This Data Lab funded project involved the Data Skills Gateway and Bayes Centre at the University of Edinburgh. The team worked with Effini to deliver a set of training materials around the learning outcomes of two national qualifications. They are designed to support online, in person, and self-directed learning that is short-term, flexible and modularised.
Read MoreThis involves looking at different types (qualitative/quantitative) and features of data, such as accuracy, completeness and sample size, helping to assess its quality, spot errors, and interpret it into meaningful findings.
Read MoreLearners will be able to assess the ethical implications of using data to drive decision making, including an understanding of bias/prejudice and what impact this can have on data science work.
Read MoreUsing data analysis tools to explore and take meaning from data, make calculations (from taking averages to advanced analytical models) and select suitable visualisations, using commonly used platforms (particularly Excel at Citizen and Worker level).
Read MoreAfter gaining this skill, learners will have an understanding of why data is becoming more important, its impact, common sources of data, and how it is used (and misused) by individuals, organisations and across society.
Read MoreThis will ntroduce learners to the vocabulary used in data science and analytics and give them an understanding of the different data roles in an organisation.
Read MoreAn awareness of relevant legislation is important for everyone producing and handling data, particularly personal data. This includes national and international regulations, what data can be shared/published, and approaches to ensuring data is held securely.
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