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1 Introduction
2 Getting Started
2.1 Starting with definitions
2.2 What is data analysis?
2.3 Where it stands in the data management cycle
2.4 How do I get started with an analysis?
2.4.1 Identifying the questions driving your analysis
2.4.2 Taking stock of your available resources
2.4.3 Building an analysis plan
2.4.4 Choosing tools
3 Getting clean and usable data
3.1 How to start data cleaning? A few steps to follow
3.2 Export and format data
3.3 Dealing with duplicates, errors, outliers, and missing data
3.3.1 Duplicates
3.3.2 Errors
3.3.3 Outliers
3.3.4 Missing data
3.4 Recoding variables
4 Understanding your data
4.1 Checking the metadata
4.2 Recognizing basic data types
4.3 Using basic descriptive statistics
4.3.1 Frequency distribution
4.3.2 Measures of central tendency
4.3.3 Measures of variability
4.4 Looking for relations between variables
5 Drawing conclusions from your analysis
5.1 Answering your initial questions
5.2 Understanding potential biases
5.3 How far can the analysis be taken?
6 The case study
6.1 Case study presentation
6.2 List of indicators
6.3 Analysis plan
7 To go further
Quantitative data analysis Toolbox
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6 The case study
6.3 Analysis plan
6.3 Analysis plan
28-Feb-2022
1 min
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28-Feb-2022
1 min
28-Feb-2022
1 min