The lauded Preceptor and Curriculum/Pedagogy Specialist in Statistics sat down with Fifteen Minutes to talk about her long-held love of teaching, the importance of good data in an increasingly ...

Graph technology has become a requirement for the modern enterprise. Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics ...

*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.

This course aims to cover various tools in the process of data science for obtaining, cleaning, visualizing, modeling, and interpreting data. Most of the tools introduced in this course will be based ...

Programming C without variables is like, well, programming C without variables. They are so essential to the language that it doesn’t even require an analogy here. We can declare and use them as ...

Data sheets vary between component types and manufacturers. As a result, each data sheet can present its own unique problems. Data sheets vary between component types and manufacturers. As a result, ...

Yes, I would like to be contacted by a representative to learn more about Bloomberg's solutions and services. Firms are struggling to reconcile the different data used across functions and systems.

Introduction to Big Data (DT102) provides the fundamentals needed to allow organizations to turn data into actionable information. Starting with an overview of big data, which covers key enterprise ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...