Skagit Valley College

Catalog Course Search Details

New Course: this course was added after the last catalog

 Course Title:   Introduction to Data and its Application

 Title Abbreviation:   INTRO TO DATA

 Department:    IMDS

 Course #:    101

 Credits:    5

 Variable:     No

 IUs:    5

 CIP:    30.7101

 EPC:    573

 REV:    2021


 Course Description  

Introduction to the field of data science, building skills in data analysis, visualization and organization using current application tools and learning applied skills in data fundamentals. Includes an introduction to non-relational data, and a preview of data science possibilities in the world of information management and related fields.

 Prerequisite  

Prerequisite: None.

Additional Course Details

Contact Hours (based on 11 week quarter)

Lecture: 55

Lab: 0

Other: 0

Systems: 0

Clinical: 0


Intent: Distribution Requirement(s) Status:  

Vocational Preparatory Required for ATA degree  

Equivalencies At Other Institutions

Other Institution Equivalencies Table
Institution Course # Remarks
N/A

Learning Outcomes

After completing this course, the student will be able to:

  1. Explain the value of information management and data science in a variety of organizational and societal contexts.
  2. Demonstrate data exploration concepts and methods using current applications.
  3. Demonstrate data organization concepts and methods using current applications.
  4. Demonstrate data visualization concepts and methods using current applications.
  5. Demonstrate data analysis concepts and methods using current applications.

General Education Learning Values & Outcomes

Revised August 2008 and affects outlines for 2008 year 1 and later.

Course Contents

  1. Introduction to foundations of information management and data science.
  2. Introduction to modern technologies and tools alternatives.
  3. Importance of data organization.
  4. Importance of data visualization.
  5. Data analysis levels and tools.
  6. Using modern technologies to support data analysis.