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Mathematics & Data Science · 🏫 University of California, Los Angeles

UCLA Summer Precollege Focus Series: Python for Economics and Finance

Students earn UCLA college credit while learning Python for economics and finance from one of the top-ranked economics departments in the world.

🔥 High School 🕒 3-week Virtual Camp Online Beginner-friendly

About this camp

The UCLA Summer Precollege Focus Series: Python for Economics and Finance is a three-week virtual program designed for high school students. It offers a basic introduction to Python, a widely used programming language in data science, with a specific focus on its applications in economics and finance. Students will gain foundational coding skills through a hands-on approach, learning about data types and manipulating data for exploration, analysis, and visualization. The curriculum incorporates real-world economic and financial datasets and examples. Participants will apply their programming skills to understand various economic and financial issues in society, engage in lectures by UCLA faculty, and participate in discussion sessions led by UCLA Economics Peer Learning Facilitators. The program aims to enhance analytical and critical thinking skills, enabling students to justify positions based on data and solve quantitative and open-ended problems. Upon completion, students will receive 4 units of UCLA college credit for Econ 10P.

What a typical day looks like

A typical day involves lectures on economics by UCLA faculty, followed by discussion sessions led by UCLA Economics Peer Learning Facilitators, and hands-on application of data analysis using Python on various economic issues.

Best suited for

This program is ideal for motivated high school students aged 15 or older with a cumulative GPA of 3.2 or higher who are interested in gaining college credit and exploring the application of Python in economics and finance.

What you'll learn

Python programming Data exploration Data analysis Data visualization Probability & Statistics Basic Regression & Time Series Economic and financial datasets

Location

Virtual (Online)

Sponsored · Research Ignited

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