About this course

This course serves as an introduction to Data Science and Economics, bridging these fields with practical programming applications. Originally developed as a connector course at UC Berkeley, it focuses on key economic concepts such as Demand, Supply, Equilibrium, and Taxes, and integrates data science methodologies to deepen understanding and application.

The course targets students interested in the interplay between economics and data science, offering economics students an opportunity to enhance their programming skills while applying these to fundamental economic principles.

Course Details

• Institution: BerkeleyX
• Subject: Economics & Finance
• Level: Introductory
• Prerequisites: Data 8X
• Language: English
• Video Transcript: English
• Associated programs: Professional Certificate in DATA 88EX: Economic Models with Python

What you'll learn

• Understanding of fundamental Economics concepts via programming techniques
• Visualizing Demand and Supply curves derived from data analysis
• Capability to code and resolve simple equations using Python
• Skills to graph key microeconomic equations
• Engagement with applications and illustrations from Economics

How these skills apply in the real world

Skills acquired through this course are greatly beneficial for students and professionals interested in Economics and Data Science. By integrating Python programming with economic modeling, learners can:

• Enhance their problem-solving and analytical capabilities in professional economic research or data analysis roles.
• Develop predictive models that can assist in economic forecasting and policy making.
• Improve personal projects or start-ups that require a deep understanding of economic fundamentals applied to real-world data sets.