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Python for Economics and Finance Summer Institute

Learn Python, a powerful applicable tool used by economists to analyze and visualize data

Apply programming skills to understand various economic and financial issues in society

The UCLA Economics Precollege Summer Institute is offering a three-week-long introduction to Python for Economists. Python is a commonly used programming language for data science. It is a powerful and easy-to-learn tool that can be applied to make simple histograms or fit complicated machine-learning models. This course is a basic introduction to Python for basic data exploration, analysis, and visualization. Students will learn about data types and focus on analysis through a hands-on approach. Students will complete the program with the foundation to recognize data types and manipulate data for visualization and application. The data and examples will mainly come from finance and economics.

Learn from one of the top-ranked economics departments in the world. UCLA’s Economics Department has two interlocking objectives. We conduct cutting-edge research by developing new methodologies and applying them to understand society’s most critical issues. We also seek to train the next generation of economic leaders in the private sector, government, and academia. You will have the chance to work with current undergraduate students and faculty as part of our Economics Precollege Summer Institute. Expand your knowledge of critical economic issues affecting the United States and the world – all while earning college credit and studying at one of the top-ranked economics departments in the world!

Planned topics will include using newly learned skills in Python programming:

  • Applications: Probability & Statistics
  • Data Analysis
  • Basic Regression & Time Series
  • Justify various positions based on data
  • Problem solve using both analytical and critical thinking to answer both quantitative and open-ended questions
  • Lectures will expand on problems that require input from students
  • Improve analytical thinking skills to manipulate data and present visual models

Fees and Payment Info

The program fee includes the unit fees for the UCLA coursework offered as part of the program and thus varies by UC student status. In addition to the program fee, students are assessed other campus and administrative fees during the summer. This is a summary of fees that commonly apply to the selected student type.

Actual tuition and fees are subject to change by the University of California. Visit the fees, payment, and financial aid section for important disclaimer, as well as more details on fees, payment instructions, and information on delinquency, refunds, and financial aid.

Program Fee
TBD
Registration Fee
$350.00
IEI Fee
$61.00
Document Fee (for first-time Summer Sessions students)
$50.00
Total Estimated Fees:
$461.00
* Fees only apply for certain student types

Meet your instructors

Dr. Randall R. Rojas

Adjunct Associate Professor

Leading the UCLA Python for Economics and Finance Summer Institute is Professor Randall Rojas. Dr. Randall R. Rojas is an Adjunct Associate Professor of Economics at UCLA. His research interests entail a highly interdisciplinary endeavor that transcends disciplinary barriers. His work in Economics is predominantly in the field of econophysics and financial engineering where he applies principles from physics, statistics and psychology to the study of financial markets.

He is also an active researcher in the field of Cognitive Science where he applies Bayesian methodologies to the modeling of knowledge acquisition by humans (human causal learning). His current work in Astrophysics (mainly astrostatistics) focuses on developing novel statistical analyses of the large-scale structure (LSS) of the universe to better understand its rich complexity and history. Dr. Rojas is also highly committed to his teaching responsibilities and was recently awarded the ‘My Last Lecture Award’ by UCLA’s Alumni Scholars Club (2015 recipient).

Education: 
Ph.D. Statistics – University of California, Los Angeles
M.S. Statistics – University of California, Los Angeles
Ph.D. Physics/Astrophysics – Drexel University
M.S. Physics – Drexel University
B.S. Astrophysics- University of California, Los Angeles
B.S. Mathematics- University of California, Los Angeles

Image of Randall Rojas