25.9.12
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UN Data Analytics Professional Certificate

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

course
Module 1 Data fundamentals
course
Module 2 Data science project
course
Module 3 Data exploration and analysis
course
Module 4 Data for decision making
course
Module 5 Data visualization- Part 1
course
Module 6 Data visualization- Part 2
course
Module 7 Data storytelling
course
Module 8 Fundamentals of predictive analytics
course
Module 9 The science of predictive analytics
course
Module 10 Applying predictive analytics
exam
Case Study / On-the-job Practice