Habilidades de Gestión de Datos para la Cooperación al Desarrollo (3ed. 2024-2025)
Description
This course has several objectives, among which it is worth highlighting:
To increase awareness of the importance of data skills in jobs held by social sciences graduates
To facilaite learners to acquire skills related to searching, preparing and analysising data.
To enable learners to share results through effective data visualization and communication aimed at non-specialists
e
To increase awareness of the importance of data skills in jobs held by social sciences graduates
To facilaite learners to acquire skills related to searching, preparing and analysising data.
To enable learners to share results through effective data visualization and communication aimed at non-specialists
e
Other information
The quantity and forms of data available globally is increasing exponentially and global development is amongst the areas seeking to harness its potential. Human capacity and judgement is critical at all stages of data work,. This course has been designed as to help learners develop their data skills in order to make a difference in global society. This course is aimed at students on undergraduate social science related programmes, as well other interested individuals such as early career professionals and new graduates.
Course format
he programme is made up of 5 modules:
1) Opening the Appetite: This module presents how data skills are used in global development, as well as career possibilities of using data in this sector.
2) Assembling the Ingredients: This module describes the most frequent types of data social researchers work with, as well as how to access data and evaluate its quality.
3) Preparing the Meal: This module explains what data visualization is and the main techniques used to analyse quantitative data.
4) Digesting the Meal: This module focuses on how to communicate your results, particularly to non-specialists, and ensure they is used for high quality decision making.
5) Still Hungry: This module presents existing possibilities to further develop your data skills and it’s use in global development.
1) Opening the Appetite: This module presents how data skills are used in global development, as well as career possibilities of using data in this sector.
2) Assembling the Ingredients: This module describes the most frequent types of data social researchers work with, as well as how to access data and evaluate its quality.
3) Preparing the Meal: This module explains what data visualization is and the main techniques used to analyse quantitative data.
4) Digesting the Meal: This module focuses on how to communicate your results, particularly to non-specialists, and ensure they is used for high quality decision making.
5) Still Hungry: This module presents existing possibilities to further develop your data skills and it’s use in global development.
Information
Language |
English |
Self-paced | Yes |
Hours of study | 25 hours |
Recognition |
|
EQF-Level | EQF level 1 |
Accredited | Yes |
Rights | Open license: (re-)use it |
Requirements | Free admittance |
Cost | Free of charge |
Delivery mode | Learn anywhere online |
QA | Quality assured |
Massive | Massive |
Full Course Experience | Full course experience |
Provider | OpenupEd |
17-Jul-2024
Habilidades de Gestión de Datos para la Cooperación al Desarrollo (3ed. 2024-2025)
https://iedra.uned.es/courses/course-v1:UNED+DataSkills_ESP_003+2024-2025/about
The quantity and forms of data available globally is increasing exponentially and global development is amongst the areas seeking to harness its potential. Human capacity and judgement is critical at all stages of data work,. This course has been designed as to help learners develop their data skills in order to make a difference in global society. This course is aimed at students on undergraduate social science related programmes, as well other interested individuals such as early career professionals and new graduates.
This course has several objectives, among which it is worth highlighting:
To increase awareness of the importance of data skills in jobs held by social sciences graduates
To facilaite learners to acquire skills related to searching, preparing and analysising data.
To enable learners to share results through effective data visualization and communication aimed at non-specialists
e
To increase awareness of the importance of data skills in jobs held by social sciences graduates
To facilaite learners to acquire skills related to searching, preparing and analysising data.
To enable learners to share results through effective data visualization and communication aimed at non-specialists
e
English
Self-paced
9-07-2024
9-07-2025
25
25
Universidad Nacional de Educación a Distancia
https://coma.uned.es/
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- Formal certificate available
he programme is made up of 5 modules:
1) Opening the Appetite: This module presents how data skills are used in global development, as well as career possibilities of using data in this sector.
2) Assembling the Ingredients: This module describes the most frequent types of data social researchers work with, as well as how to access data and evaluate its quality.
3) Preparing the Meal: This module explains what data visualization is and the main techniques used to analyse quantitative data.
4) Digesting the Meal: This module focuses on how to communicate your results, particularly to non-specialists, and ensure they is used for high quality decision making.
5) Still Hungry: This module presents existing possibilities to further develop your data skills and it’s use in global development.
1) Opening the Appetite: This module presents how data skills are used in global development, as well as career possibilities of using data in this sector.
2) Assembling the Ingredients: This module describes the most frequent types of data social researchers work with, as well as how to access data and evaluate its quality.
3) Preparing the Meal: This module explains what data visualization is and the main techniques used to analyse quantitative data.
4) Digesting the Meal: This module focuses on how to communicate your results, particularly to non-specialists, and ensure they is used for high quality decision making.
5) Still Hungry: This module presents existing possibilities to further develop your data skills and it’s use in global development.
For more information about the EFQ levels click here
EQF level 1
1
1. Select an image to upload (add files)
2. Click 'start upload'
3. Set the crop settings by clicking on four arrows icon.
4. Drag the crop area and zoom or rotate the image if needed.
2. Click 'start upload'
3. Set the crop settings by clicking on four arrows icon.
4. Drag the crop area and zoom or rotate the image if needed.
Other
Yes
Free of charge
Always online
Yes
Massive
Full Course Experience
OpenupEd
- 0
Universidad Nacional de Educación a Distancia
Education
Teacher training with subject specialisation
2024-11-22 17:48:39