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BSc Data Science and Visualisation
An introduction to data and information in health and social care
The courses and learning events in this library have fulfilled our criteria for inclusion, but they haven’t been assessed or endorsed by Social Care Wales.
You'll find more information about our criteria here.
Found 47 results
Understanding and Using Performance Data
Performance data allows you to understand the extent to which you are meeting the authority’s objectives and where you might need to improve.
3rd Party Provider
Excel Extra
This course will help to give you the skills needed to use Excel at an intermediate level
Automated reports with R
By the end of this course you will be able to work on your own data, importing and exporting data from spreadsheets and other data sources. You will learn how to build automated reports using data, text and graphics using R Markdown.
3rd Party Provider
Excel Advanced
This course will help to give you the skills needed to use Excel at an advanced level
3rd Party Provider
Interactive Dashboards & Web Apps using R & Shiny
This virtual course will introduce how to create interactive dashboards and web applications using R and Shiny.
3rd Party Provider
Essentials of Survey Research Design
Learn the art and science of creating an effective survey from initial planning through an introduction to basic weighting and tips on writing survey reports.
3rd Party Provider
BSc Data Science and Business Analytics
Prepares you to solve interdisciplinary problems and make strategic, clearly reasoned decisions using data.
3rd Party Provider
BSc Data Science
Will equip you with the essential skills you will need to make sense of large amounts of data.
3rd Party Provider
BSc Computing (Data and Information Systems)
As a student, you will learn the technical aspects of data science, such as data visualisation, data collection, and data processing. By the end of the course, you will be well-versed in how information systems operate.
3rd Party Provider
BSc Data Science and Visualisation
Data handling, analysis and communication of findings and modern research-driven machine learning techniques.
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