Topics include data acquisition and analysis, simulation and scientific visualization. An introduction to data science and machine learning. Fundamentals of data representation and analysis will be ...

Data science is an evolving subject that demands ongoing learning. Books continue to be among the best methods of acquiring ...

Note: This course description is only applicable for the Computer Science Post-Baccalaureate program ... Introduces students to the tools methods and theory behind extracting insights from data.

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.

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 ...

Using the poplar and easy-to-learn Python language, this course offers a practical introduction to basics of programming and how it can be used to analyze, structure, and visualize data. Students will ...

MLDS-413 teaches data engineering skills that are essential for “data science” practitioners, in particular, how to model, organize, store, and analyze data in modern relational database management ...

In today’s fast-paced digital world, the need for skilled data scientists who can harness the power of Artificial Intelligence (AI) and Machine Learning (ML) is skyrocketing. Data Science combined ...

Introduction to the design ... To complete the Master of Science in Data Science, students must earn the remaining of the required 30 credits through completion of approved domain-specific Data ...

Hotwire 1 cr BSCS2015 Data Analysis with Python 5 cr Master's degree in Computer Science: CSM131051 Introduction to the Internet of Things 4 cr CSM141081 Full Stack Web Development 2024 / Full Stack ...