0823IPDA2 Python for Data Analysis

Event Location

Contact

Kylie Norman - [email protected] 

More Information

By the end of this course you will be able to:

• Use Python for Data Science
• Use Pandas for Data Analysis
• Use Seaborn for statistical plots
• Use NumPy for numerical data
• Identify and apply a range of analysis techniques
• Create high quality outputs using Matplotlib

Course Tutor(s)

Ryan Urquhart is a Teaching Fellow in Data Science at the Consumer Data Research Centre based at the University of Leeds. Since 2017 Ryan has been studying for his PhD, focussed on commercial spatial data analysis, with the School of Geography at the University of Leeds and is due to submit late 2022. During his time at the University he has contributed to academic research with journal publications and has supported in the delivery of student education across undergraduate and postgraduate level courses. Prior to PhD studies he completed an MSc in Consumer Analytics and Marketing Strategy at the University Of Leeds Business School after studying BA Journalism at the University of Derby.

Is this course for me?

This is a follow up to the CDRC Beginners Python course and assumes basic knowledge and experience working with coding languages. The previous course is not a pre-requisite however and the aim of the course is to build confidence using Python.