Syllabus|Investigative Data Journalism Training For Syrian Journalists

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Data Journalism Training for Syrian Journalists in İstanbul (December 2017)

Course Objectives

The data journalism course will present fundamentals of open /data collecting, gathering, cleaning, analysis, visualisation  process and understanding FOIA. Data skills are getting more important to affect data driven works for media industry. In the developing Internet world; to understand and figure out how database journalism turns to data journalism; and as the future of journalism, to teach with open data disciplines how data became a strong role in transferring more efficient growing online resources, tools, and techniques. This course will also address common pitfalls in misinterpreting data..


 

 

 

 

 

 

Lecturer: Pınar Dağ, @pinardag |pinardag@yandex.com |Skype:pinar.dag1|
Course assistant: Zeynep Temel  @zey_temzynptemel11@gmail.com
Tutor hours: Wed 19:00-21:00 pm|Phone:90/532- 134- 53- 92
Class Blog: http://www.verigazeteciligi.com/
Class Notes: https://datajournalismteam.slack.com/


Course Contents

Modules Lesson Timing
Module 1 Introduction to Data Journalism Lesson 1: How Data is Used for Public Interest Stories Week 1
Module 1 Introduction to Data Journalism Lesson 2: How to Find a Story in Data Week 1
Module 1 Introduction to Data Journalism Lesson 3: Sector-Specific Data Stories Week 1
Module 2: From Data to Stories Lesson 1: Common Data Formats Week 1
Module 2: From Data to Stories Lesson 2: Finding Data Online Week 1
Module 2: From Data to Stories Lesson 3: Finding Open Data Week 1
Module 2: From Data to Stories Lesson 4: Alternative Data Sources Week 1
Module 2: From Data to Stories Lesson 4: Planning a Data Story Week 1
Module 2: From Data to Stories Lesson 5: Enriching Stories With Data Week 2
Module 2: From Data to Stories Lesson 6: Analyzing Fact Sheets Week 2
Module 3: Understanding Data Lesson 1: Organizing Data Week 2
Module 3: Understanding Data Lesson 2: Verifying Data Week 2
Module 3: Understanding Data Lesson 3: Summarizing and Simplifying Data Insights Week 2
Module 3: Understanding Data Lesson 4:Essential Statistics Week 3
Module 3: Understanding Data Lesson 5: Evaluating Data Interpretation Week 3
Module 3: Understanding Data Lesson 6: Data Privacy Week 3
Module 4: Data Visualization Lesson 1: Purpose of Data Visualization Week 2
Module 4: Data Visualization Lesson 2:Matching Data and Graph Types Week 2
Module 4: Data Visualization Lesson 3:Design and Color Basics Week 2
Module 4: Data Visualization Lesson 4: Map Theory Week 3
Module 4: Data Visualization Lesson 5: Ethics of Data Visualization Week 3
Module 4: Data Visualization Lesson 6: Visual Storytelling Week 3
Module 5: Data-Driven Stories Lesson 1: Reaching your Audience Week 4
Module 5: Data-Driven Stories Lesson 2: Data Driven Interviews Week 4
Module 5: Data-Driven Stories Lesson 3: Anatomy of a Data Story Week 4
Module 5: Data-Driven Stories Lesson 4: Data-Driven Leads Week 4
Module 5: Data-Driven Stories Lesson 5: Data-Driven Writing Week 4
Module 5: Data-Driven Stories Lesson 6: Solution Journalism Week 4
Lab Scraping Scraping 1 Week 1
Lab Scraping Scraping 2 Week 1
Lab Cleaning Cleaning 1 Week 1
Lab Analysis Excel 1 Week 1
Lab Analysis Excel 2 Week 2
Lab Analysis Excel 3 Week 2
Cleaning Cleaning 2 Week 2
Lab Analysis Excel 4 Week 3
Lab Analysis Excel 5 Week 3
Lab Analysis Excel 6 Week 3
Lab Visualization Visualization 1 Week 2
Lab Visualization Visualization 2 Week 2
Lab Visualization Visualization 3 Tableau Week 3
Lab Mapping Mapping CARTO 2 Week 3
Lab Dashboards Tableau Dashboards 1 Week 4

Learning Outcomes of the Course Unit

Understand the history, current practice and likely impact of data journalism.
Demonstrate the skills involved in accessing, analysing and curating data from publicly available sources, data collection.
Work efficiently in teams and newsroom environments to produce data journalism packages
Demonstrate editing and production skills, online web tools, understanding technologies available to create online, interactive data-driven stories
Design basics, effective visual communication, and data visualisation
Understanding the development process for creating data stories and dealing with messy data
Freedom of Information Request and Understanding the Open Data
Learning techniques for Verification of Digital Content
Making Open Data Creation Practice
Understanding how to use Social Media Data and Analysis & Technical Development
Learning Extended Search Techniques during the solo and group projects.


Planned Learning Activities and Teaching Methods

Weekly course reading materials, use and try the tools before lecture and homework linked  group, and solo projects practice and quizzes.


Source: Eva Constantanas’s educational table was used.



Veri Gazeteciliği Platformu (www.verigazeteciligi.com) sitesinde yayınlanan haber, makale, rapor ve çeviriler genellikle telif hakkına sahip olunan çalışmalardır. Kullanımı için  Creative Commons License lisansı dikkate alınmalıdır.

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