Last modified: 31 Jul 2023 11:19
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.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Session | First Sub Session | Credit Points | 10 credits (5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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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.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Manually and autograded assessments |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Be able to use standard Python libraries to process and visualise data |
| Procedural | Create | Be able to read and write code in Python. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Create | Be able to read and write code in Python. |
| Procedural | Apply | Be able to use standard Python libraries to process and visualise data |
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