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Cathie Marsh Institute for Social Research (CMI)

Python Essentials Skills

Date: 25 March 2019
Time: 1pm - 4pm
Instructor: Peter Smyth
Level: Introductory
Fee: £60 

CMI offers up to five subsidised places at a reduced rate of £60 per course day to research staff and students within Humanities at The University of Manchester. These places are awarded in order of application. 

Humanities PGR students at The University of Manchester can apply for a methods@manchester bursary to help cover their costs. All applications will be considered on a case-by-case basis and applicants will be required to provide a supporting statement from their supervisor.

Please contact Joshua Edgar (email: methods@manchester.ac.uk) for a Bursary application form for any general course enquires please contact cmi-shortcourses@manchester.ac.uk

Please note: this is not guaranteed and is considered on a case by case basis. Please contact us for more information.

Outline

This ‘Essential Skills in Python’ workshop  is for any researcher who has data they want to analyse using the Python programming language. No prior computational experience is required. This hands-on workshop provides an introduction to the Jupyter Python programming environment and demonstrates the use of the Python language for performing basic data analysis.

Course objectives

On completion of this workshop, the participants will be able to;

  • Install Python and the Jupyter environment on their own machine
  • Be familiar with the Jupyter Notebook environment
  • Understand Python variables, data types, objects and simple programming constructs
  • Understand how to get help and make use of 3rd party Python libraries like pandas
  • Read csv based files into pandas dataframes
  • Manipulate data within  pandas dataframes
  • Perform simple visualisations of data.

Prerequisites

None

Recommended reading

None

About the instructor

Peter Smyth is a Research Associate at the University of Manchester, based in the Cathie Marsh Institute. He has spent 35 years working in IT at various large and small commercial organisations before taking an MSc in Big Data Analytics at Sheffield Hallam University and moving into academia. In his previous roles he used any convenient programming environment to hand to solve problems. Now he teaches a variety of programming languages to help others to do the same.

He is a qualified Data and Software Carpentry instructor.

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