The Statistics and Data Science curriculum links faculty and students from across the college interested in learning things from data. One important goal is to prepare students for careers in data ...

Computer Science: Elements of Computers and Programming (CS 303E) Statistics and Data Sciences: Introduction to Data Science (SDS 313) and Statistical Thinking (SDS 315) Breadth Requirement SDS majors ...

This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...

The ability to extract value from data is becoming increasingly important in the job market of today. Here, we look at the 9 best data science courses that are available for free online.

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen.

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

YData, a new introductory-level lecture course co-taught by Professors Jessi Cisewski and John Lafferty, will aim to “demystify” data science for students.

Masters in Data Science This is an interdisciplinary Master of Science program offered jointly by the Department of Statistics (COAS) and the Department of Computer Science (CEAS), housed in the ...

Same as DTSA 5900-11 Specialization: Core Concepts in Data Science Instructor: Dr. Geena Kim, Post-Baccalaureate Instructor Prior knowledge needed: Basic probability and statistics (such as in ...

Skills acquired through a Statistics and Data Science Bachelor’s degree are in high demand in the current job market and prepare students for careers in areas such as, statistics, data analytics, data ...

COMP.1005 — Undergraduate Id: 041157 Offering: 1 Credits: 3-3 Description Linguists, chemists, business analysts, social scientists, and essentially everyone needs computational approaches to ...