Data science is a concept to unify statistics, data analysis, machine learning and their related methods in order to analyze actual phenomena with data to provide better understanding. This article focused its investigation on acquisition of data science skills in building partnership for efficient school curriculum delivery in Africa, especially in the area of teaching statistics courses at the beginners’ level in tertiary institutions. Illustrations were made using Big data of selected 18 African countries sourced from United Nations Educational, Scientific and Cultural Organization (UNESCO) with special focus on some macro-economic variables that drives economic policy. Data description techniques were adopted in the analysis of the sourced open data with the aid of R analytics software for data science, as improvement on the traditional methods of data description for learning and thus open a new charter of education curriculum delivery in African schools. Though, the collaboration is not without its own challenges, its prospects in creating self-driven learning culture among students of tertiary institutions has greatly enhanced the quality of teaching, advancing students skills in machine learning, improved understanding of the role of data in global perspective and being able to critique claims based on data.

COVID-19 has disturbed people’s patterns of life and sources of income, particularly the income of informal sector business operators and households worldwide. As extraordinary policy initiatives are calibrated, the requirement for timely statistics on health and economic development rises. Thus, the purpose of this research is to analyze the Internally Generated Revenue (IGR) available to Nigerian states in 2020 and 2019 by examining the disparities caused by the COVID-19 pandemic and its impact on the country’s approximately 200 million people. The exploratory research approach was used, with a particular emphasis on descriptive and trend analysis of the data acquired during the study periods. According to the findings, 46% of Nigerian states, including the Federal Capital Territory, suffered reductions in IGR generation as the pandemic surged, whereas 35 per cent of the states experienced a corresponding increase in IGR and confirmed COVID-19 infections. However, 16% of the states reported an inverse growth in their IGR as the number of verified COVID-19 cases decreased. To deal with the unprecedented shocks caused by the ongoing existence of COVID-19, which necessitate the tapping of new information and revenue streams, a continual review of countries’ revenue sources is required.