Students earn UCLA college credit while engaging in a comprehensive and immersive study of data science with Python, taught by faculty from a top-ranked economics department.
The UCLA Summer Precollege Focus Series on Data Exploration, Analysis, and Visualization with Python offers high school students an immersive, three-week introduction to data science. Students will learn foundational Python programming skills, focusing on data types, flow control, functions, and loops. The curriculum emphasizes hands-on data analysis using libraries like NumPy and pandas for numerical programming and data manipulation. Participants will gain practical experience in data exploration, cleaning, and visualization, utilizing tools such as Matplotlib to create effective charts and graphs. The program also introduces concepts like basic regression and time series analysis, enabling students to interpret data and justify positions based on their findings. Through lectures and discussion sessions, students will develop critical thinking and problem-solving skills, applying their knowledge to real-world datasets, often drawn from finance and economics. The program aims to provide students with a solid foundation to recognize data types, manipulate data for visualization, and understand its application in various contexts, preparing them for future academic and professional endeavors in data science.
A typical day involves lectures on Python programming and data analysis concepts, followed by hands-on exercises and discussion sessions where students apply their newly learned skills to real-world datasets.
This program is best for motivated and driven high school students (grades 9-12) who are at least 15 years old and interested in gaining an academically challenging, college-level experience in data science with Python.
Virtual
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