Syllabus / Version 1

INT 504 Introduction to Applied Data Science

##article.authors##

  • Michael Overton University of Idaho

Keywords:

Data Science, Graduate, Asynchronous , Data Analysis, Statistics

Course Description

Data science is a growing field of study that is having an impact on nearly every aspect of our daily lives. While many data science courses focus on software engineering and predictive analytics, the purpose of this course is to provides students with a strong foundation of data-related skills. This course is a broad introduction into the field of data science with a focus on growing the students conceptual understand of data and data science, while also providing them a practical data-oriented skill set that will translate into most scientific careers. 

Course Objectives

  • Describe, classify, and understand the concepts of data, data science, big data, datafication, data ethics, and the data science process.
  • Find, clean, transform, and analyze data using RStudio and Tidyverse functions.
  • Implement an exploratory data analysis that (1) wrangles data, (2) cleans data, (3) visualizes data, and (4) summarize data.
  • Understand and utilize predictive analytics techniques.

Downloads

Posted

2022-07-08