Catalog Course Search Details

 Department:    IMDS

 Course #:    105

 Credits:    5

 Variable:     No

 IUs:    5

 CIP:    30.7101

 EPC:    573

 REV:    2021

 Course Description  

Building on foundational skills in information management and data science, this course provides next-step introduction to more intermediate and advanced concepts and applied skills such as working with data analytics and data visualization. Hands-on experience in exploring data science tools in cloud computing environment is introduced.

 Prerequisite  

Prerequisite: IMDS 120 with a grade of C or higher.

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

Learning Outcomes

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

1. Demonstrate how to perform data analysis using current tools.
2. Execute data models including content and structure.
3. Demonstrate how to use cloud services in the data science process.
4. Discuss the role of data science in solving real-world problems.

General Education Learning Values & Outcomes

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

Course Contents

1. Data analysis techniques using modern tools.
2. Data model content and structure.
3. Introduction to data science process.
4. Introduction to modeling cycle.
5. Introduction to data cleaning and preparation concepts.
6. Introduction to model training, evaluation and deployment concepts.