
July 1, 2024
Paul Fernando Coellar Rios
UN Data Analytics Professional Certificate
CERTIFICATE OF ACHIEVEMENT
Has successfully completed the course:
From January 2024 to June 2024
Jafar Javan
Director,
UNSSC

Paul Fernando Coellar Rios
This programme aims to enhance the data application and utilization skills of UN personnel within the unique context of the United Nations. It is specifically designed for individuals involved in research, analytics, reporting, and those seeking to broaden their knowledge and proficiency in accessing, interpreting, and effectively communicating data. By the conclusion of this course, participants will have acquired the following abilities:
1. Comprehensive understanding of various analytics types and their relevance within the UN context.
2. Proficient execution of targeted data analysis tailored to specific informational requirements.
3. Competent utilization of data visualization techniques and storytelling methods to convey key messages effectively.
4. Recognition and exploration of predictive analytics applications within your own workplace.
5. Application of critical features inherent in predictive models, including risk assessment and ethical implementation.
This course spans from January 2024 to June 2024 and encompasses a blended learning approach that combines self-paced thematic modules, interactive instructor-led webinars, and practical case studies and guided exercises to be completed on the job. The total time commitment required to complete the course is approximately 80 hours.
Skills / Knowledge
- Data Analytics
- Data visualization
- Predictive Analytics
- Data Storytelling
- Descriptive Analysis
Issued on
July 1, 2024
Expires on
Does not expire
Earning Criteria
Required
Module 1 Data fundamentals
Module 2 Data science project
Module 3 Data exploration and analysis
Module 4 Data for decision making
Module 5 Data visualization- Part 1
Module 6 Data visualization- Part 2
Module 7 Data storytelling
Module 8 Fundamentals of predictive analytics
Module 9 The science of predictive analytics
Module 10 Applying predictive analytics
Case Study / On-the-job Practice