Introduction to Python

This module introduces the use of Python, a free programming language originally developed for statistical data analysis. Students will learn:

• Ways of reading data into Python
• How to manipulate data in major data types
• How to draw basic graphs and figures with Python
• How to summarise data using descriptive statistics
• How to perform basic inferential statistics

This module is suitable for students who have no prior experience in programming, but participants will be assumed to have a good working knowledge of basic statistical techniques.

• University Students from Tier 1 Departments
• Further details regarding eligibility criteria are available here

• A good working knowledge of descriptive statistics (e.g., the mean and standard deviation).
• Students who are not familiar with basic statistical techniques are advised to take modules from the SSRMP's Basic Statistics stream, up to at least the level of BQA, and preferably the level of DMA.

Number of sessions: 2

There may be an online open-book test at the end of the module; for most students, the test is not compulsory.

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Moodle is the 'Virtual Learning Environment' (VLE) that the SSRMP uses to deliver online courses.

SSRMP lecturers use Moodle to make teaching resources available before, during, and/or after classes, and to make announcements and answer questions.

For this reason, it is vital that all SSRMP students enrol onto and explore their course Moodle pages once booking their SSRMP modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.

For more information, and links to specific Moodle module pages, please visit our website: https://www.ssrmc.group.cam.ac.uk/Key-Information/moodle-vle