Level: Foundation (F)

Learning Outcomes

The course is being delivered over 2 morning sessions. It will give the learner the fundamental understanding of Python to use it to manipulate and work with data. By the end of the course, participants will have a good working knowledge of Python, allowing them to deal with and manipulate data using pandas.

Topics Covered

• Introduction to Python: A brief overview of the background and features including packages and virtual environments.
• Data types: A summary of Python’s core data types and structures
• Pandas: An introduction to manipulating data via Series and DataFrame including basic visualisation

Target Audience

This course will appeal to anyone wanting to learn Python with no prior knowledge as well as those with a basic knowledge of Python who want to fully understand how the base language works. The course will also suit those wanting to know and understand the package Pandas and the use of DataFrames in Python.

Assumed Knowledge

Rob Mastrodomenico

Rob studied a BSc Mathematics and Statistics at the University of Reading. Thereafter, having particularly enjoyed the Statistics side of his degree, he stayed on at Reading to study for a Statistics PhD. Following the completion of his studies worked as a Quantitative Analyst at a statistical consultancy which undertook statistical research and provided sports modeling services in the betting sector.

In 2011 he started up his own company called Global Sports Statistics and has continued working in the sports modeling sector. His interest in Python really began back in 2010 when he was looking at alternatives to R and since then it has become his language of choice.

Rob conducts Python training courses for the Royal Statistical Society and has seen his Introduction to Python Course feature on Sages online training.