Dates: To be confirmed

Duration: 15 hours

Level: Intermediate

Location: Queen Mary Enterprise Zone/ Online

Course Fee: £450

Learning Outcomes:

By the end of the course you will be able to;

  • Conduct simple statistical analyses: The Python Numpy Module
  • Combine For/While loops and Numpy for complex analysis
  • Use Pandas to import and manipulate datasets. 

Continuing Coding

Get to grips with a number of different Python packages that are commonly used for data analysis like Pandas, CSV, Numpy and SciPy.

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.

This 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.

Who is this course for?


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.

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