Foundations of Data Science I

An introduction to data science with an emphasis on developing and reinforcing the appropriate skills to tackle data projects and “think with data.” The course features a series of real-world extended case studies and examples from a broad range of application areas, including business, politics, sports, environmental science, public health, social media, and entertainment. Topics include data curation, data extraction techniques, modern data visualization approaches, and data ethics. This hands-on class will meet in a computer lab; in-class activities will include weekly lab assignments using the statistical software package R/RStudio. No prior knowledge of programming is required. Prerequisite(s): Prerequisite: MTH 1000, Concepts in Algebra, or placement into math class beyond MTH1000 Fulfills: STEM in LS Core

School

Science and Engineering

Program

Data Science

Course Number

DSE1001C

Section

A

Instructor

Michael Bradley

Credits

4

Type

Online - Asynchronous

Start – End Dates

01/04/2021-01/29/2021 (4 weeks)

Other Registration Link

https://gps.merrimack.edu/register/?id=22d0949a-7368-4e24-8d30-04844795b2d6