All-provider course timetable

This course complements the supervising training and information your Department will provide. It is a course that consists of: an online module, which introduces practices and principles of undergraduate supervision at Cambridge, and an online workshop in which you will explore challenges and approaches to supervising.

If you are a newly appointed Departmental Safety Officer (DSO), this course will give you all the essential information you need to understand your new role - what the role involves and what is doesn’t. We will introduce the key topics of Health and Safety that you will be working with and have plenty of opportunity to discuss any queries that you have. The course should be completed within 3 months of being appointed as a DSO. Space permitting, we also welcome current DSOs and others with a health and safety role.

The Programme offers general language tuition with a focus on communicative competence.

At a basic level, the focus is on every day and real-time, oral/aural communication. Each course features a functional-notional syllabus and grammar points are analysed in context.

For more detailed information about the course please visit our website.

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 to R designed for participants with no programming experience. We will start from scratch by introducing how to start programming in R and progress our way and learn how to read and write to files, manipulate data and visualise it by creating different plots - all the fundamental tasks you need to get you started analysing your data. During the course we will be working with one of the most popular packages in R; tidyverse that will allow you to manipulate your data effectively and visualise it to a publication level standard.

If you do not have a University of Cambridge Raven account please book or register your interest here.

• Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
• Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
• Further details regarding eligibility criteria are available here.

This is a HRTP UAT session for HR product owners and HR subject matter experts. This is an invitation only event.

Please Note: It is important that when you book on this course, on your booking confirmation page, click on Add to Calendar to start the process to import the course appointment into your calendar.

• See Related Courses below to take your skills further

This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself , and to interpret and write about your results intelligently.

Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.

To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.

This is an opportunity for the members of the University to go one-on-one with Tableau experts across the Business Information and Strategic Insights Team, who can help you solve challenges.

This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself , and to interpret and write about your results intelligently.

Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.

To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.

The Programme offers general language tuition with a focus on communicative competence.

At a basic level, the focus is on every day and real-time, oral/aural communication. Each course features a functional-notional syllabus and grammar points are analysed in context.

For more detailed information about the course please visit our website.

PLEASE NOTE: This course is PRIMARILY FOR CLASSICISTS.

This weekly class is intended to help research students in the Arts, Humanities & Social Sciences to develop their skills in reading German documents they need to deal with in their research. Each session will be divided into two parts:

The first part will consist of grammar, tasks to develop insight into the reading process, help with dealing with complex sentence structures, academic conventions, abbreviations, etc.

The second part will be devoted to the translation of original German texts from different periods and covering a range of topics. Each week you will be asked to attempt a translation into English of a German passage. Students will be encouraged to bring along German texts from their own research to translate.

For more detailed information about the course please visit our website.

There is an increased emphasis on managing and sharing data produced in research. Many of the research funders supporting work at the University of Cambridge require that research data are openly available with as few restrictions as possible.

Research data management is a complex issue, but done correctly from the start, could save you a lot of time and hassle at the end of the project; when preparing your data for a publication or writing up your thesis. Research data takes many forms, ranging from measurements, numbers and images to documents and publications.

This session aims to help you get started with managing your data by introducing you to key principles around organising, storing, archiving and sharing your data. You will also learn how to create your own Data Management Plan.

The Programme offers general language tuition with a focus on communicative competence.

At intermediate 1 level, the focus is on every day and real-time, oral/aural communication. Each course features a functional-notional syllabus and grammar points are analysed in context.

For more detailed information about the course please visit our website.

The Programme offers general language tuition with a focus on communicative competence.

At a basic level, the focus is on every day and real-time, oral/aural communication. Each course features a functional-notional syllabus and grammar points are analysed in context.

For more detailed information about the course please visit our website.