Online Course on Data Analysis For Sustainable Development Planning
The re-birth of development planning in Africa’s economic management, alongside the investment of effort in the formulation of long-term national visions, is occurring at a time when institutions of public policy in most countries of the continent are yet to fully recover from the significant losses of talents and skills which they experienced during the crises, stabilisation and adjustment years of the 1980s and 1990s. Although major investments are being made by governments across the continent to re-build institutional capacities as part of broader state renewal efforts, the progress registered to date is still uneven both across ministerial departments and agencies, and with regard to different types of professional skills. Planning institutions have found themselves tasked with assuming or resuming a central role in the management of long-term national development even as they are struggling to, among other things, enhance the skills base of their officials. A frequently-cited area of need centres on data collection and analyses for development planning. It is a particularly important area of need given that no meaningful development planning can take place without reliable data that is collected using methodologically sound approaches and well-designed instruments, and which is analyzed equally soundly both for current needs and future projections. Equally, in the context of the implementation of United Nations 2030 agenda adopted in 2015, reliable data are necessary to monitor the progress made by the various member States through Voluntary National Reviews (VNRs) during High Level Political Fora. The VNRs aim to facilitate the sharing of experiences as well as strengthening policies and institutions of governments for the implementation of the Sustainable Development Goals (SDGs).
At the end of the course, participants will be appropriately equipped to collect and / or analyze data related to planning, implementation and monitoring / evaluation of sustainable development at the national, subregional and regional levels. Specifically, participants will be able to:
- Understand the National Strategy for the Development of Statistics (SNDS), its need for the development of a country and the production of quality data with best practices.
- Master data collection procedures and the use of the quality approach in data collection for greater efficiency.
- Identify mechanisms for monitoring the SDGs at the national and international levels and principles for developing indicators and indices.
- Use analytical methods and exploratory data analysis and statistical software tools to conduct such analyzes.
- Understand some basic assumptions tests using SPSS Statistics software.