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This repository contains key resources from the Transparency International, Europe Data training

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Training Overview

Based on responses to a pre-training survey, School of Data assessment and Transparency International interests, this five day training focussed on these milestones: data languages, getting and manipulating data, and presenting insights. This served as an intermediate course that allowed learners to learn concepts, techniques and tools to get the data they need, manipulate it into a format to gain the insights they need, and share their insights with their intended audience.

Each milestone comprised of lessons with the following components:

Discovery/Overview

This is where the facilitator provides an overview of the concept, technique or tool being introduced. The objective is to provide background details and and overview of the basic skills needed to become familiar with the objective of the lesson.

Guided Exercise

This component allows learners to work through the concepts introduced in the discovery component through an exercise. The facilitator will work through the exercise together with learners allowing them a chance to complete specific tasks.

Practice Labs

This component involves learners working on an exercise similar to the guided exercise but with additional concepts that are based on the foundational concepts and skill from the previous components The objective is to solidify the ideas under the lesson.

Training Objectives

  • To introduce and become familiar with using a programming language for data work.
  • To learn tools and techniques to obtain data for cleaning, analysis and presentation
  • To learn tools and techniques for presentation (dashboards, infographics) of data to intended audience

Find the agenda here.

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