The program uniquely blends principles from computer engineering, mathematics, AI, and statistics to tackle real-world data science challenges.
In this program, students delve into the foundational concepts of programming, including binary computation, problem-solving, algorithms, and data types such as expressions, variables, and functions. They develop Python programming skills, creating modules to implement object-oriented design and problem-solving. The curriculum emphasizes applying these analytic skills to real-world data science applications, exploring data visualization, machine learning, and essential data types. Students learn data manipulation using libraries like pandas and introductory statistical analysis, working on hands-on projects to analyze real-world datasets and draw insights. Upon completion, students will be able to understand core programming concepts, develop Python proficiency, apply their skills to practical data science scenarios, integrate interdisciplinary knowledge, and analyze and visualize data to inform predictions and solutions, helping them determine if a career in computer programming is suitable.
Students attend afternoon sessions from 1:00 PM to 4:00 PM, engaging in Python programming, data manipulation, and hands-on projects.
This program is ideal for aspiring computer programming professionals looking to explore the fundamentals of data science and determine if a career in the field is right for them.
UCLA Campus
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