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CS501W: INTRODUCTION TO DATA VISUALISATION WITH PYTHON (2022-2023)

Last modified: 31 Jul 2023 11:19


Course Overview

This course will introduce you to the Python programming language and teach you how to use Python to process and visualise data using the popular numpy, pandas and dash libraries. 

Course Details

Study Type Postgraduate Level 5
Term First Term Credit Points 10 credits (5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr N. Oren

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

This course is aimed at those with no, or little, programming knowledge, who wish to be able to gain insights from data. This course will introduce you to the Python programming language, enabling them to write short programs. Following this, we will examine several popular libraries and approaches to data presentation and visualisation. Finally, we’ll take a brief look at real world aspects of dealing with data, including accessing data from various sources, data clean-up, and good programming practice. By the end of the course, you’ll be able to apply your skills gain insights into information hidden within the data. You will also gain an understanding into how to program, and how data can be presented to best effect from myriad data sources. 


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Computer Programming Exercise

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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Manually and autograded assessments

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Resit Assessments

Resubmission of failed elements (pass marks carried forward)

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ProceduralCreateBe able to read and write code in Python.
ProceduralApplyBe able to use standard Python libraries to process and visualise data

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