Quantitative Economics With Data Science

This course is on data science, economics, programming and how they can be used to understand the world around us. It is a complement to econometrics. The focus of this course is to learn practical programming skills for the workplace and future studies in economics and finance. Unlike courses in computer science, data science, or statistics, the emphasis of this course includes both the programming and statistics necessary to analyze data and subsequently interpret results through the lens of economics. This course covers programming and basic scientific computing in Python by re-examining basic economic concepts and models. Students who complete this course will be prepared to work in a data analyst or a data science role with the ability to frame problems in a broader economic context and provide unique insights associated with that context. No prior programming experience is required. Students who complete this module will gain valuable insights into how programming can be utilized in an economic context, providing them with a foundational understanding. It provides a solid starting point for students who want to specialize in data analysis with the ability to frame problems in a broader economic context and provide unique insights associated with that context. No prior programming experience is required.