This intermediate 3-day course focuses on a number of Python packages that are commonly used for data analysis, including CSV, Numpy, SciPy and Pandas. A knowledge of these packages will help you to read in, manipulate and analyse a wide variety of datasets.
During the course participants will manipulate and clean data as well as use the stats library to conduct basic statistic tests. Additionally, this course focuses on how to write and run simple data analysis programs in Python, and builds on these using some of the powerful extensions available in Python. This will be achieved through hands-on worked examples of real life data problems.
Prerequisite is some basic experience with Python.
- Conducting simple statistical analyses (e.g. obtaining means, medians and standard deviations): The Python Numpy Module
- Combining For/While loops and Numpy for complex analyses
- Using Pandas to import and manipulate datasets
- BYO (Bring Your Own) Dataset - Assessment task
The course is directed by Dr Will Lawrence, who completed his PhD at the department of Electronics and Computer Science at the University of Southampton, and who has a background in psychology. Will has rich experience in delivering training in both Python and R, to diverse audiences.
This module can be taken in conjunction with Introduction to Python.
- 10% if you are taking two courses in consecutive weeks
- 20% UK students
- 25%Members of the UK Law and Society Association (UKLSA)
- If five people register from the same institution for the same intake, the fifth place is free
- Goldsmiths students, staff and alumni - email us for current discounts
Refund policy: See AIR courses main page
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Goldsmiths' Main Campus, New Cross, London