This course explores the computational structures that underpin data science, focusing on the frameworks and algorithms that support data analysis and machine learning. You'll learn how to design and implement efficient computations to manipulate data effectively, which is crucial for generating insights from large datasets. With practical applications and examples, this course equips you with the foundational knowledge needed for a career in data-driven fields.
What you'll learn
understand computational structures in data science
implement algorithms for data manipulation
apply frameworks to analyze large datasets
Course objectives
develop efficient computational methods for data analysis
design algorithms that support data processing in scientific contexts