Lesson 2 - Analyze

In this lesson you will learn how to make the data ‘speak’. It is very important to learn and consolidate techniques for extracting information from the datasets found, in order to tell effective and incisive stories from the data. The fundamental (and basic) techniques are shown below for collecting, cleaning, analysing, crossing data and creating visualisations for drawing information from them.

To summarise, in this lesson you will learn to:

Observe the data: understand, refine, analyse
Visualise the data using simple web tools
Write a Data Journalism article

Deadline:

13 March 2020

To Do List - Lesson 2

HOMEWORK - Lesson 2

LESSON 2 REPORT FORM

STEP 1 – DATA REFINING

This step illustrates certain specific characteristics that the data you have found may have. You will learn to understand what type of data you have, how to refine them and make them homogeneous and coherent for an initial sorting.

Durata:

10 minutes

Format:

Video + Slides

STEP 2 - DATA ANALYSIS

In this training module you will see more complex operations on the data and the indicator of concept will be applied to the material from which you may take vital suggestions for your analyses.

Durata:

10 minutes

Format:

Video + Slides

STEP 3 – DATA VISUALIZATION

This training module will illustrate certain data visualisation techniques, which are helpful for better representing the data found using graphs and infographics.

Durata:

10 minutes

Format:

Video + Slides

STEP 4 – RESEARCH METHODS: PRIMARY DATA

In this training module you will understand the primary data collection methods that may be more helpful for your research, including for preparing for the next monitoring visit.

Durata:

10 minutes

Format:

Video + Slides

STEP 5 – WHAT IS DATA JOURNALISM

This training module will describe working methods and tools of a Data Journalist and the techniques necessary for achieving a good Data Journalism product.

Durata:

20 minutes

Format:

Video + Slides