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7 Characteristics of Resilient People: Bitesize
PPD bitesize resources are short and high impact; including videos, quick tips guides and interactive bitesize modules. Develop your skills and knowledge quickly, easily, when you need. They complement face to face events and more in-depth online modules.
An introduction to the 8 Wastes (Lean methodology), and how to spot hidden waste in your own processes.
These e-learning modules are available via the InforMEA e-learning platform. Information and guidance on ABS and Nagoya Protocol webpage is available on the University website.
Introduction to Access and Benefit Sharing(ABS)
This course provides an introduction to access and benefit-sharing of genetic resource that originate from overseas.
Sign up on the InforeMEA platform.
Further details about the syllabus information are available here.
Introductory Course to the Nagoya Protocol
This course provides an introduction to the major components of the Nagoya Protocol.
Please see the syllabus for further details and sign up on the InforeMEA platform.
If you wish, you can take a quiz at the end of the both courses to assess your learning progress. You are required to answer at least 80% of the assessment questions correctly in order to obtain a course certificate.
The fundamental-level course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.
This is a free course, register and sign in for the following dates:
19th July 2021
2nd August 2021
16th August 2021
2nd September 2021
13th September 2021
This free training day hosted by Amazon Web Services (AWS) is a hybrid event, with a choice of attending online using Chime in a web browser, or there are 28 places available to attend at Amazon's offices next to Cambridge railway station.
Please confirm your choice of venue by the end of Wednesday (tomorrow) with one final survey:
Are you interested in machine learning, but not sure where to start? Join us for this session with an AWS expert and demystify the basics. Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn how you can start unlocking new insights and value for your business using machine learning.
This is a free course, register and sign in for the following dates:
In this introductory course, you will learn about AWS products, services, and common solutions. You will learn the fundamentals of identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.
This is a free course, register and sign in for the following dates:
26th July 2021
9th August 2021
23rd August 2021
6th September 2021
Learn about AWS's strategy and best practices for performing large-scale migrations. Synthesized from AWS's experience of helping hundreds of enterprise customers move to the cloud, you will learn proven techniques that make migrations successful and tools that will accelerate your migration journey to the AWS Cloud.
This is a free course, register and sign in for the following dates:
This short session will provide an understanding of the principles, tools and techniques involved in Process Analysis with a view to improving business process effectiveness and efficiency. Delegates will have the opportunity to practice using the techniques that they learn via exercises designed to be enjoyable and thought provoking.
Date | Availability | |
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Wed 10 Apr 2024 | 09:30 | [Full] |
Tue 7 May 2024 | 09:30 | [Full] |
This week-long course is aimed at people with little or no experience using statistical analyses in research. It introduces participants to core concepts in statistics and experimental design, aimed at ensuring that the resulting data is able to address the research question using appropriate statistical methods.
The interactive course gives participants a hands-on, applied foundation in statistical data analysis and experimental design. Group exercises and discussions are combined with short lectures that introduce key theoretical concepts. Computational methods are used throughout the course, using the R programming language. Formative assessment exercises allow participants to test their understanding throughout the course and encourage questions and critical thinking.
By the end of the course participants will be able to critically evaluate and design effective research questions, linking experimental design concepts to subsequent statistical analyses. It will allow participants to make informed decisions on which statistical tests are most appropriate to their research questions. The course will provide a solid grounding for further development of applied statistical competencies.
As a follow-up of this course, we run an extra optional session on 25 April. This is an applied, hands-on session where you can bring your own data and we provide direct support to your analysis. This is exclusively available to participants on this course. |
If you do not have a University of Cambridge Raven account please book or register your interest here.
Date | Availability | |
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Thu 25 Apr 2024 | 09:30 | [Places] |