In this video, Antonietta Mira from the InterDisciplinary Institute of Data Science presents: Introduction to Data Science with Spark. The Data Science with Spark Workshop addresses high-level ...

Data science is all about digging into data to uncover patterns, trends, and insights. It’s the sweet spot where math, programming, and domain knowledge meet. Think of it as a modern-day treasure hunt ...

Introduces students to importing, tidying, exploring, visualizing, summarizing, and modeling data and then communicating the results of these analyses to answer relevant questions and make decisions.

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

A new free eBook became available: Introduction to Data Science by Jeffrey Stanton, Associate Professor at Syracuse University. This book provides non-technical readers with a gentle introduction to ...

Data Science is a structured approach to extracting valuable insights from data, and it involves several key stages to ensure success. Let's explore each phase in detail: By following this structured ...

How do you manage big sets of data? How can you help an organization use its data to make better decisions? That’s where data scientists come in. As a data science major at Luther, you’ll use math, ...