Syllabus|Investigative Data Journalism Training For Syrian Journalists

İsranbul’da yaşayan Suriyeli gazetecilere  araştırmacı veri gazeteciliği eğitimleri bu hafta sonu başlıyor.

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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..

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Lecturer: Pınar Dağ, @pinardag |pinardag@yandex.com |Skype:pinar.dag1|
Course assistant: Zeynep Temel  @zey_tem| zynptemel11@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/

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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.

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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.

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Source: Eva Constantanas’s educational table was used.

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