All-provider course timetable

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.

• ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
• 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. 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.
• Guidance on visiting Cambridge and finding accommodation is available here.

A course specifically for NHS staff. Attendees will learn how to search databases accessed with an Athens login (such as Medline, Embase and Cinahl) effectively and efficiently, to learn how to save searches and references, and to create and maintain a bibliography.

All attendees are required to have an NHS Athens login. University of Cambridge staff and students wanting to learn similar material should book onto the Introduction to Literature Searching (for University) course instead.

Please note that this session takes place in person, in the Medical Library training room.

This 4-hour mental health awareness training is intended for frontline staff at Colleges and Academic Faculties/Departments whose roles are pastoral or include responsibilities for responding to student welfare.

The session offers:

• A brief overview of student mental health in Higher Education.
• Best practice guidance on identifying and responding to students who may be experiencing mental health difficulties.
• Context-specific case vignettes and scenarios to improve staff confidence in intervening and applying skills in discussions with students, including those who may be experiencing poor wellbeing, mental ill-health and thoughts of suicide.
• Evidence-based and practical strategies for promoting student and staff wellbeing, including self-care for staff.
• Key resources and services in place to support mental health locally and nationally.

Please note these are stand-alone training sessions and participants should only attend one session.

This training is provided free of charge to College and University staff thanks to a philanthropic donation. The cost of providing the course is £25 per participant.

• This is the Live Online version of the Supporting People Through Change (In Person Face to Face).

During change we often focus on what will be delivered and if it will be right for the job, but we often focus less on the need to support, reassure, and motivate those impacted by change – the people side of change.

This short session for staff with people-management responsibilities (including PIs, supervisors and team leads) will explore approaches to the people side of change in the context of the University. Whilst high-level sponsorship provides senior leadership and the rationale for change, research shows that direct line managers have the most influence on how their team respond to change by helping to support people in understanding, preparing for, and adopting changes in working life and practice. “Change happens one person at a time.” Prosci.com.

Using the HR Transformation Programme and the introduction of myHR as an example, we will look at how the approaches we are using to support colleagues across the University can be applied to the changes you may be leading in your team or area.

Join us to consider skills and techniques for supporting people through change, using consistent language to help build our individual and collective change capability, for the everyday changes and for the more significant ones.

Please Note: Once you have booked on the course, click on Add to Calendar to start the process to import the course appointment into your calendar. This contains the link to the MS Teams course meeting under Joining Instructions that you will use to join on the day of the course.

Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need.

The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models.

We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so.

No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research.

The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk.

Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need.

The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models.

We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so.

No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research.

The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk.

Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need.

The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models.

We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so.

No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research.

The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk.

Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need.

The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models.

We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so.

No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research.

The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk.

Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need.

The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models.

We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so.

No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research.

The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk.

Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need.

The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models.

We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so.

No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research.

The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk.

You've heard of a book group, but how about one for podcasts? In these sessions we will focus on a different episode from the wonderful Squiggly Careers Amazing If podcasts, which includes over 300 episodes on career based topics ranging from coaching and confidence, to strength and values.

Before each session you will be sent a link to a podcast episode to listen to and reflect upon. During the session you will be led through a selection of tasks/exercises recommended in the episode Pod Sheet. You will have the opportunity to work on these individually and then reflect back as a group.

Session 12: How to work well with different people

In this episode podcast hosts talk about how to understand what makes you different and how to work effectively with other people who may work differently from you. They introduce the concepts of ‘heated hexagons’, ‘data-based diamonds’, ‘talkative triangles’, and ‘consensus-seeking circles’ and share their top tips for bringing the best out of the different people you work with.

Fire Safety Awareness training will raise attendees' awareness of fire safety and assist fire safety managers to comply with current fire safety legislation.

University staff working in embedded accommodation at Addenbrooke's Hospital should attend the NHS' fire training for its tenants. This will cover general fire safety awareness specific to the main hospital. (See related courses below for further details.)

This 3-hour session is a bespoke programme for staff in senior leadership roles at the University and Colleges on the topic of mental health and wellbeing in their workplace and the educational context.

The session offers:

• An opportunity for senior leaders to support a whole institution approach to mental health and wellbeing, promoting an informed and compassionate higher education community which is conducive to wellbeing and supports the full academic, occupational, and social potential of all staff and students.
• A brief overview of staff and student mental health in Higher Education.
• Best practice guidance on identifying and responding to staff and students who may be experiencing mental health difficulties.
• Context-specific case vignettes and scenarios to improve staff confidence in intervening and applying skills in discussions with staff and students, including those who may be experiencing poor wellbeing, mental ill-health and thoughts of suicide.
• Evidence-based and practical strategies for promoting wellbeing throughout the higher education community, including self-care for staff.
• Key resources and services in place to support mental health locally and nationally.

Please note these are stand-alone training sessions and participants should only attend one session.

This training is provided free of charge to College and University staff thanks to a philanthropic donation. The cost of providing the course is £25 per participant.

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.

A series of 30 minute drop-in sessions to talk with one of the Continuous Improvement team. We offer expert, impartial advice relating all things process improvement and want to support our colleagues on their own continuous improvement journeys.

Please note, these sessions are informal, 1-2-1 meetings where colleagues can ask for advice and guidance from the team. These are not workshops or taught sessions.

The team will be available 9-10 and 4-5 every Tuesday and Friday - each hour can be split into two sessions of 30 minutes depending on demand.