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

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