D3 DATA JOURNALISM TRAINING COURSES



D3-MEDIA     DATA JOURNALISM TRAINING PROGRAM
Peter Verweij

1.      Start level
Objectives
This course aims at training basic skills for data journalism practice. The training focuses on working with spreadsheets and making visualizations. Developing a new journalistic attitude aiming at data driven story telling is a second goal of the training.
Format
Training takes 3-4 full days in a computer lab. The training is hands-on. Examples of data sets and assignments are available from a training folder in the cloud.
Content
The training consists of the following topics:
-          What is data journalism?
-          Finding data for a story
-          Downloading data, working with pdf’s, and simple scrapping with Outwit Hub
-          Analyzing data with Excel: formula’s, ordering and selecting, pivot tables and graphs
-          Visualizing data using Datawrapper
-          Mapping data with Google FT and QGIS
-          Turning data into a journalistic story
-          Individual project: practising skills and turning analyzed data in a story with your own data set. Presentation at the end of the training.


2.      Advanced level
Objectives
This course aims at enhancing data journalism skills. These skills ar derived from academic tools used for data analysis. Statistics play an important role in this type of analysis. Introducing basic statistical test, key figures and visualizations of statistics is the second goal of this course.
Format
Training takes 3-4 full days in a computer lab. The training is hands-on. Examples of data sets and assignments are available from a training folder in the cloud.
Content
The training consists of the following topics:
-          Scraping data from multiple webpages, building a scrape, and  using Regex(regular expressions)   in Outwit Hub
-          Working with databases using SqLite in Firefox: making data selections for analysis
-          Using Refine for cleaning data
-          Analyzing selected data with R project, focusing on R commander and basic statistics and visualizations in R studio
-          Working on individual projects

3.      Social Network Analysis
Objectives
This training is an introduction into the basic of social network analysis focusing on the most important parameters for analyzing groups in the network. Showing the importance of social network analyzing for journalism is a second goal of the course.
Format
Training takes 2 full days in a computer lab. The training is hands-on. Examples of data sets and assignments are available from a training folder in the cloud.
Content
The training consists of the following topics:
-          What is social network analysis
-          Working with NodeXL
-          Social network analysis using data from Twitter and Facebook
-          Working on individual projects

4.      Survey: collecting your own data
Objectives
This course is an introduction to the use of the sociological survey, an important tool to collect your  own data.
Format
Training takes 2 full days in a computer lab. The training is hands-on. Examples of data sets and assignments are available from a training folder in the cloud.
Content
-          Introduction to the sociological research design and the position of the survey technique
-          Designing a questionnaire
-          Collecting data using Google forms
-          Analysis of using Excel
-          Working on individual projects

Request for training and prices for individual groups and in-company by e-mail: peter@d3-media.nl



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