Intro to R for biologists, online
Monday, 9 November 2026 to Wednesday, 11 November 2026, 9.30am - 1pm
Introduces the R programming environment for participants with little or no programming experience, covering data import, reorganisation, basic statistics and plotting.
Introduction to statistics, in person
Tuesday, 10 November 2026 to Monday, 30 November 2026, 1pm - 4.30pm
Introduces foundational statistical concepts used in medical and biological research and prepares participants to understand and use statistical software appropriately. No previous statistical knowledge is assumed.
Academic Writing with AI, online
Thursday, 12 November 2026 to Thursday, 3 December 2026, 2.30pm - 2.30pm
Academic Writing with AI provides a structured approach to integrate effectively AI tools at each stage of the writing process.
Principles of data visualisation and big data handling, online
Wednesday, 25 November 2026 to Friday, 27 November 2026, 9.30am - 12pm
Covers selecting suitable visualisations, figure design, colour and storytelling with data, together with practical data-wrangling approaches for datasets too large for basic manual handling.
Image Analysis course with Fiji/ImageJ, online
Monday, 30 November 2026 to Friday, 4 December 2026, 9.30am - 12pm
Practical image-analysis training for researchers working with bright-field or fluorescence microscopy, using Fiji/ImageJ to process, quantify and interpret image data.
OxMic: Essentials of Light Microscopy, in person
Wednesday, 9 December 2026, 9.30am to 5pm
Provides a foundation in optical principles, fluorescence microscopy and the selection and use of microscopy techniques, with input from bioimaging specialists.
Experimental design and statistics in preclinical research: the good, the bad and the ugly, in person
Monday, 14 December 2026 to Tuesday, 15 December 2026, 2pm - 5pm
Examines the principles and common weaknesses of preclinical experimental design, with emphasis on appropriate statistical thinking, reproducibility and reducing bias.