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What We Provide

PSDI Skills4Scientists

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Today's researchers must possess skills that extend beyond the specialised knowledge gained through their degrees and professional roles. The Skills4Scientists guidance resources are designed to enhance researchers' capabilities in areas such as computing, research data management, and other transferable research skills, supporting them in all aspects of their work. These resources include interactive learning tutorials, practical guidance topics, and best practices. Additionally, we are collaborating with the community to continuously grow and improve the guidance offered through PSDI.

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You can see the resources that are part of this resource theme below.

Showing 9 of 9 resources

Guidance

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Command Line: Bash and Git Skills4Scientists

This course provides an introduction to using Command line functionality basics such as Shell, Echo and other commands. It also covers navigating a directory structure, understanding input, output and error streams from programs in shell and how to write a Bash scrip to undertake repetitive tasks. Covered here is how to use Git as a version control tool in the command line.

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Data Visualisation Skills4Scientists

This course provides an introduction to the concepts of good data visualisations, how colour perception is important to what graphics can show and how to implement some basic plotting using the python package matplotlib.

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Databases Skills4Scientists

This course provides an introduction to using Command line functionality basics such as Shell, Echo and commands. It also covers: navigating a directory structure; understanding input, output and error streams from programs in shells; and how to write a Bash script to undertake repetitive tasks; how to use Git as a version control tool in the command line.

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Ethics Skills4Scientists

This course provides an introduction to the subject of ethics and research integrity. This includes details of the ethical review process, how ethics needs to be applied to data that is used for Machine Learning and Artificial Intelligence. The course also provides guidance on Responsible Research and Innovation.

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Literature and Referencing Skills4Scientists

This course covers the fundamentals of literature and referencing in the physical sciences. Participants will learn to identify various scholarly sources, understand the purposes of citations, and appreciate their importance in the scientific process.This course covers the fundamentals of literature and referencing in the physical sciences. Participants will learn to identify various scholarly sources, understand the purposes of citations, and appreciate their importance in the scientific process.

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Python I Skills4Scientists

This course is designed to teach participants the basics of programming using Python. For new programmers, the course will teach you the fundamentals of programming using Python as an example. Whilst those who are more familiar with programming concepts can use the course to learn Python syntax and its unique features.

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Python II Skills4Scientists

This course builds on the basics of programming covered in the Python I course. For beginners, it expands on the foundational concepts taught in first course. For more experienced programmers, further examples and guidance are added to help you master Python syntax and its unique features.

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Research Data Management Skills4Scientists

This course provides an introduction to Research Data Management. Participants will explore the data lifecycle, identify its various stages, understand the importance of collaborative working environments, and learn how to identify and manage different types of data within their projects.

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Version Control and Github Skills4Scientists

This course is designed to help participants understand the principles of version control and how it can be used effectively in research projects. Participants will explore common version control methods, learn the associated terminology and find out how software like GitHub implements these methods.

Creators

Philip Leadbitter, Joanna Grundy, Donald Cruickshank, Samantha Pearman-Kanza, Louise Saul & Nicola Knight

Keywords and Subjects

Skill
Research Skill
Technical
Research Data Management
Reseach Support
Soft Skills
Guidance
Support
Upskill
Training
Teaching
Self Learning
Coding
Research Skills
software development
databases
Multidisciplinary