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April 2020

Geocomputation and Data Analysis with R – POSTPONED

23rd April 2020 @ 9:30 am - 24th April 2020 @ 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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Book cover for Geocomputation with R

**Regretfully, this course has now been postponed until April 2021. Please contact Kylie Norman if you would like to be added to the waiting list.** This two-day course aims to get you up-to-speed with high performance geographic processing, analysis and visualisation capabilities from the command-line. The course will be delivered in R, a statistical programming language popular in academia, industry and, increasingly, the public sector. It will teach a range of techniques using recent developments in the package sf and the…

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May 2020

Introduction to Data Science in Python – London

21st May 2020 @ 9:45 am - 5:00 pm
University of Liverpool (London Campus), 33 Finsbury Square
London, EC2A 1AG United Kingdom
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This is a training and capacity building event organised by the Consumer Data Research Centre (CDRC) in conjunction with the National Centre for Research Methods (NCRM), ESRC funded research projects. This one-day course will introduce you to the nascent field of Data Science using the industry standard, the Python programming language. We will cover key steps involved in solving practical problems with data, from manipulation and processing, to visualisation and modelling. These topics will be explored from a “hands-on” perspective…

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October 2020

Beginner’s Python for Data Analysis

8th October 2020 @ 9:30 am - 9th October 2020 @ 5:00 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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Code on a computer screen

**Bookings for this course are due to open soon. In the meantime you can contact Kylie Norman in order to be added to the registration list.** This 2-day course will introduce you to some basic data analytics skills in Python, and is aimed at novices with day 1 introducing the basics of Python programming including data types, packages, data cleaning, data exploration and visualisation, as well as some basic data manipulation and statistics.  We take a practical approach and aim…

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