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Applied Economics with Python

Learn to analyze economic concepts using Python and data science techniques in this intermediate-level 4-week course.

Learn to analyze economic concepts using Python and data science techniques in this intermediate-level 4-week course.

This intermediate course, part of Berkeley's Data Science and Economics series, combines economic theory with practical Python programming applications. Students explore advanced economic concepts including production theory, utility maximization, and income inequality through data science approaches. The curriculum features hands-on programming challenges implementing Cobb-Douglas functions, constrained optimization, and analysis of international development data, providing a unique bridge between economic theory and computational methods.

Instructors:

English

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Applied Economics with Python

This course includes

4 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

8,175

Audit For Free

What you'll learn

  • Implement Cobb-Douglas production and consumption functions in Python

  • Analyze utility maximization and constrained optimization problems

  • Calculate income inequality measures including Lorenz Curves and Gini Coefficients

  • Evaluate international development trends using data analysis

  • Develop demand curves from utility functions

  • Assess national production accounts through computational methods

Skills you'll gain

economic modeling
python programming
data analysis
production theory
utility maximization
income inequality
international development
computational economics

This course includes:

PreRecorded video

Graded assignments, Exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Certificate

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There are 4 modules in this course

This comprehensive course bridges economics and data science through practical Python applications. Students learn to implement economic models computationally, covering topics from production theory to international development. The curriculum includes hands-on programming with Cobb-Douglas functions, utility maximization problems, and analysis of inequality measures. Special attention is given to real-world applications using actual economic datasets, making abstract concepts concrete through computational methods.

Production and Cobb-Douglas

Module 1

Utility Maximization

Module 2

Inequality

Module 3

International Development

Module 4

Fee Structure

Instructor

A Pioneering Leader in Data Science Education and Curriculum Development

Eric Van Dusen serves as a Lecturer and Tech and Outreach Lead in Data Science Undergraduate Studies at UC Berkeley's College of Computing, Data Science, and Society, where he has transformed data science education over the past decade. After earning his BS from UC Berkeley and PhD in Agricultural and Resource Economics from UC Davis, with specializations in International Development and Econometrics, he has built an impressive career combining economics and data science education. Since joining Berkeley's Data Science program in 2017, he has pioneered innovative curriculum development, including creating new courses that bridge data science with economics and international development. As Director of Curriculum in the Division of Data Science and Information, he has led significant initiatives including the development of Data Science Modules, Connector courses, and the expansion of data science offerings across disciplines. His work has been instrumental in making data science education more accessible, particularly through the implementation of cloud-based infrastructure using Jupyter notebooks. Van Dusen's impact extends beyond Berkeley through his leadership in the National Workshop on Data Science Education and the California Alliance for Data Science Education, where he works to make data science education broadly accessible to community colleges and other institutions. His international experience spans projects in Mexico, Central America, Uzbekistan, and Kenya, contributing to his unique perspective on applying data science to real-world challenges.

Applied Economics with Python

This course includes

4 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

8,175

Audit For Free

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.