Overview
Key facts
Pandas, Numpy, SciPy and CSV are all libraries, which are a group of features and functionalities for the programming language Python. The libraries looked at in this intermediate course, are used mainly for data analysis and can help you can use to analyse, filter, manipulate, aggregate, merge, pivot and clean datasets.
Queen Mary University of London's Continuing Coding three-day course focuses on how to write and run simple data analysis in Python and builds on these using some of the extensions available in Python. You’ll also manipulate and clean data as well as use the stats library to conduct basic statistic tests.Programme Structure
Courses include:
- Conduct simple statistical analyses: The Python Numpy Module
- Combine For/While loops and Numpy for complex analysis
- Use Pandas to import and manipulate datasets.
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Computer Sciences View 170 other Short Courses in Computer Sciences in United KingdomAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
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Other requirements
General requirements
- For this course, you’ll need some basic experience with Python, be able to conduct simple statistical analysis. You also have the option to bring your own dataset if you have it.
Tuition Fee
-
International
450 GBP/fullTuition FeeBased on the tuition of 450 GBP for the full programme during 1 days. -
National
450 GBP/fullTuition FeeBased on the tuition of 450 GBP for the full programme during 1 days.
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.