Data Analytics for Sustainability
About the course:
Are you getting serious about working in the green economy, where you could contribute to a more sustainable future? Corporations, governments, and research institutions are increasing their focus on environmentally friendly practices in all areas of human life and work. This learning plan can help you build essential skills and knowledge needed to join the sustainability effort. By enrolling in this learning plan, you’ll have the chance to learn about the important role that data plays in sustainability science. Not only will you gain knowledge, but you’ll also develop practical skills in exploring data to uncover sustainability insights. You’ll learn to write Python code to perform data analysis and create charts to communicate your discoveries. You’ll survey case studies in which advanced technology promotes sustainability efforts around the world. And you’ll practice writing a proposal for a sustainability solution.
By completing these courses, you’ll earn an industry recognized credential in Data Analytics for Sustainability. This credential can help you stand out to potential employers and demonstrate your commitment to sustainability data analysis.
After completing the courses required for the Data Analytics for Sustainability credential, you should be able to:
Describe the role of data in sustainability science
Describe applications of data analytics to sustainability issues
Create date-based charts to communicate the meaning of sustainability data
Explain the three pillars of ESG (Environmental, Social, and Governance)
Read and write data in Python
Perform data analysis with Python
Create data graphics with Python tools
Describe how artificial intelligence can enhance the management of natural and human resources
Create a proposal for a sustainability solution
Envision a future career in sustainability science
