Python for Spatial Analytics
Date:
01/11/2018 - 02/11/2018
Organised by:
Consumer Data Research Centre (University of Leeds)
Presenter:
Dr Viktoria Spaiser
Level:
Entry (no or almost no prior knowledge)
Contact:
Kylie Norman, 0113 343 0242
k.r.norman@leeds.ac.uk
Map:
View in Google Maps (LS2 9NL)
Venue:
Leeds Institute for Data Analytics (LIDA)
Level 11, Worsley Building
University of Leeds
Description:
This two-day course provides an introduction to Python programming with a focus on data analytics. The course will introduce some basics in Python programming such as data types, basic operations, data sequences and data structures, control flows, exceptions and object-oriented programming. We will then focus on working with actual data, such as survey data, time-series data, JSON data (e.g. Twitter data), and geo-spatial data. This will include visualization and statistical analysis of numerical data. The course will also give an introduction in spatial analyses and visualization of geo-spatial data and an introduction into natural language processing and text mining of large textual data. Short lectures will be interspersed with hands-on practical exercises with plenty of opportunity to work with real data of various types. The participants of this course will leave with a practical understanding of Python and its applications in data analytics, including being able to continue exploring Python in self-study.
Cost:
£100 (students)
£200 (academic, public and charitable sector employees)
£400 (private sector)
Website and registration:
Region:
Yorkshire and Humberside
Keywords:
Quantitative Data Handling and Data Analysis, ICT and Software, Python
Related publications and presentations:
Quantitative Data Handling and Data Analysis
ICT and Software