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C7091 Professional skills for data science
Professional Skills for Data Analytics is designed to enhance the professional capacity of students in data analytics. This module provides a comprehensive grounding in essential skills required for data literacy, bolstering existing skills and framing elements of best practice standards. It covers a range of topics including an introduction to R programming, an introduction to traditional statistical analysis and visualization, the creation of GitHub webpages to document and communicate analyses, and the use of Git and Markdown for reproducible practice.
Module content
- R Language: R language
- Tidy data: Tidy data
- Markdown and Github: Markdown and Github
- Statistical reporting: Statistical reporting
Harper Adams Data Science
This module is a part of the MSc in Data Science for Global Agriculture, Food, and Environment at Harper Adams University, led by Ed Harris.