Abstract: 

Python is awesome, I may be biased but it can do loads of things and Data Science is one of them. With Data Science being such a wide subject we will concentrate on dealing with and manipulating data in Python.

We begin by doing a whistle stop tour of the core Python library to give attendees of how Python works and how to do the basics.
Next we expand on that by introducing the Pandas library and show how this allows us to manipulate and deal with data.
The culmination of this session will be a data analysis task putting together everything covered.

Note this course is very much intended for a beginner and those with Python experience may not benefit from what is taught.
All attendees will be required to have installed Python 3 https://www.python.org/downloads/ and the Anaconda distribution https://www.anaconda.com/download/#macos prior to the course this will contain all packages used through the session. Users will also be required to download the file http://www.football-data.co.uk/mmz4281/1617/E0.csv which will be used in the data analysis.

Bio: 

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.