DASC 1003 - Introduction to Data Science

Description
(F, S, On Demand) This course provides an overview of Data Science for majors and non-majors. This course includes an introduction to the data science analytics process; the importance of ethics and privacy with data and guidelines; training in and applying critical thinking skills to real-world open-ended problems; communicating conclusions and recommendations to diverse applications in various domains; and knowledge and use of the tools of data science .

Pre-Requisite
Completion of or in the process of completing MATH 0103 or higher-level mathematics, excluding MATH 1313 with a grade greater than or equal to C.

Co-Requisite
MATH 0103 - Intermediate Algebra

3 Credit Hour(s)

Contact Hours
45 Lecture/lab

3 Faculty Load Hour(s)

Semesters Offered
Fall, Spring

ACTS Equivalent
None

Grade Mode
A-F

Learning Outcomes
Students completing DASC 1003 should be able to:

•   describe the data science analytics process,
•   apply critical thinking skills to open-ended problems,
•   demonstrate an understanding of the importance of ethics and privacy with data,
•   demonstrate solving data science problems with spreadsheets,
•   discuss the academic requirements and opportunities associated with being a Data Science student;
•   list the resources available to students for maintaining their personal wellness, and experience a sense of belonging to the Data Science program and community.

General Education Outcomes Supported
•   Students will demonstrate technological fluency.
•   Students demonstrate information literacy.

Standard Practices
Topics List:

a.   Data Science definition and required skills
b.   Careers in Data Science
c.   Critical thinking concepts and application
d.   Data Science process
e.   Ethics and privacy issues in data science
f.   Discovery, use, and citation of reputable data sources
g.   Fundamentals of problem solving
h.   Exploratory Data Analysis
i.   Case Studies and Team Projects

Assignments and Projects.
This course requires some in class, hands-on work and also additional hands-on work in the virtual or on-campus computer lab.
Assessments
Homework
Projects
Quizzes
Exams
Grading guidelines
A= 90-100%
B = 80-89%

C = 70-79%

D = 60-69%

F = 0-59%