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Guided Practice on Data Analytics
Interested in using data effectively? The Guided Practice on Data Analytics is designed to enhance your ability to analyse, visualize, report and communicate data effectively. Participants will have the opportunity to complete the self‑paced modules at their own pace and have the possibility to work on a personalized on‑the‑job guided practice with mentoring sessions.
The Secretary-General's Data Strategy, and more recently UN 2.0 and the Quintet of Change, highlights the need to start with "data action that adds immediate value for our organization and the people we serve".
This programme is designed to enhance the ability of UN personnel to effectively apply and use data in their work. It is geared to those in research, analytics and reporting, as well as those who wish to expand their knowledge and ability to access, use, interpret and communicate data.
Upon successful completion of the programme, participants will be able to:
- Explain the different types of analytics and their applications in the UN context.
- Implement a scoped data analysis of their needs for information.
- Use data visualization and storytelling techniques to communicate key messages.
- Identify applications of predictive analytics at their workplace.
- Describe key features of predictive models, understanding risks and how to ensure an ethical use.
This is a blended programme with self-paced modules and guided practice with mentoring sessions delivered entirely online.
The Guided Practice on Data Analytics offers:
- A micro-learning experience characterized by small knowledge units (modules and micro-lessons) where participants consolidate and reflect on learnings.
- On-the-job guided practice with three mentoring sessions.
- Scenario-based learning exposing participants to unique real-life challenges and tasks of UN managers.
- Consolidation of takeaways through reflective practices and social learning to facilitate information exchange and peer-to-peer learning.
- Unlimited access to all modules for six months from the date of enrolment.
- A large collection of relevant tools, readings, guidelines and examples that complement the concepts and theories covered in the course.
Participants will be granted unlimited access to the course for six months from the date of enrolment. UNSSC's dedicated e-learning platform tracks completion of individual modules. A final certificate will be given to participants upon completing all modules and successfully passing the on-the-job guided practice.
Each module is estimated to require approximately three hours of study time to complete at your own pace.
Please contact elp@unssc.org for further information.
This is a blended programme which includes:
Seven self-paced modules
- Data fundamentals
- Data science project
- Data exploration and analysis
- Data for decision making
- Data visualization - part 1
- Data visualization - part 2
- Data storytelling
On-the-job guided practice with three mentoring sessions
Participants will work on a personalized, job‑relevant task—applying the knowledge gained throughout the programme with the guidance of a dedicated mentor and receiving constructive feedback to support their learning. They will be able to choose one of two areas for their on‑the‑job guided practice: (1) data collection, cleaning, and analysis, or (2) data visualization and storytelling.
The programme is delivered through UNSSC UNLearn platform. By completing the self-paced modules and on-the-job guided practice, participants will have access to an exclusive alumni network for continuous learning and exchange.
All UN personnel (professional and general service staff) at headquarters and field locations.
$1.000
