|TITLE||Data Analysis with Python|
|LEVEL||D - Doctoral Workshops/Symposium|
|ECTS CREDITS||Not Applicable|
|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.
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.
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
Occ AE - Part 1 - Date: 5 Mar 2020; Time: 17:00 - 20:00; Duration: 3 hours
Occ AE - Part 2 - Date: 26 Mar 2020; Time: 17:00 - 20:00; Duration: 3 hours
|METHOD OF ASSESSMENT||
|LECTURER/S||Jean Paul Ebejer
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Units not attracting a sufficient number of registrations may be withdrawn without notice.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.