Voice Data Literacy Training Program

Categories: Data Skills
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About Course

This course is designed to equip learners with basic data skills that allow them to collect and analyse data, and prepare data for dissemination.

 

Learning objectives

● Conduct high-quality rapid research and use the results directly for policy analysis or decision-making

● Managing data effectively

● Extracting and collecting data from various sources

● Using Microsoft Excel and Google Sheets to manipulate, visualise and analyse data

● Preparing professional and effective policy briefs

● Communicating research findings to the target audience effectively

 

Data

To access all the details (dataset, dataset summary, data dictionary) of the data below, please create an account on data.world and share your login name and email

with me by filling out this quick survey.

1. ILGA dataset

2. Mental Health & Pride

3. MPs dataset

4. Master learning dataset

 

Grading/Assessments

Getting a score on any assignment above 50% is considered a pass. One must retake the assignment if one does not get at least 50% on the assignment. However, some assignments will be graded based on completion and a pass designated at the instructor’s discretion.

 

Course Policies

Please peruse the syllabus, follow instructions and be punctual for all sessions.

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What Will You Learn?

  • Conduct high-quality rapid research and use the results directly for policy analysis or decision-making
  • Managing data effectively
  • Extracting and collecting data from various sources
  • Using Microsoft Excel and Google Sheets to manipulate, visualise and analyse data
  • Preparing professional and effective policy briefs
  • Communicating research findings to the target audience effectively

Course Content

Course Introduction

  • Module Introduction
  • Learning Objectives
  • Course Requirements
  • Course Schedule
  • Deliverables and Capstone Project

Introduction to research methods

Extracting data
For this topic, you'll need Microsoft Excel

Qualitative Data analysis

Quantitative Data analysis

Data visualisation:

Reporting findings

Research Ethics

Data Protection

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