Study-Unit Description

Study-Unit Description


CODE DOC6024

 
TITLE Data Analysis with Python

 
LEVEL D - Doctoral Workshops/Symposium

 
ECTS CREDITS Not Applicable

 
DEPARTMENT Doctoral School

 
DESCRIPTION Most doctoral researchers generate or measure data in their research which they would like to analyse, process and visualise. Python is one of the easiest and widely-used programming languages which allows reading and writing from files, and plotting data in very few lines of code. It is open-source (free) and runs on any operating system. This workshop will assume no prior experience with programming whatsoever, and will guide researchers to write their first Python script, process basic datasets, and visualise the data.

Outcomes:

By the end of this workshop, doctoral researchers should be able to:

- write a basic script in Python;
- make use of standard libraries, such as numpy, pandas and matplotlib;
- make use of basic data structures;
- perform numerical operations on data;
- read and write data to and from a file;
- visualise data using several plots.

 
ADDITIONAL NOTES This workshop is split into two parts – Part 1 and Part 2. Attendance is required in both parts.

Timetable Details

Semester 1
Occ A - Part 1 - Date: 18 Oct 2019; Time: 13:00 - 16:00; Duration: 3 hours
Occ A - Part 2 - Date: 25 Oct 2019; Time: 13:00 - 16:00; Duration: 3 hours

 
STUDY-UNIT TYPE Workshop

 
METHOD OF ASSESSMENT
Assessment Component/s Resit Availability Weighting
Attendance No 100%

 
LECTURER/S Jean Paul Ebejer
Gianluca Valentino

 
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the study-unit description above applies to the academic year 2019/0, if study-unit is available during this academic year, and may be subject to change in subsequent years.

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