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Curricular information is subject to change
By the end of the module students should be have attained considerable mastery in R. They should be able to produce professional quality data analytics and documents via Rstudio which are suitable for use in a business environment.
Student Effort Type | Hours |
---|---|
Specified Learning Activities | 24 |
Autonomous Student Learning | 72 |
Online Learning | 24 |
Total | 120 |
Students must have completed one of the modules Data Programming or Data Programming with R
Resit In | Terminal Exam |
---|---|
Autumn | No |
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
John O'Sullivan | Lecturer / Co-Lecturer |
Mr Brian Buckley | Tutor |