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Bioinformatics Training

 
Read more at: Managing your Research Data

Managing your Research Data

Description How much data would you lose if your laptop was stolen? Have you ever emailed your colleague a file named 'final_final_versionEDITED'? Have you ever struggled to import your spreadsheets into R? Would you be able to write a Data Management Plan as part of a grant proposal? As a...


Read more at: Introduction to Statistical Analysis

Introduction to Statistical Analysis

Description This course provides a refresher on the foundations of statistical analysis . The emphasis is on interpreting the results of a statistical test, and being able to determine the correct test to apply. Practicals are conducted using a series of online apps, and we will not teach a...


Read more at: Statistics bootcamp using R

Statistics bootcamp using R

Description This 4-days bootcamp provides an in depth look at statistical analyses using R . Day 1 aims to introduce R as a tool for statistics and graphics , with the main aim being to become comfortable with the R environment. As well as introducing core R language concepts, this course also...


Read more at: Reproducible Research with R

Reproducible Research with R

Description This course introduces concepts about reproducibility that can be used when you are programming in R. We will explore how to create notebooks - a way to integrate your R analyses into reports using Rmarkdown . The course also introduces the concept of version control . We will learn how...


Read more at: Introduction to working with UNIX and bash

Introduction to working with UNIX and bash

Description Using the Linux operating system and the bash command line interface, we will demonstrate the basic structure of the UNIX operating system and how we can interact with it using a basic set of commands. Applying this, we will learn how to navigate the filesystem, manipulate text-based...


Read more at: Introduction to R for Biologists

Introduction to R for Biologists

Description R is one of the leading programming languages in Data Science . It is widely used to perform statistics, machine learning, visualisations and data analyses. It is an open source programming language so all the software we will use in the course is free . This course is an introduction...


Read more at: Data Science in Python

Data Science in Python

Description This course covers concepts and strategies for working more effectively with Python with the aim of writing reusable code , using function and libraries. Participants will acquire a working knowledge of key concepts which are prerequisites for advanced programming in Python e.g. writing...


Read more at: High Performance Computing: An Introduction

High Performance Computing: An Introduction

Description The course aims to give an introductory overview of High Performance Computing (HPC) in general, and of the facilities of the High Performance Computing Service (HPCS) available at the University of Cambridge. Practical examples of using the HPCS clusters will be used throughout...


Read more at: Statistics for Biologists in R

Statistics for Biologists in R

Description This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment . The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on...


Read more at: An introduction to Unix shell

An introduction to Unix shell

Description This course offers an introduction to working with Linux . We will describe the Linux environment so that participants can start to utilize command-line tools and feel comfortable using a text-based way of interacting with a computer. We will take a problem-solving approach , drawing on...