DASC 1223 - The Role of Data Science in Today’s World

Description
This course is a survey course providing an overview of the Data Science Curriculum and an introduction to the essential elements of data science: data collection and management; summarizing and visualizing data; basic ideas of statistical inference; predictive analytics and machine learning. Students will continue their hands-on experience using the Python and R programming languages and Jupyter notebooks.

Pre-Requisite
PROG 1003 - Programming Logic I
DASC 1001 - Programming for Data Science

Co-Requisite
DASC 1003 - Introduction to Data Science

3 Credit Hour(s)

Contact Hours
45 lecture/lab

3 Faculty Load Hour(s)

Semesters Offered
Fall, Spring, on demand

ACTS Equivalent
None.

Grade Mode
A-F

Learning Outcomes
Students completing DASC 1223 should be able to

General Education Outcomes Supported

Standard Practices
Topics list
1. Introduction to Data Science
2. Data management, Description, Visualization
3. Python and R Refresher
4. Data Collection and Inference
5. Introduction to Predictive Analytics and Machine Learning
6. Industry-representative data sets
7. Case Studies, Mid-Term Project, Group and Final Projects
8. Casual Inference
Learning activities

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