Required to download 2 different datasets and analyze each dataset using randomly assigned data analytics software: Data Science Course Work, MUM, Malaysia
|Monash University Malaysia (MUM)
Students are required to download 2 different datasets and analyze each dataset using randomly assigned data analytics software.
Dataset 1 (poverty): Eradicating extreme poverty for all people everywhere by 2030 is a pivotal goal of the 2030 Agenda for Sustainable Development. It has been recognized that ending poverty must go hand-in-hand with strategies that build economic growth and address a range of social needs including education, health, social protection, and job opportunities while tackling climate change and environmental protection. As a data analyst, your objective is to conduct an exploratory analysis to better understand the relationships/associations between the level of income (outcome) and the selected socio-economic factors (features).
Dataset 1, extracted from the World Bank Development Indicators, includes the following variables for 151 countries.
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Data set 1 is available on a separate document and TO BE DONE ON PYTHON
Dataset 2 (wage): One of the other UN Sustainable Development Goals is about promoting inclusive and sustainable economic growth, employment and decent work for all (Decent work and Economic Growth). Decent work means opportunities for everyone to get work that is productive and delivers a fair income, security in the workplace and social protection for families, better prospects for personal development and social integration. As a data analyst your objective is to conduct an exploratory analysis to better understand the relationships/associations between the individual’s wage (outcome) and the selected demographic factors (features).
Dataset 2, extracted from The United States National Longitudinal Surveys, includes the following variables for 935 individuals.
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