Emmanuel College

COMP2201 - 01 - Data Analytics

Credits

4.0

Term

Jan 14 - May 4

Open Seats

10 of 24

Schedule

Tue, Thu 10:50am – 12:05pm

Course Type

Lecture

Location

In Person

Section

01

Faculty

J. Barrett

Prerequisites

Complete MATH*1118, MATH*1117 and MATH*0118 or MATH*2113

Description

We are all completely inundated with data, yet only a small fraction of the population has the skillset necessary to interpret, understand, and communicate the meaning inherent within datasets. The goal of this course is to give students lifelong and lucrative skills in raw data retrieval, data cleaning, data analyses, and data visualization. Students will engage with datasets from a variety of fields and use computational, statistical, and visual methods to tell a story. Students will develop valuable technical skills focusing on programming, statistical inference, and clear communication. Additional professional skills will be developed in teamwork, critical thinking, and problem solving. By the end of the class students will demonstrate a proficiency in various tools essential in the field of data science.