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University of California, Berkeley

DATA 88EX: Economic Models with Python

University of California, Berkeley via edX Professional Certificate

Overview

Introducing DATA 88EX, a comprehensive certificate program designed to bridge the gap between Economics and Data Science using Python Jupyter notebooks. Through a series of hands-on exercises and coding applications, students will delve into key concepts spanning Introductory Economics, Microeconomic Theory, Econometrics, Development Economics, Environmental Economics, and Public Economics. This program offers a unique pathway for learners to apply Python programming and data science principles within the realm of economics.

The certificate is structured to motivate the basics of econometrics from a data science perspective, showcasing how coding can illustrate and reinforce economic concepts. Upon successful completion, learners will gain proficiency in reasoning about and solving simple equations used in microeconomics through coding, as well as programmatically creating and interpreting graphs of these equations. Moreover, they will develop a solid understanding of fundamental economic principles.

Comprising three courses, DATA 88EX covers a spectrum of topics essential for aspiring professionals at the intersection of Data Science and Economics. From Fundamentals of Economics including demand, supply, and public economics, to Advanced Concepts encompassing production, macroeconomic policy, utility, inequality, and development, to Real-World Applications exploring game theory, econometrics, environmental economics, and finance, this program caters to diverse interests and career goals. Targeted learners include students and professionals interested in careers as economists, business analysts, market researchers, investment analysts, and data analysts seeking to enhance their Python skills within an economic context. Prerequisite knowledge includes completion of the Data 8/8X course or familiarity with basic Python programming and the ability to consult documentation for open-source Python libraries like datascience and NumPy. Embark on your journey to mastering the fusion of Economics and Data Science with DATA 88EX.

The idea for the certificate is to take students through a series of exercises to motivate and illustrate key concepts in Economics with examples in Python Jupyter notebooks. The classes will cover concepts from Introductory Economics, Microeconomic Theory, Econometrics, Development Economics, Environmental Economics and Public Economics. The courses will give students a pathway to apply python programming and data science concepts within the discipline of economics.

The certificate aims to motivate the basics of econometrics from a data science perspective, illustrate topics in economics through coding applications , and demonstrate how to construct understanding of concepts in economics by developing and coding examples.

After successfully passing the certificate, students would be able to reason about and solve simple equations used in microeconomics through coding , programmatically create and interpret graphs of simple equations used in microeconomics, and understand basic concepts in economics.

Syllabus

Courses under this program:
Course 1: Fundamentals of Economics

Learn the basic concepts of economics through Data Science applications and Python programming. This is the first of a three course series.



Course 2: Advanced Concepts in Economics

Learn the basic concepts of economics through Data Science applications and Python programming. This course covers applications in production theory, utility maximization, randomized controlled trials, and income inequality. Second course of a three course series.



Course 3: Real-World Applications of Economics

Learn the basic concepts of economics through Data Science applications and Python programming. This course covers applications in inequality and development, econometrics, game theory and oligopoly, environmental economics, and finance.



Courses

Taught by

Eric Van Dusen

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